Following is the list of accepted CCN 2022 papers, sorted by paper title. You can use the search feature of your web browser to find your paper number. Notifications to all authors have also been sent by email. If you have not received your notification of the results by email, please contact us at papers@ccneuro.org.
| Paper Number | Paper Title | Author List |
|---|---|---|
| 1135 | “Attentional fingerprints” in conceptual space: Reliable, individuating patterns of visual attention revealed using a natural language model | Amanda J. Haskins, Katherine O. Packard, Caroline E. Robertson, Dartmouth College, United States |
| 1077 | 20 and 40-Hz Flickering-Light Stimulation Induces Changes in Functional Connectivity of Memory-Related Areas | Jeongwon Lee, Donggon Jang, Kassymzhomart Kunanbayev, Dae-Shik Kim, KAIST, Korea (South) |
| 1019 | A Cellular-Level Account of Classical Conditioning | Pantelis Vafidis, Antonio Rangel, California Institute of Technology, United States |
| 1049 | A Characterization of the Neural Representation of Confidence during Probabilistic Learning | Tiffany Bounmy, NeuroSpin, CEA, INSERM, Université Paris-Saclay, Université de Paris, France; Evelyn Eger, Florent Meyniel, NeuroSpin, CEA, INSERM, Université Paris-Saclay, France |
| 1098 | A Connectome-based Predictive Model of Affective Experience During Naturalistic Viewing | Jin Ke, Yuan Chang Leong, The University of Chicago, United States |
| 1230 | A contextual encoding model for human ECoG responses to a spoken narrative | Kristijan Armeni, Christopher Honey, Johns Hopkins University, United States; Tal Linzen, New York University, United States |
| 1021 | A Counterfactual Model of Causal Judgments in Double Prevention | Kevin O'Neill, Duke University, United States; Tadeg Quillien, University of Edinburgh, United Kingdom; Paul Henne, Lake Forest College, United States |
| 1180 | A goal-driven Deep Reinforcement Learning Model Predicts Neural Representations Related to Human Visuomotor Control | JONGHYUK LIM, SUNGBEEN PARK, Sungshin Kim, Hanyang University, Korea (South) |
| 1141 | A heuristic rule explains human perception of predictive structure in naturalistic sequences | Audrey Sederberg, University of Minnesota, United States; Biyu He, NYU Grossman School of Medicine, United States |
| 1253 | A Highly Selective Neural Response to Food in Human Visual Cortex Revealed by Hypothesis-Free Voxel Decomposition | Meenakshi Khosla, Apurva Ratan Murty, Elizabeth Mieczkowski, Nancy Kanwisher, Massachusetts Institute of Technology, United States |
| 1029 | A Large and Rich EEG Dataset for Modeling Human Visual Object Recognition | Alessandro Gifford, Radoslaw Cichy, Freie Universität Berlin, Germany; Kshitij Dwivedi, Gemma Roig, Goethe Universität Frankfurt, Germany |
| 1191 | A mathematical framework for bridging Marr’s levels | Anja Meunier, Moritz Gosse-Wentrup, University of Vienna, Austria |
| 1066 | A multi-level account of the hippocampus from behavior to neurons | Robert Mok, University of Cambridge, United Kingdom; Bradley Love, University College London, United Kingdom |
| 1153 | A Multivariate Point Process Model for Neural Spike Trains | Reza Ramezan, Meixi Chen, Martin Lysy, Paul Marriott, University of Waterloo, Canada |
| 1033 | A neural code for probabilities | Cédric Foucault, Tiffany Bounmy, Sébastien Demortain, Evelyn Eger, Meyniel Florent, NeuroSpin (Cognitive Neuroimaging Unit), France; Bertrand Thirion, NeuroSpin, France |
| 1158 | A New Computational Framework for Estimating Spatio-temporal Population Receptive Fields in Human Visual Cortex | Insub Kim, Eline Kupers, Kalanit Grill-Spector, Stanford University, United States; Garikoitz Lerma-Usabiaga, Basque Center on Cognition, Brain and Language, Spain; Won Mok Shim, Sungkyunkwan University, Korea (South) |
| 1145 | A population receptive field modeling framework of sensory suppression in human visual cortex | Eline Kupers, Insub Kim, Kalanit Grill-Spector, Stanford University, United States |
| 1182 | A Unified Account of Adaptive Learning in Different Statistical Environments | Niloufar Razmi, Matthew Nassar, Brown University, United States |
| 1165 | Accurate implementation of computational neuroscience models through neural ODEs | Sabine Muzellec, CerCO CNRS; Brown University, France; Mathieu Chalvidal, CerCO CNRS; Brown University; ANITI, France; Thomas Serre, Brown University; ANITI, United States; Rufin VanRullen, CerCO CNRS; ANITI, France |
| 1303 | AI-based modeling of brain and behavior: Combining neuroimaging, imitation learning and video games | Anirudha Kemtur, Francois Paugam, Basile Pinsard, Pravish sainath, Yann Harel, Maximilien Le clei, Julie Boyle, Karim Jerbi, Pierre Bellec, University of montreal, Canada |
| 1196 | Aligning human subjects with short acquisition-time fMRI training data | Alexis Thual, Stanislas Dehaene, CEA, France; Bertrand Thirion, Inria, France |
| 1037 | An Efficient Search for Novel Behavioral Strategies in a Vast Program Space | Tzuhsuan Ma, Ann Hermundstad, HHMI Janelia Research Campus, United States |
| 1308 | An fMRI account of non-optic sight in blindness | Jesse Breedlove, Logan Dowdle, Cheryl Olman, Thomas Naselaris, University of Minnesota, United States; Tom Jhou, Medical University of South Carolina, United States |
| 1240 | Analysis of Transformer attention in EEG signal classification | Philipp Thölke, Karim Jerbi, University of Montreal, Canada |
| 1036 | Angular gyrus responses show joint statistical dependence with brain regions selective for different categories | Mengting Fang, University of Pennsylvania, United States; Aidas Aglinskas, Stefano Anzellotti, Boston College, United States; Yichen Li, Harvard University, United States |
| 1278 | Approximate Bayesian Inference captures differential effects of value confidence on obligatory and voluntary choices | Joonhwa Kim, Romy Frömer, Xiamin Leng, Amitai Shenhav, Brown University, United States |
| 1113 | Are there “affect detectors” in the human limbic system? A multivariate analysis of intracranial single cell recordings | Alexander Lawriw, Christopher Cox, Louisiana State University, United States |
| 1201 | Attention based neural networks display human-like one-shot perceptual learning effects | Xujin Liu, Yao Jiang, Mustafa Nasir-Moin, Ayaka Hachisuka, Jonathan Shor, Yao Wang, Biyu He, Eric Oermann, New York University, United States |
| 1211 | Attractor dynamics account for decision uncertainty in macaque prefrontal cortex | Siyu Wang, Rossella Falcone, Barry Richmond, Bruno Averbeck, National Institute of Mental Health, United States |
| 1051 | Bayesian Modeling of Language-Evoked Event-Related Potentials | Davide Turco, Conor Houghton, University of Bristol, United Kingdom |
| 1336 | Beyond linear regression: mapping models in cognitive neuroscience should align with research goals | Anna Ivanova, Martin Schrimpf, Noga Zaslavsky, Evelina Fedorenko, MIT, United States; Stefano Anzellotti, Boston College, United States; Leyla Isik, Johns Hopkins University, United States |
| 1154 | Beyond task-optimized neural models: constraints from embodied cognition | Kaushik Lakshminarasimhan, Columbia University, United States; Akis Stavropoulos, Dora Angelaki, New York University, United States |
| 1302 | Brain State Dynamics Underlying False Alarms | Bikash Sahoo, Adam Snyder, University of Rochester, United States |
| 1296 | Brain-optimized models reveal increase in few-shot concept learning accuracy across human visual cortex | Ghislain St-Yves, Kendrick Kay, Thomas Naselaris, University of Minneapolis, United States |
| 1242 | Brain-to-Brain Linguistic Coupling in Natural Conversations | Zaid Zada, Samuel Nastase, Ariel Goldstein, Uri Hasson, Princeton University, United States |
| 1198 | CogEnv: A Reinforcement Learning Environment for Cognitive Tests | Morteza Ansarinia, Brice Clocher, Aurélien Defossez, Emmanuel Schmück, Pedro Cardoso-Leite, University of Luxembourg, Luxembourg |
| 1286 | CoGraph: Mapping the Structure of the Cognitive Sciences, Neurosciences, & AI | Andrew Hansen, Joachim Vandekerckhove, Megan Peters, University of California - Irvine, United States; Arjun Pradesh, Indian Institute of Technology - Palakkad, India |
| 1087 | Common and distinct changes in brain activation patterns modulated by two different types of prediction errors | Leon Möhring, Jan Gläscher, University Medical Center Hamburg-Eppendorf, Germany |
| 1264 | Common Encoding Axes for Face Selectivity and Non-face Objects in Macaque Face Cells | Kasper Vinken, Margaret Livingstone, Harvard Medical School, United States; Talia Konkle, Harvard University, United States |
| 1275 | Component Activity States Underlying Memory Reactivation in the Posterior Medial Cortex | Yoonjung Lee, Hongmi Lee, Janice Chen, Johns Hopkins University, United States |
| 1288 | Compositionally generalizing task structures through hierarchical clustering | Rex Liu, Michael Frank, Brown University, United States |
| 1124 | Computational Parametric Mapping: A Method For Mapping Cognitive Models Onto Neuroimaging Data | Simon Steinkamp, David Meder, Oliver Hulme, Copenhagen University Hospital - Amager and Hvidovre, Denmark; Iyadh Chaker, Carthage University, National Institute of Applied Science and Technology, Tunisia; Félix Hubert, University of Geneva, Switzerland |
| 1099 | Constrained representations of numerical magnitudes | Arthur Prat-Carrabin, Michael Woodford, Columbia University, United States |
| 1146 | Construal Set Selection and Rigidity in Planning | Mark Ho, Jonathan Cohen, Thomas Griffiths, Princeton Univeresity, United States |
| 1044 | Contextual Influences on the Perception of Motion and Depth | Zhe-Xin Xu, Greg DeAngelis, University of Rochester, United States |
| 1306 | Contextual Representation Ensembling | Tyler Tomita, Johns Hopkins University, United States |
| 1229 | Continual Reinforcement Learning with Multi-Timescale Successor Features | Raymond Chua, Blake Richards, Doina Precup, McGill University, Canada; Christos Kaplanis, DeepMind, United Kingdom |
| 1081 | Conversion of ConvNets to Spiking Neural Networks With Less Than One Spike per Neuron | Javier López-Randulfe, Nico Reeb, Alois Knoll, Technical University of Munich, Germany |
| 1060 | ConvNets Develop Characteristics of Visual Cortex when Receiving Retinal Input | Danny da Costa, Lukas Kornemann, Rainer Goebel, Mario Senden, Maastricht University, Netherlands |
| 1262 | Correcting the Hebbian Mistake: Toward a Fully Error-Driven Hippocampus | Yicong Zheng, Xiaonan Liu, Charan Ranganath, Randall O'Reilly, University of California, Davis, United States; Satoru Nishiyama, Kyoto University, Japan |
| 1184 | Decision-making in dynamic, continuously evolving environments: quantifying the flexibility of human choice | Maria Ruesseler, Lilian Weber, Tom Marshall, Jill O'Reilly, Laurence Hunt, University of Oxford, United Kingdom |
| 1293 | Deep convolutional neural networks fail to classify images ‘in the wild’ | Michelle Greene, Jennifer Hart, Bates College, United States |
| 1095 | Deep Learning for Parameter Recovery from a Neural Mass Model of Perceptual Decision-Making | Emanuele Sicurella, Jiaxiang Zhang, Cardiff University, United Kingdom |
| 1031 | Deep Learning Reveals Non-linear Relationships between EEG and fMRI Dynamics | Leandro Jacob, Laura Lewis, Boston University, United States |
| 1214 | Deep neural networks face a fundamental trade-off to explain human vision | IVAN FELIPE RODRIGUEZ RODRIGUEZ, Drew Linsley, Thomas Fel, Thomas Serre, Brown University, United States |
| 1237 | Deriving Loss Functions for Regression and Classification from Humans | Hansol Ryu, University of Calgary, Canada; Manoj Srinivasan, The Ohio State University, United States |
| 1261 | Detecting change points in neural population activity with contrastive metric learning | Carolina Urzay, Nauman Ahad, Mehdi Azabou, Geethika Atmakuri, Eva L. Dyer, Georgia Institute of Technology, United States; Aidan Schneider, Keith B. Hengen, Washington University in St. Louis, United States |
| 1210 | Developmental differences in social brain responses during movie viewing | Angira Shirahatti, Leyla Isik, Johns Hopkins University, United States |
| 1057 | Different Brain Mechanisms of Time Estimation Depending on Situational Information | Jungtak Park, Hyeon-Ae Jeon, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea (South) |
| 1027 | Different computational strategies for different reinforcement learning problems | Pieter Verbeke, Tom Verguts, Ghent University, Belgium |
| 1243 | Different Spectral Representations in Optimized Artificial Neural Networks and Brains | Richard Gerum, Joel Zylberberg, York University, Canada; Cassidy Pirlot, Alona Fyshe, University of Alberta, Canada |
| 1082 | Disentangled Face Representations in Deep Generative Models and the Human Brain | Paul Soulos, Leyla Isik, Johns Hopkins University, United States |
| 1064 | Dissociation Between The Use of Implicit and Explicit Priors in Bayesian Perceptual Inference | Caroline Bévalot, Atomic Energy Commission, National Institute of Health and Medical Research, University Paris-Saclay & Sorbonne, France; Florent Meyniel, Atomic Energy Commission, National Institute of Health and Medical Research, University Paris-Saclay, France |
| 1224 | Distinct prefrontal networks for semantic integration and articulatory planning | Leyao Yu, Nikolai Chapochnikov, Adeen Flinker, New York University, United States |
| 1071 | Distinguishing Neural Time-series Patterns based on Reservoir-derived Error | Muhammad Furqan Afzal, Christian David Marton, Erin L. Rich, Kanaka Rajan, Icahn School of Medicine at Mount Sinai, United States |
| 1061 | Do Convolutional Neural Networks Model Inferior Temporal Cortex Because of Perceptual or Semantic Features? | Anna Truzzi, Rhodri Cusack, Trinity College Dublin, Ireland |
| 1219 | Do deep convolutional neural networks accurately model representations beyond the ventral stream? | Dawn Finzi, Daniel Yamins, Kalanit Grill-Spector, Stanford University, United States; Kendrick Kay, University of Minnesota, United States |
| 1183 | Do multimodal neural networks better explain human visual representations than vision-only networks? | Bhavin Choksi, Rufin VanRullen, Leila Reddy, Centre national de la recherche scientifique, France |
| 1209 | Do We Need Deep Learning? Towards High-Performance Encoding Models of Visual Cortex Using Modules of Canonical Computations | Atlas Kazemian, Eric Elmoznino, Michael F. Bonner, Johns Hopkins University, United States |
| 1079 | Dynamical Models of Decision Confidence in Visual Perception: Implementation and Comparison | Sebastian Hellmann, Michael Zehetleitner, Manuel Rausch, Catholic University of Eichstätt-Ingolstadt, Germany |
| 1266 | Economically expanding internal models in human density estimation | Tianyuan Teng, Hang Zhang, Peking University, China; Li Kevin Wenliang, University College London, United Kingdom |
| 1169 | Effects of Predictability and Controllability on Pain Perception | Marie Habermann, Christian Büchel, University Medical Center Hamburg-Eppendorf, Germany |
| 1156 | Efficiency of object recognition networks on an absolute scale | Richard Murray, Devin Kehoe, York University, Canada |
| 1305 | Estimates of cognitive processes in decision making from neural signals by an interpretable neural network model | Qinhua Jenny Sun, Khuong Vo, Michael Nunez, Joachim Vandekerckhove, Ramesh Srinivasan, University of California, Irvine, United States |
| 1317 | Evidence that noise in human visual cortex encodes naturalistic visual representations | Thomas Naselaris, Thomas Gebhart, Ghislain St-Yves, Kendrick Kay, University of Minnesota, United States |
| 1220 | Exploring the Plasticity-Stability Trade-Off in Spiking Neural Networks | Nicholas Soures, Dhireesha Kudithipudi, University of Texas at San Antonio, United States |
| 1138 | Extracting task-relevant low dimensional representations under data sparsity | Seyedmehdi Orouji, Megan Peters, University of California Irvine, United States |
| 1263 | Face Pareidolia Selectivity in Macaque Face-Cells Does Not Reflect Perceived Faceness | Saloni Sharma, Kasper Vinken, Margaret Livingstone, Harvard Medical School, United States |
| 1034 | Factorized convolution models for interpreting neuron-guided images synthesis | Binxu Wang, Carlos Ponce, Harvard Medical School, United States |
| 1194 | Fixation duration variability increases with mind wandering during scene viewing | Kevin O'Neill, Kristina Krasich, Felipe De Brigard, Duke University, United States; Samuel Murray, Providence College, United States; James Brockmole, University of Notre Dame, United States; Antje Nuthmann, Kiel University, Germany |
| 1283 | Flexible representations of abstract cognitive maps under dynamically changing contexts | Sarah Sweigart, Seongmin Park, Nam Nguyen, Charan Ranganath, Erie Boorman, University of California, Davis, United States |
| 1301 | Flying Objects: Challenging humans and machines in dynamic object vision | Benjamin Peters, Matthew Retchin, Nikolaus Kriegeskorte, Columbia University, United States |
| 1088 | Gaze-centered spatial representations in human hippocampus | Zitong Lu, Julie Golomb, The Ohio State University, United States; Anna Shafer-Skelton, University of Pennsylvania, United States |
| 1119 | Generalization Demands Task-Appropriate Modular Neural Architectures | Ruiyi Zhang, Dora Angelaki, New York University, United States; Xaq Pitkow, Baylor College of Medicine, United States |
| 1139 | Goals distort the representation of space | Paul Muhle-Karbe, Hannah Sheahan, Christopher Summerfield, University of Oxford, United Kingdom; Giovanni Pezzulo, National Research Council of Italy, Italy; Hugo Spiers, University College London, United Kingdom; Samson Chien, Nicolas Schuck, Max Planck Institute for Human Development, Germany |
| 1202 | Grid representations for efficient generalization | Linda Yu, Matthew Nassar, Brown University, United States |
| 1100 | Heterogeneity in strategy use during arbitration between observational and experiential learning | Caroline Charpentier, Seokyoung Min, John O'Doherty, California Institute of Technology, United States |
| 1279 | Hidden knobs: Representations for flexible goal-directed decision-making | Romy Froemer, Amitai Shenhav, Brown University, United States; Sebastian Gluth, University of Hamburg, Germany |
| 1063 | Hierarchical representations of naturalistic social interactions in the lateral visual pathway | Emalie McMahno, Michael Bonner, Leyla Isik, Johns Hopkins University, United States |
| 1200 | How Composite Prior and Noise Shape Multisensory Integration | Xiangyu Ma, He Wang, K. Y. Michael Wong, Hong Kong University of Science and Technology,, China; Wen-Hao Zhang, UT Southwestern Medical Center, United States |
| 1337 | How does the brain combine generative models and discriminative computations in high-level vision? Update on the state of the GAC from 2021. | Benjamin Peters, Zenna Tavares, Nikolaus Kriegeskorte, Columbia University, United States; James DiCarlo, Joshua Tenenbaum, MIT, United States; Todd Gureckis, New York University, United States; Ralf Haefner, University of Rochester, United States; Leyla Isik, Johns Hopkins University, United States; Talia Konkle, Harvard University, United States; Thomas Naselaris, University of Minnesota, United States; Kimberly Stachenfeld, DeepMind, United Kingdom; Doris Tsao, Caltech, United States; Ilker Yildirim, Yale University, United States |
| 1217 | How many non-linear computations are required for CNNs to account for the response properties of V1? | Hui-Yuan Miao, Hojin Jang, Frank Tong, Vanderbilt university, United States |
| 1249 | How much do we know about visual representations? Quantifying the dimensionality gap between DNNs and visual cortex | Raj Magesh Gauthaman, Michael Bonner, Johns Hopkins University, United States |
| 1155 | How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning? | Chengxu Zhuang, Violet Xiang, Daniel Yamins, Stanford University, United States; Yoon Bai, James DiCarlo, MIT, United States; Xiaoxuan Jia, Allen Institute, United States |
| 1251 | Human-like capacity limitation in multi-system models of working memory | Yudi Xie, Christopher Cueva, Guangyu Robert Yang, Massachusetts Institute of Technology, United States; Yu Duan, Aohua Cheng, Tsinghua University, China; Pengcen Jiang, University of Science and Technology of China, China |
| 1055 | Humans imperfectly recruit reward systems as they learn to achieve novel goals | Gaia Molinaro, Anne Collins, University of California, Berkeley, United States |
| 1277 | Humans learning a complex task are picky and sticky | Tiago Quendera, Zachary F. Mainen, Champalimaud Foundation, Portugal; Dongrui Deng, Xi’an Jiaotong University, China; Mani Hamidi, University of Tubingen, Germany; Mattia Bergomi, Veos Digital, Italy; Gautam Agarwal, Claremont Colleges, United States |
| 1273 | Identifying transfer learning in the reshaping of inductive biases | Anna Székely, Wigner Research Centre for Physics // Budapest University of Technology, Hungary; Balázs Török, Mozalearn Ltd., Hungary; Dávid Gergely Nagy, Gergő Orbán, Wigner Research Centre for Physics, Hungary; Mariann M. Kiss, Dezső Németh, Eötvös Lóránd University, Hungary; Karolina Janacsek, University of Greenwich, United Kingdom |
| 1227 | Image Embeddings Informed by Natural Language Significantly Improve Predictions and Understanding of Human Higher-level Visual Cortex | Aria Wang, Michael Tarr, Leila Wehbe, Carnegie Mellon University, United States |
| 1205 | Impact of XAI dose suggestions on the prescriptions of ICU doctors | Myura Nagendran, Anthony Gordon, Aldo Faisal, Imperial College London, United Kingdom |
| 1228 | Individual auto-regressive models for long-term prediction of BOLD fMRI signal | François Paugam, Guillaume Lajoie, Pierre Bellec, Université de Montréal, Canada; Basile Pinsard, Centre de Recherche de l'Institut Gériatrique de Montréal, Canada |
| 1197 | Information coding in frontoparietal regions reflects individual differences in uncertainty-driven choices | Alexander Paunov, Maëva L’Hôtellier, Florent Meyniel, NeuroSpin Center, CEA Paris-Saclay, France; Dalin Guo, Zoe He, Angela Yu, University of California San Diego, United States |
| 1043 | Informative associations between feature, spatial, and category selectivity in human visual cortex | Margaret M. Henderson, Michael J. Tarr, Leila Wehbe, Carnegie Mellon University, United States |
| 1193 | Interpretable neural network models of visual cortex - A scattering transform approach | Donald Shi Pui Li, Michael F. Bonner, Johns Hopkins University, United States |
| 1103 | Intrinsic ionic dynamics, oscillations, and resonance are reflected in and can be extracted from neuronal spike-train cross-correlations | Rodrigo FO Pena, Horacio G Rotstein, New Jersey Institute of Technology and Rutgers University, United States; Martín V Ibarra, Universidad Nacional de la Patagonia San Juan Bosco & CONICET, Argentina |
| 1083 | Investigating individual differences in structure learning | Avinash Vaidya, David Badre, Brown University, United States |
| 1312 | Is attention necessary for object perception? | Akshay Jagadeesh, Justin Gardner, Stanford University, United States |
| 1241 | Isolating Motor Learning Mechanisms in Embodied Virtual Reality | Federico Nardi, Mabel Ziman, Shlomi Haar, A. Aldo Faisal, Imperial College London, United Kingdom |
| 1274 | Large Scale Resting-State Network Connectivities Predict Verbal Suggestibility | Yeganeh Farahzadi, Zoltan Kekecs, Eötvös Loránd University, Hungary |
| 1102 | Latent dimensionality scales with the performance of deep learning models of visual cortex | Eric Elmoznino, Michael Bonner, Johns Hopkins University, United States |
| 1039 | Lateral Inhibition Facilitates Sequential Learning in a Hippocampus-Inspired Auto-Associator | Benjamin Midler, James McClelland, Stanford University, United States |
| 1108 | Learning Cortical Magnification with Brain-Optimized Convolutional Neural Networks | Florian Mahner, Katja Seeliger, Martin Hebart, Max Planck Institute for Human Cognitive and Brain Sciences, Germany; Umut Güçlü, Donders Institute for Brain, Cognition and Behaviour, Netherlands |
| 1128 | Learning efficient attractor-based working memory representations in heterogeneous environments | Tahra L Eissa, Zachary P Kilpatrick, University of Colorado Boulder, United States |
| 1054 | Learning Invariant Object Representations through Local Prediction Error Minimization in a Model of Generative Vision | Matthias Brucklacher, Sander M. Bohte, Jorge F. Mejias, Cyriel M. A. Pennartz, University of Amsterdam, Netherlands |
| 1260 | Leaving alternatives behind: A theoretical and experimental investigation of the role of mutual inhibition in shaping choice | Xiamin Leng, Romy Frömer, Thomas Summe, Amitai Shenhav, Brown University, United States |
| 1320 | Linking human and artificial neural representations underlying face recognition: Insights from MEG and CNNs | Hamza Abdelhedi, Karim Jerbi, University of Montreal, Canada |
| 1080 | Locally Euclidean Cognitive Maps for a Spherical Surface | Misun Kim, Christian F Doeller, Max Planck Institute for Human Cognitive and Brain Sciences, Germany |
| 1234 | Looking into the past: Eye-tracking mental simulation in physical inference | Aaron Beller, Scott Linderman, Tobias Gerstenberg, Stanford University, United States; Yingchen Xu, University College London, United Kingdom |
| 1257 | Manipulated decoy desirability modulates phantom decoy effect | Luis Alvarez, Daniel Acosta-Kane, Angela Yu, University of California, San Diego, United States |
| 1148 | Manipulating and Measuring Variation in DNN Representations | Jason Chow, Thomas Palmeri, Vanderbilt University, United States |
| 1065 | Many but not All Deep Neural Network Audio Models Predict Auditory Cortex Responses and Exhibit Hierarchical Layer-Region Correspondence | Greta Tuckute, Jenelle Feather, Dana Boebinger, Josh H. McDermott, Massachusetts Institute of Technology, United States |
| 1221 | Mapping the representation of social information across cortex | Christine Tseng, Storm Slivkoff, Jack Gallant, UC Berkeley, United States |
| 1295 | Measuring Behavioral Arbitration of the Successor Representation | Ari Kahn, Nathaniel Daw, Princeton University, United States |
| 1226 | Mesocortical Projections Support Encoding of Behaviorally Relevant Content in the Prefrontal Cortex | Sergei Bugrov, RENSSELAER POLYTECHNIC INSTITUTE, United States |
| 1058 | Modality specificity and generality in the hierarchical levels of cognitive control | Taehyun Yoo, Hyeon-Ae Jeon, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Korea (South) |
| 1256 | Model connectivity: overcoming the limitations of functional connectivity by leveraging the power of the voxelwise encoding model framework | Emily Meschke, Matteo Visconti di Oleggio Castello, Jack Gallant, University of California, Berkeley, United States |
| 1147 | Model metamers illuminate divergences between biological and artificial neural networks | Jenelle Feather, Guillaume Leclerc, Aleksander Ma ̨dry, Josh H McDermott, Massachusetts Institute of Technology, United States |
| 1291 | Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task | Jason Li, Nicholas Watters, Hansem Sohn, Mehrdad Jazayeri, Massachusetts Institute of Technology, United States |
| 1218 | Modeling naturalistic face processing in humans with deep convolutional neural networks | Guo Jiahui, Ma Feilong, James V. Haxby, Dartmouth College, United States; Matteo Visconti di Oleggio Castello, University of California, Berkeley, United States; Samuel A. Nastase, Princeton University, United States; M. Ida Gobbini, Università di Bologna, Italy |
| 1175 | Modeling pain in the brain with conditional variational autoencoder | Sungwoo Lee, Jihoon Han, Choongwan Woo, Sungkyunkwan Univercity / Institute for Basic Science, Korea (South) |
| 1282 | Modeling Rhythm in Speech as in Music: Towards a Unified Cognitive Representation | Ruolan Li, Naomi Feldman, University of Maryland, United States; Thomas Schatz, Aix Marseille University & CNRS, France |
| 1118 | Modeling Risk and Reward Expectation and Surprise using Optimal Learning Rates in Human Neuronal Populations to assess Impulsive Choice | Rhiannon Cowan, Tyler Davis, Bornali Kundu, John Rolston, Elliot Smith, University of Utah, United States |
| 1289 | Modelling inter-animal variability | Javier Sagastuy-Brena, Imran Thobani, Aran Nayebi, Rosa Cao, Dan Yamins, Stanford University, United States |
| 1150 | Models of confidence to facilitate engaging task designs | Vanessa Ceja, Yussuf Ezzeldine, Megan A. K. Peters, University of California, Irvine, United States |
| 1171 | Models of processing complex spoken words: the naïve, the passive, and the predictive | Suhail Matar, Alec Marantz, New York University, United States |
| 1247 | More Than Meets the fMRI: Representational Similarities between Real and Artificially Generated fMRI Data | Pabitra Sharma, Sveekruth Sheshagiri Pai, Indian Institute of Science, Bangalore, India |
| 1290 | Multivariate Representation of Sustained Visual Content in a No-Report Paradigm | Gal Vishne, Edden M. Gerber, Leon Y. Deouell, Hebrew University of Jerusalem, Israel; Robert T. Knight, University of California Berkeley, United States |
| 1239 | Navigation representations during active navigation are predominantly goal-directed | Tianjiao Zhang, Jack Gallant, University of California, Berkeley, United States |
| 1208 | Net2Brain: A Toolbox to compare artificial vision models with human brain responses | Domenic Bersch, Kshitij Dwivedi, Martina Vilas, Gemma Roig, Goethe Universität, Frankfurt am Main, Germany, Germany; Radoslaw M. Cichy, Freie Universität Berlin, Berlin, Germany, Germany |
| 1187 | Network Architecture of Cortex and Cerebellum for Supporting Super-learning | Serhat Çağdaş, Yalova University, Turkey; Ismail Akturk, Ozyegin University, Turkey; N. Serap Şengör, İstanbul Technical University, Turkey |
| 1092 | Neural Correlates of Model-Based Generalization | Lukas Neugebauer, Christian Büchel, University Medical Center Hamburg-Eppendorf, Germany |
| 1132 | Neural Mechanisms of Credit Assignment for Inferred Relationships in a Structured World | Phillip Witkowski, Seongmin Park, Erie Boorman, University of California, Daivs, United States |
| 1140 | Neural replay as context-driven memory reactivation | Zhenglong Zhou, Michael Kahana, Anna Schapiro, University of Pennsylvania, United States |
| 1212 | Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning | Arthur Juliani, Ida Momennejad, Microsoft Research, United States; Samuel Barnett, Princeton University, United States; Brandon Davis, Massachusetts Institute of Technology, United States; Margaret Sereno, University of Oregon, United States |
| 1093 | Objects or Context? Learning From Temporal Regularities in Continuous Visual Experience With an Infant-inspired DNN | Cliona O'Doherty, Rhodri Cusack, Trinity College Dublin, Ireland |
| 1248 | Occluded object completion occurs in full across human visual cortex but emerges gradually across layers of CORnet-S | David Coggan, Frank Tong, Vanderbilt, United States |
| 1062 | On the role of feedback in visual processing: a predictive coding perspective | Andrea Alamia, Milad Mozafari, Bhavin Choksi, Rufin VanRullen, CerCo, France |
| 1238 | Opportunistic Experiments on a Large-Scale Survey of Diverse Artificial Vision Models in Prediction of 7T Human fMRI Data | Colin Conwell, Jacob Prince, George Alvarez, Talia Konkle, Havard University, United States; Kendrick Kay, University of Minnesota, United States |
| 1162 | Optimal encoding of prior information in noisy working memory systems | Hua-Dong Xiong, The University of Arizona, United States; Xue-Xin Wei, The University of Texas at Austin, United States |
| 1321 | Optimizing deep learning for Magnetoencephalography (MEG): From sensory perception to sex prediction and brain fingerprinting | Arthur Dehgan, Karim Jerbi, Université de Montréal, MILA, Canada; Irina Rish, Mila, Canada |
| 1130 | Optimizing fidelity of uncertainty representation in distributional codes | Mehrdad Salmasi, Maneesh Sahani, University College London, United Kingdom |
| 1030 | Orthogonal neural encoding of targets and distractors supports cognitive control | Harrison Ritz, Amitai Shenhav, Brown University, United States |
| 1284 | Overcoming the Failure of Neoclassical Economics to Capture Excessive Demand: A Learning-to-Neuroforecast Experimental Approach | John Haracz, Indiana University, United States |
| 1222 | Perceptography: using machine learning to peek into the subjective experience | Elia Shahbazi, Timothy Ma, Arash Afraz, National Institutes of Health (NIH), United States |
| 1018 | Peripheral visual information halves attentional choice biases | Brenden Eum, Antonio Rangel, California Institute of Technology, United States; Stephanie Dolbier, University of California, Los Angeles, United States |
| 1304 | Phonemic representation of narrative speech in human cerebral cortex | Xue Gong, Frederic Theunissen, University of California, Berkeley, United States; Alexander Huth, University of Texas, Austin, United States |
| 1292 | Precision-weighted evidence integration predicts time-varying influence of memory on perceptual decisions | Maria Khoudary, Megan Peters, Aaron Bornstein, University of California, Irvine, United States |
| 1233 | Predicting Individual Differences from Brain Responses to Music using Functional Network Centrality | Arihant Jain, Vinoo Alluri, IIIT Hyderabad, India; Elvira Brattico, Aarhus University, Denmark; Petri Toiviainen, University of Jyvaskyla, Finland |
| 1178 | Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders | Max Grogan, A. Aldo Faisal, Imperial College London, United Kingdom; Lee Miller, Kyle Blum, Northwestern University, United States |
| 1246 | Prediction of brain regions from single channel ECoG signals by deep learning | Ryosuke Negi, Tsukuba Univesity, Japan; Masaru Kuwabara, Ryota Kanai, Araya, Inc, Japan |
| 1287 | Predictive Coding Dynamics Improve Noise Robustness in A Deep Neural Network of the Human Auditory System | Ching Fang, Erica Shook, Justin Buck, Guillermo Horga, Columbia University, United States |
| 1276 | Predictive Coding in Auditory Cortical Neurons of Songbirds | Srihita Rudraraju, Brad Theilman, Michael Turvey, Timothy Gentner, University of California San Diego, United States |
| 1281 | Primate Orbitofrontal Learning of Environmental States | David Barack, University of Pennsylvania, United States; C Daniel Salzman, Columbia University, United States |
| 1285 | Probing population codes and circuit dynamics of probabilistic learning | Nuttida Rungratsameetaweemana, The Salk Institute for Biological Studies, United States; Shruti Kumar, Javier Garcia, US Combat Capabilities Development Command Army Research Laboratory, United States |
| 1334 | Progress on the 2021 Generative Adversarial Collaboration "What constitutes understanding of ventral pathway function?" | Carlos Ponce, Gabriel Kreiman, Harvard Medical School, United States |
| 1310 | Quantitative comparison of imagery and perception | Tiasha Saha Roy, Jesse Breedlove, Ghislain St-Yves, Kendrick Kay, Thomas Naselaris, University of Minnesota, United States |
| 1204 | Rationalizing Behavior during Virtual Reality Navigation | Yizhou Chen, Baylor college of medicine, United States; Paul Schrater, University of Minnesota, United States; Dora Angelaki, New York University, United States; Xaq Pitkow, Rice University, Baylor college of medicine, United States |
| 1255 | Reconstructing the cascade of language processing in the brain using the internal computations of transformer language models | Sreejan Kumar, Theodore Sumers, Ariel Goldstein, Uri Hasson, Kenneth Norman, Thomas Griffiths, Robert Hawkins, Samuel Nastase, Princeton University, United States; Takateru Yamakoshi, University of Tokyo, Japan |
| 1149 | Reconstruction of line illusion from human brain activity | Fan Cheng, Tomoyasu Horikawa, Advanced Telecommunications Research Institute International(ATR), Japan; Kei Majima, Yukiyasu Kamitani, Kyoto University, Japan |
| 1199 | Relating covariability in visual cortex to natural image statistics | Amirhossein Farzmahdi, Ruben Coen-Cagli, Albert Einstein College of Medicine, United States |
| 1307 | Relevance, uncertainty, and expectations affect categorization | Janaki Sheth, Jared Collina, Konrad Kording, Yale Cohen, Maria Geffen, University Of Pennsylvania, United States |
| 1126 | Representation learning facilitates different levels of generalization | Fabian M. Renz, Shany Grossman, Nicolas W. Schuck, Max Planck Research Group NeuroCode, Germany; Peter Dayan, Max Planck Institute for Biological Cybernetics, Germany; Christian Doeller, Max Planck Institute for Human Cognitive and Brain Sciences, Germany |
| 1069 | Representational dynamics of listened and imagined musical sound sequences | David Ricardo Quiroga-Martinez, Robert Knight, Helen Wills Neuroscience Institute and the Department of Psychology, UC Berkeley, United States; Leonardo Bonetti, Center for Eudaimonia and Human Flourishing, Linacre College & Department of Psychiatry, University of Oxford, United Kingdom; Peter Vuust, Center for Music in the Brain, Aarhus University and the Royal Academy of Music, Denmark, Denmark |
| 1168 | Responses in an orientation recall task are generated by taking expectations of distributional beliefs | Peter Vincent, Athena Akrami, Sainsbury Wellcome Centre, United Kingdom; Maneesh Sahani, Gatsby Computational Neuroscience Unit, United Kingdom |
| 1181 | Revealing dimensions underlying the organization of observed actions | Zuzanna Kabulska, Angelika Lingnau, University of Regensburg, Germany |
| 1188 | Revealing the Feature Dimensions Driving Similarity Judgements of Natural Scenes | Peter Brotherwood, Ian Charest, Université de Montréal, Canada; Andrey Barsky, Jasper Van Den Bosch, University of Birmingham, United Kingdom; Kendrick Kay, University of Minnesota, United States |
| 1314 | Role of pupil-linked uncertainties and rewards in value-based decision making | Zoe He, Dalin Guo, Angela Yu, University of California San Diego, San Diego, United States; Maëva L’Hôtellier, Alexander Paunov, Florent Meyniel, CEA Paris-Saclay, Gif-sur-Yvette, France Universit ́e de Paris, France |
| 1318 | Role of Visual Stimuli in Final Seconds of Decision-making | Tanya Upadhyay, Karthika Kamath, Kirtana Sunil Phatnani, Jieya Rawal, Biju Dominic, Fractal Analytics, India |
| 1271 | Scaling up the Evaluation of Recurrent Neural Network Models for Cognitive Neuroscience | Nathan Cloos, Guangyu Robert Yang, Christopher J. Cueva, Massachusetts Institute of Technology, Belgium; Moufan Li, Tsinghua University, China |
| 1084 | Sequential object-based attention for robust visual reasoning | Hossein Adeli, Seoyoung Ahn, Gregory Zelinsky, Stony Brook University, United States |
| 1186 | Similarity in evoked responses does not imply similarity in macroscopic network states across tasks | Javier Rasero, Amy Sentis, Timothy Verstynen, Carnegie Mellon University, United States; Richard Betzel, Indiana University Bloomington, United States; Thomas Kraynak, Peter Gianaros, University of Pittsburgh, United States |
| 1143 | Simulated voxels from the tuned inhibition model of perceptual metacognition to drive model validation via fMRI | Shaida Abachi, Brian Maniscalco, Megan Peters, Univeristy of California, Irvine, United States |
| 1142 | Social Inference from Relational Visual Information: An Investigation with Graph Neural Network Models | Manasi Malik, Leyla Isik, Johns Hopkins University, United States |
| 1032 | Spatially-embedded Recurrent Neural Networks: Bridging common structural and functional findings in neuroscience, including small-worldness, functional clustering in space and mixed selectivity | Jascha Achterberg, Danyal Akarca, Duncan Astle, John Duncan, University of Cambridge, United Kingdom; Daniel Strouse, Matthew Botvinick, DeepMind, United Kingdom |
| 1179 | Spiking Neural Networks for Predictive Coding with a Feedforward Gist Pathway | Kwangjun Lee, Jorge Mejias, Cyriel Pennartz, University of Amsterdam, Netherlands; Shirin Dora, Loughborough University, United Kingdom; Sander Bohte, Centrum Wiskunde & Informatica, Netherlands |
| 1116 | Spontaneous Learning of Face Identity in Expression-Trained Deep Nets | Emily Schwartz, Stefano Anzellotti, Boston College, United States; Kathryn O'Nell, Dartmouth College, United States; Rebecca Saxe, Massachusetts Institute of Technology, United States |
| 1070 | Statistical inference on representational geometries | Heiko Schütt, Alexander D. Kipnis, Nikolaus Kriegeskorte, Columbia University, United States; Jörn Diedrichsen, Western University, Canada |
| 1048 | Subtractive prediction error is encoded in the human auditory midbrain | Alejandro Tabas, Sandeep Kaur, Heike Sönnichsen, Katharina von Kriegstein, Technische Universität Dresden, Germany |
| 1067 | Superstitious learning of abstract order from random reinforcement | Yuhao Jin, Jacqueline Gottlieb, Vincent Ferrera, Columbia University, United States; Greg Jensen, Reed College, United States |
| 1117 | Syntax in working memory using a simple plastic attractor | Lin Sun, Imperial College London, United Kingdom; Sanjay G. Manohar, University of Oxford, United Kingdom |
| 1231 | Target similarity effects in Lag 1 Sparing of the Attentional Blink | Emmanuel Lebeau, Ian Charest, Université de Montréal, Canada |
| 1125 | Task-Dependent Incremental Binding Explained by Cortico-Thalamo-Cortical Interactions – A Neuro-Dynamical Model of Mental Contour Tracing | Daniel Schmid, Heiko Neumann, Ulm University, Germany |
| 1294 | Taxonomizing the Computational Demands of Videos Games for Deep Reinforcement Learning Agents | Lakshmi Narasimhan Govindarajan, Rex Liu, Alekh Ashok, Max Reuter, Michael Frank, Drew Linsley, Thomas Serre, Brown University, United States |
| 1254 | Testing the Effect of Visual Depth on the Perception of Faces in an Online Study | Simon M. Hofmann, Max Planck Institute for Human Cognitive and Brain Sciences, Germany; Abhay Koushik, Université de Paris, France; Felix Klotzsche, Vadim Nikulin, Arno Villringer, Michael Gaebler, Max Planck Institute for Human Cognitive & Brain Sciences, Germany |
| 1085 | The aperiodic activity of LFPs from the human basal ganglia and thalamus show no knee and lower exponent compared to neocortex | Alan Bush, Vasileios Kokkinos, Mark Richardson, Massachusetts General Hospital, Harvard Medical School, United States; Jasmine Zou, Massachusetts Institute of Technology, United States; Witold Lipski, University of Pittsburgh, United States |
| 1297 | The best advice you can give. | Sevan Harootonian, Mark Ho, Nastasia Klevak, Yael Niv, Princeton University, United States |
| 1089 | The Cortical Representation of Linguistic Structures at Different Timescales is Shared between Reading and Listening | Catherine Chen, Tom Dupré la Tour, Jack Gallant, Daniel Klein, Fatma Deniz, UC Berkeley, United States |
| 1023 | The geometry of cognitive maps under dynamic cognitive control | Seongmin Park, Maryam Zolfaghar, Jacob Russin, Douglas Miller, Randall O’Reilly, Erie Boorman, University of California, Davis, United States |
| 1216 | The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains | Ma Feilong, Guo Jiahui, Yaroslav O. Halchenko, James V. Haxby, Dartmouth College, United States; Samuel A. Nastase, Princeton University, United States; M. Ida Gobbini, University of Bologna, Italy |
| 1269 | The medial temporal lobe enables visual perception not possible 'at a glance' | tyler bonnen, Daniel Yamins, Anthony Wagner, Stanford University, United States |
| 1136 | The Neural Representation of Real-World Object Size in Natural Images | Andrew Luo, Leila Wehbe, Michael Tarr, Margaret Henderson, Carnegie Mellon University, United States |
| 1270 | The neurobiology of strategic competition | Yaoguang Jiang, Michael Platt, University of Pennsylvania, United States |
| 1203 | The Representational Manifold | Manolo Martínez, Universitat de Barcelona, Spain |
| 1195 | The Role of Agency in Memory for Narratives | Xian Li, Savannah Born, Janice Chen, Johns Hopkins University, United States; Buddhika Bellana, York University, Canada |
| 1298 | The Role of Episodic Memory in Stimulus-Action Association Learning | Soobin Hong, Aspen Yoo, Anne Collins, University of Berkeley, California, United States |
| 1259 | The role of semantics in similarity judgements of scene stimuli | Katerina Marie Simkova, Jasper van den Bosch, University of Birmingham, United Kingdom; Ian Charest, Université de Montréal, Canada |
| 1086 | Time cell encoding is decoupled from time perception in deep reinforcement learning agents | Ann Zixiang Huang, Dongyan Lin, Blake Richards, McGill University, Quebec AI Institute (Mila), Canada |
| 1074 | Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning | Kassymzhomart Kunanbayev, Donggon Jang, Jeongwon Lee, Dae-Shik Kim, KAIST, Korea (South) |
| 1144 | Training BigGAN on an ecologically motivated image dataset | Weronika Kłos, Katja Seeliger, Martin N. Hebart, Max Planck Institute for Cognitive and Brain Sciences, Germany; Piero Coronica, Max Planck Computing and Data Facility, Germany |
| 1129 | Transfer learning in a 3D-CNN is beneficial for small sample sizes in HCP task data | Philipp Seidel, Jens V. Schwarzbach, Regensburg University, Germany |
| 1177 | Trial-by-trial Bayesian integration with attentional switching, rather than non-Bayesian switching heuristics, underlie perceptual estimation | Tamás Kovács, Central European University, Hungary; Máté Lengyel, University of Cambridge; Central European University, Hungary |
| 1127 | Uncovering the Spatiotemporal Dynamics of Goal-driven Efficient Coding with a Brain-supervised Sparse coding Network | Bruce Hansen, Isabel Gephart, Victoria Gobo, Colgate University, United States; Michelle Greene, Bates College, United States; David Field, Cornell University, United States |
| 1267 | Understanding Learning Trajectories With Infinite Hidden Markov Models | Sebastian Bruijns, Peter Dayan, Max Planck Institute for Biological Cybernetics, Germany; The International Brain Laboratory, The International Brain Laboratory, Germany |
| 1114 | Unsupervised learning of translucent material appearance using StyleGAN | Chenxi Liao, Bei Xiao, American University, United States; Masataka Sawayama, Inria, France |
| 1020 | Using Deep Learning tools for fitting Reinforcement Learning Models | Milena Rmus, Jimmy Xia, Jasmine Collins, Anne Collins, UC Berkeley, United States |
| 1311 | Using Massive Individual fMRI Movie Data to Align Artificial and Brain Representations in an Auditory Network | Maëlle Freteault, Université de Montréal, IMT Atlantique, Canada; Basile Pinsard, Julie Boyle, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Canada; Pierre Bellec, Université de Montréal, Canada; Nicolas Farrugia, IMT Atlantique, France |
| 1151 | Using object reconstruction as top-down attentional feedback yields a shape bias and robustness in object recognition | Seoyoung Ahn, Hossein Adeli, Gregory Zelinsky, Stony Brook University, United States |
| 1075 | Variance-Invariance-Covariance Regularization with Local Self-Supervised Learning Improves Hippocampus Segmentation with Fewer Labels | Kassymzhomart Kunanbayev, Donggon Jang, Jeongwon Lee, Dae-Shik Kim, KAIST, Korea (South) |
| 1173 | VOneCAE: Interpreting through the eyes of V1 | Subhrasankar Chatterjee, Debasis Samanta, IIT Kharagpur, India |
| 1105 | Voxel-wise Encoding Models with Hierarchical Task-optimized Brain Atlas | Huzheng Yang, Shi Gu, University of Electronic Science and Technology of China, China; Yuanning Li, ShanghaiTech University, China |