List of Accepted Papers

Following is the list of accepted CCN 2018 papers, sorted by paper number. 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 NumberPaper TitleAuthor List
1010Predicting Affective Cognitions in the Resting Adult BrainKeith Bush, Anthony Privratsky, Clinton Kilts, University of Arkansas for Medical Sciences, United States
1016Unique contributions of medial axis structure in human object recognitionVladislav Ayzenberg, Stella Lourenco, Emory University, United States
1021Modeling human visual responses with a U-shaped deep neural network for motion flow-field estimationAtsushi Wada, Satoshi Nishida, Hiroshi Ando, Shinji Nishimoto, National Institute of Information and Communications Technology, Japan
1022Non-Computational Functionalism: Computation and the Function of ConsciousnessGualtiero Piccinini, University of Missouri - Saint Louis, United States
1023The hippocampal formation facilitates social decision-making by transforming reference frames.Raphael Kaplan, Karl Friston, University College London, United Kingdom
1024Representations of 3D visual space in human cortex: Population receptive field models of position-in-depthJulie Golomb, Ohio State University, United States
1028White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State TransitionsJennifer Stiso, Ankit Khambhati, University of Pennsylvania, United States; Tommaso Menara, University of California Riverside, United States; Ari Kahn, Joel Stein, Sandihitsu Das, University of Pennsylvania, United States; Richard Gorniak, Joseph Tracy, Jefferson University, United States; Brian Litt, Kathryn Davis, University of Pennsylvania, United States; Fabio Pasqualetti, University of California Riverside, United States; Timothy Lucas, Danielle Bassett, University of Pennsylvania, United States
1030‘Filtering’ the visual signal with representational models reveals distinct contributions of cortical regions across image propertiesCaitlin Mullin, Seyed-Mahdi Khaligh-Razavi, Yalda Mohsenzadeh, Dimitrios Pantazis, Aude Oliva, Massachusetts Institute of Technology, United States
1031Reconstructing faces from fMRI patterns using Generative Adversarial NetworksRufin VanRullen, Leila Reddy, CNRS, France
1033Predictive Coding Produces Alpha-band Rhythmic Travelling WavesAndrea Alamia, Rufin VanRullen, CNRS - Université de Toulouse, France
1034Dopaminergic changes in striatal pathway competition modify specific cognitive decision parametersKyle Dunovan, Carnegie Mellon University, United States; Catalina Vich, Universitat de les Illes Balears, Spain; Matthew Clapp, University of South Carolina, Spain; Jonathan Rubin, University of Pittsburgh, United States; Timothy Verstynen, Carnegie Mellon University, United States
1035Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathwayMarissa Connor, Christopher Rozell, Georgia Institute of Technology, United States
1036Generalized Schema Learning by Neural NetworksCatherine Chen, Qihong Lu, Andre Beukers, Chris Baldassano, Kenneth Norman, Princeton University, United States
1037Reverse Engineering Neural Networks From Many Partial RecordingsElahe Arani, Radboud University Nijmegen, Netherlands; Sofia Triantafillou, Konrad Kording, University of Pennsylvania, United States
1038Structural support for brain state transitions that contribute to working memoryEli Cornblath, Rastko Ciric, Graham Baum, Kosha Ruparel, Tyler Moore, Ruben Gur, Raquel Gur, David Roalf, Theodore Satterthwaite, Danielle Bassett, University of Pennsylvania, United States
1039Auditory scene analysis as Bayesian inference in sound source modelsMaddie Cusimano, Luke Hewitt, Joshua B. Tenenbaum, Josh H. McDermott, Massachusetts Institute of Technology, United States
1040Modelling Human Visual Uncertainty using Bayesian Deep Neural NetworksPatrick McClure, University of Cambridge, United Kingdom; Tim Kietzmann, Johannes Mehrer, Univeristy of Cambridge, United Kingdom; Nikolaus Kriegeskorte, Columbia Univeristy, United States
1041Using features from deep neural networks to model human categorization of natural imagesRuairidh Battleday, Joshua Peterson, Thomas Griffiths, University of California, Berkeley, United States
1044The functional role of cue-driven feature-based feedback in object recognitionSushrut Thorat, Marcel van Gerven, Marius Peelen, Donders Institute for Brain, Cognition and Behaviour, Netherlands
1045Humans can outperform Q-learning in terms of learning efficiencyHolger Mohr, Katharina Zwosta, Dimitrije Markovic, Sebastian Bitzer, Uta Wolfensteller, Hannes Ruge, Technische Universität Dresden, Germany
1046Deep neural networks trained with heavier data augmentation learn features closer to representations in hITAlex Hernández-García, University of Osnabrück, Germany; Johannes Mehrer, University of Cambridge, United Kingdom; Nikolaus Kriegeskorte, University of CambridgeColumbia University, United States; Peter König, University of Osnabrück, Germany; Tim C. Kietzmann, University of Cambridge, United Kingdom
1048Modeling Hippocampal-Cortical Dynamics During Event ProcessingQihong Lu, Uri Hasson, Kenneth Norman, Princeton University, United States
1049A dynamical systems model of intrinsic and evoked activity, variability, and functional connectivityTakuya Ito, Brian Keane, Ravi Mill, Richard Chen, Luke Hearne, Katelyn Arnemann, Rutgers University, United States; Biyu He, New York University, United States; Horacio Rotstein, New Jersey Institute of Technology, United States; Michael Cole, Rutgers University, United States
1050Semantic Compression of Episodic MemoriesDavid G. Nagy, Balázs Török, Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary
1051Inference of dynamic probabilistic internal representations from reaction time dataBalázs Török, Dávid G. Nagy, MTA Wigner Research Centre for Physics, Hungary; Karolina Janacsek, Dezső Németh, Eötvös Loránd University, Hungary; Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary
1052Improving associative learning studies with Bayesian experimental designFilip Melinscak, Dominik R. Bach, University of Zurich, Switzerland
1054Decomposing spatial conflict BOLD activation using a drift-diffusion model frameworkJames McIntosh, Paul Sajda, Columbia University, United States
1055Unsupervised deep neural network for fMRI feedback modellingMichele Svanera, Andrew T. Morgan, Lucy S. Petro, Lars Muckli, University of Glasgow, United Kingdom
1056Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex: a new quantitative constraint for models of core object recognitionRishi Rajalingham, Hyodong Lee, James J. DiCarlo, Massachusetts Institute of Technology, United States
1057Intuitive Physical Inference from SoundJames Traer, Josh McDermott, Massachusetts Inst. of Technology, United States
1058Decision-making through evidence integration at long timescalesMichael Waskom, Roozbeh Kiani, New York University, United States
1059Decision by Sampling Implements Efficient Coding of Psychoeconomic FunctionsRahul Bhui, Samuel J Gershman, Harvard University, United States
1061The contribution of response correlations to the neural code of V1Mihály Bányai, Marcell Stippinger, Dávid Szalai, Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary; Andreea Lazar, Liane Klein, Johanna Klon-Lipok, Wolf Singer, Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Germany
1062Combining Convolutional Neural Networks and Cognitive Models to Predict Novel Object Recognition in HumansJeffrey Annis, Thomas Palmeri, Vanderbilt University, United States
1066Representation of adversarial images in deep neural networks and the human brainChi Zhang, Xiaohan Duan, National Digital Switching System Engineering and Technological Research Center, China; Ruyuan Zhang, University of Minnesota, United States; Li Tong, National Digital Switching System Engineering and Technological Research Center, China
1068Value-conflict and volatility influence distinct decision-making processesKrista Bond, Kyle Dunovan, Timothy Verstynen, Carnegie Mellon University, United States
1069Antagonistic cross-links and reciprocal couplings emerge in optimal multisensory integrationHe Wang, Hong Kong University of Science and Technology, China; Wen-Hao Zhang, University of Pittsburgh, United States; K. Y. Michael Wong, Hong Kong University of Science and Technology, China; Si Wu, Peking University, China
1071Optimizing deep video representation to match brain activityHugo Richard, Ana Luisa Pinho, Bertrand Thirion, Guillaume Charpiat, Inria, France
1072Brain activity recorded during free viewing of naturalistic short films simultaneously reveals the brain representations of multiple feature spacesAnwar Nunez-Elizalde, Fatma Deniz, James Gao, Jack Gallant, University of California, Berkeley, United States
1074Effect of Signal Alteration on Learning Shape Identity using Sparse RepresentationsMichael Slugocki, McMaster University, Canada; Allison B. Sekuler, Baycrest Health Sciences, Canada; Patrick J. Bennett, McMaster University, Canada
1075A dataset and architecture for visual reasoning with a working memoryGuangyu Robert Yang, Columbia University, United States; Igor Ganichev, Google, United States; Xiao-Jing Wang, New York University, United States; Jonathon Shlens, David Sussillo, Google, United States
1076Modeling Visual Working Memory in SchizophreniaYijie Zhao, Xuemei Ran, Li Zhang, East China Normal University, China; Ruyuan Zhang, University of Minnesota, United States; Yixuan Ku, East China Normal University, China
1077The neurocomputational mechanisms of human sequential decision making under uncertainty in a spatial search taskDirk Ostwald, Lilla Horvath, Freie Universität Berlin, Germany
1078Computational mechanisms of human state-action-reward contingency learning under perceptual uncertaintyDirk Ostwald, Rasmus Bruckner, Hauke Heekeren, Freie Universität Berlin, Germany
1079Endogenous pre-stimulus activity modulates category tuning in ventral temporal cortex and influences perceptual behaviorYuanning Li, Carnegie Mellon University, United States; Michael Ward, Mark Richardson, University of Pittsburgh, United States; Max G'Sell, Carnegie Mellon University, United States; Avniel Ghuman, University of Pittsburgh, United States
*1080The Exploration-Exploitation Dilemma as a Tool for Studying AddictionIrene Cogliati Dezza, Xavier Noel, Axel Cleeremans, Université Libre de Bruxelles, Belgium; Angela Yu, University of California San Diego, United States
1081Deep Neural Networks Represent Semantic Category in Object Images Independently from Low-level ShapeAstrid Zeman, J Brendan Ritchie, Stefania Bracci, Hans Op de Beeck, KULeuven, Belgium
*1082Mapping the Dark Side: Visual Selectivity of Default Network DeactivationsTomas Knapen, Vrije Universiteit Amsterdam & Spinoza Centre, KNAW, Netherlands; Daan van Es, Vrije Universiteit Amsterdam, Netherlands
1083Cortical feedback to superficial layers of V1 contains predictive scene information.Andrew Morgan, Lucy Petro, Lars Muckli, University of Glasgow, United Kingdom
1084A biphasic temporal pattern in pupil size around perceptual switches in binocular rivalryGilles de Hollander, Vrije Universiteit Amsterdam, Netherlands; Eline R. Kupers, New York University, United States; Jan W. Brascamp, Michigan State University, United States; Tomas H. Knapen, Vrije Universiteit Amsterdam, Netherlands
1085Topographic Deep Artificial Neural Networks (TDANNs) predict face selectivity topography in primate inferior temporal (IT) cortexHyodong Lee, James DiCarlo, Massachusetts Institute of Technology, United States
1086Short-term Sequence Memory: Compressive effects of Recurrent Network DynamicsAdam Charles, Princeton University, United States; Han Lun Yap, DSO National Laboratories, Singapore; Dong Yin, University of California, Berkeley, United States; Christopher Rozell, Georgia Institute of Technology, United States
1087Additive Continuous-time Joint Partitioning of Neural VariabilityAdam Charles, Jonathan Pillow, Princeton University, United States
1088Voxel-wise Modeling with Spatial Regularization: Application to Semantic Mapping during Natural ListeningÖZGÜR YILMAZ, EMİN ÇELİK, TOLGA ÇUKUR, Bilkent University, Turkey
1090Temporal dynamics underlying sound discrimination in the human brainMatthew Lowe, Santani Teng, Yalda Mohsenzadeh, MIT, United States; Ian Charest, University of Birmingham, United Kingdom; Dimitrios Pantazis, Aude Oliva, MIT, United States
*1091Neurocomputational Modeling of Human Physical Scene UnderstandingIlker Yildirim, Kevin Smith, Mario Belledonne, Jiajun Wu, Joshua Tenenbaum, MIT, United States
1092Rapid detection of social interactions in the human brainLeyla Isik, Anna Mynick, Dimitrios Pantazis, Nancy Kanwisher, MIT, United States
1094Learning to overexert cognitive control in the Stroop taskLaura Bustamante, Princeton University, United States; Falk Lieder, Max Planck Institute for Intelligent Systems, Germany; Sebastian Musslick, Princeton University, United States; Amitai Shenhav, Brown University, United States; Jonathan Cohen, Princeton University, United States
1096Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) StudyMarkus Kern, Translational Neurotechnology Lab, Germany; Johanna Ruescher, Faculty of Biology, Germany; Tonio Ball, Translational Neurotechnology Lab, Germany; Andreas Schulze-Bonhage, Epilepsy Center, Germany
1097A Neural Microcircuit Model for a Scalable Scale-invariant Representation of TimeYue Liu, Zoran Tiganj, Michael Hasselmo, Marc Howard, Boston University, United States
1098Theta phase at encoding leads to successful memory formationJosefina Cruzat, Mireia Torralba, Manuela Ruzzoli, Gustavo Deco, Salvador Soto-Faraco, Universitat Pompeu Fabra, Spain
1099Saccadic guidance for information gathering in natural scenesKirsty McNaught, Maneesh Sahani, University College London, United Kingdom
1100Equivalence of Equilibrium Propagation and Recurrent BackpropagationBenjamin Scellier, Yoshua Bengio, University of Montreal, Canada
1103A Greedy Best-First Search Algorithm for Accurate Functional Brain MappingNima Asadi, Yin Wang, Ingrid Olson, Zoran Obradovic, Temple University, United States
*1104Familiarity Affects Early Perceptual Stages of Face ProcessingKatharina Dobs, Leyla Isik, Dimitrios Pantazis, Nancy Kanwisher, Massachusetts Institute of Technology, United States
1105Emergence of Topographical Correspondences between Deep Neural Network and Human Ventral Visual CortexYalda Mohsenzadeh, Caitlin Mullin, Dimitrios Pantazis, Aude Oliva, Massachusetts Institute of Technology, United States
1107A mathematical model of real-world object shape predicts human perceptual judgmentsCaterina Magri, Andrew Marantan, L Mahadevan, Talia Konkle, Harvard University, United States
1109Evidence for chunking vs. statistical learning in motor sequence productionNicola J. Popp, Neda Kordjaz, Paul Gribble, Jörn Diedrichsen, University of Western Ontario, Canada
1110Deep Predictive Coding Models of Sensory Information Processing in the BrainShirin Dora, Cyriel Pennartz, University of Amsterdam, Netherlands; Sander Bohte, Centrum Wiskunde & Informatica, Netherlands
1113Global-and-local attention networks for visual recognitionDrew Linsley, Brown University, United States; Dan Shiebler, Twitter, United States; Sven Eberhardt, Amazon, United States; Thomas Serre, Brown University, United States
*1115Inferences about Uniqueness in Statistical LearningAnna Leshinskaya, Sharon L Thompson-Schill, University of Pennsylvania, United States
1116Learning long-range spatial dependencies with horizontal gated-recurrent unitsDrew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre, Brown University, United States
1118The role of textural statistics vs. outer contours in deep CNN and neural responses to objectsBria Long, Stanford University, United States; Talia Konkle, Harvard University, United States
1120High-Level Features Organize Perceived Action SimilaritiesLeyla Tarhan, Talia Konkle, Harvard University, United States
1121Brain age prediction for post-traumatic stress disorder patients with convolutional neural networks: a multi-modal neuroimaging studyXin Niu, Hualou Liang, Fengqing Zhang, Drexel university, United States
1122Phoneme-level processing in low-frequency cortical responses to speech explained by acoustic featuresChristoph Daube, Robin A. A. Ince, University of Glasgow, United Kingdom; Joachim Gross, Westfälische Wilhelms-Universität, Germany
1123BOLD predictions: automated simulation of fMRI experimentsLeila Wehbe, UC Berkeley, United States; Alexander G Huth, UT Austin, United States; Fatma Deniz, James Gao, UC Berkeley, United States; Marie-Luise Kieseler, Dartmouth University, United States; Jack L Gallant, UC Berkeley, United States
1125Corticostriatal signatures of learning efficient internal models for controlDaniel McNamee, University of Cambridge, United Kingdom; Matthew Botvinick, DeepMind, United Kingdom; Samuel Gershman, Harvard University, United States
1126Gaussian Process Models Characterize Other-Regarding Strategies Over Multiple Timescales in a Dynamic Social GameKelsey McDonald, Duke University, United States; William F. Broderick, New York University, United States; Scott Huettel, John Pearson, Duke University, United States
1127Potential cortical and computational biases in representational similarity analysisDaniel Leeds, David Shutov, Fordham University, United States
*1128A Generative Model of People's Intuitive Theory of EmotionsSean Dae Houlihan, Max Kleiman-Weiner, Joshua Tenenbaum, Rebecca Saxe, Massachusetts Institute of Technology, United States
1129Experimental And Computational Investigation of the Effects of Variable RSI on Sequence LearningSneha Kummetha, Pramod Kaushik, Anuj Shukla, International Institute of Information Technology, Hyderabad, India; Bapi Raju Surampudi, International Institute of Information Technology, Hyderabad and University of Hyderabad, India
1132Evidence for an Intuitive Physics Engine in the Human BrainSarah Schwettmann, Josh Tenenbaum, Nancy Kanwisher, MIT, United States
1133Calcium imaging in canary (serinus canaria) HVC reveals latent states supporting behavioral sequencing with long range history dependenceYarden Cohen, Jun Shen, Dawit Semu, Timothy M. Otchy, Timothy J. Gardner, Boston University, United States
1134Learning Intermediate Features of Object Affordances with a Convolutional Neural NetworkAria Wang, Michael Tarr, Carnegie Mellon University, United States
1135Natural Sound Statistics Predict Auditory Grouping PrinciplesWiktor Mlynarski, Josh McDermott, Massachusetts Institute of Technology, United States
1136Data-driven methods reveal the generalizing mechanisms of speech processing in naturally varying soundscapesMoritz Boos, Applied Neurocognitive Psychology Lab, Germany; Jörg Lücke, Machine Learning Group, Germany; Jochem Rieger, Applied Neurocognitive Psychology Lab, Germany
1137A Large Scale Multi-Label Action Dataset for Video UnderstandingMathew Monfort, Kandan Ramakrishnan, MIT, United States; Dan Gutfreund, IBM Research, United States; Aude Oliva, MIT, United States
1139Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasksSiyuan Gao, Gal Mishne, Dustin Scheinost, Yale University, United States
1140A public fMRI dataset of 5000 scenes: a resource for human vision scienceNadine Chang, John Pyles, Abhinav Gupta, Michael Tarr, Carnegie Mellon University, United States; Elissa Aminoff, Fordham University, United States
1141Improving Corticostriatal Parcellation Through Multilevel Bagging with PyBASCAki Nikolaidis, Child Mind Institute, United States; Joshua Vogelstein, Johns Hopkins University, United States; Pierre Bellec, University of Montreal, Canada; Michael Milham, Child Mind Institute, United States
*1142Auditory texture synthesis from task-optimized convolutional neural networksJenelle Feather, Josh H. McDermott, Massachusetts Institute of Technology, United States
1143Music selectivity in the cortex is independent of extensive musical trainingDana Boebinger, Harvard University, United States; Sam Norman-Haignere, Ecole Normale Superieure, France; Josh McDermott, Nancy Kanwisher, Massachusetts Institute of Technology, United States
*1144From Pixels to Scene Categories: Unique and Early Contributions of Functional and Visual FeaturesMichelle R. Greene, Bates College, United States; Bruce C. Hansen, Colgate University, United States
1145Training Humans and MachinesAki Nikolaidis, Child Mind Institute, United States
1146Mapping the Human CerebellumMaedbh King, Rich Ivry, University of California, Berkeley, United States; Joern Diedrichsen, Western University, Canada
*1147Learned context dependent categorical perception in a songbirdTim Sainburg, Marvin Thielk, Timothy Gentner, University of California San Diego, United States
1148Performance Optimization is Insufficient for Building Accurate Models for Neural RepresentationJonathan Yu, Qihong Lu, Uri Hasson, Kenneth Norman, Jonathan Pillow, Princeton University, United States
1149Worminator: A platform to enable bio-inspired (C. elegans) roboticsRaphael Norman-Tenazas, Jordan Matelsky, Kapil Katyal, Erik Johnson, William Gray-Roncal, Johns Hopkins University Applied Physics Laboratory, United States
1151Combining heuristics with counterfactual play in reinforcement learning.Erik Peterson, Necati Müyesser, Kyle Dunovan, Tim Verstynen, Carnegie Mellon University, United States
1152Explaining Visual Cortex Phenomena using Recursive Cortical NetworkAlexander Lavin, J. Swaroop Guntupalli, Miguel Lázaro-Gredilla, Wolfgang Lehrach, Dileep George, Vicarious AI, United States
1153Convolutional Neural Network Achieves Human-level Accuracy in Music Genre ClassificationMingwen Dong, Rutgers University, United States
1154Cortical Microcircuits from a Generative Vision ModelDileep George, Alexander Lavin, J. Swaroop Guntupalli, David Mely, Nick Hay, Miguel Lázaro-Gredilla, Vicarious AI, United States
1157Texture Statistics: The Mechanism Behind Ensemble Perception in Human VisionSasen Cain, University of California San Diego, United States; Matthew Cain, United States Army and Tufts University, United States
1158Spectral Power Variation Separates Oscillatory from Non-Oscillatory Stochastic Neural DynamicsRichard Gao, Lauren Liao, Bradley Voytek, University of California, San Diego, United States
1159A Procedural Roadblock to Mechanistic Understanding of Neural CircuitsVenkat Ramaswamy, National Centre for Biological Sciences, India
1161Network constraints on learnability of probabilistic motor sequencesAri E. Kahn, Elisabeth A. Karuza, University of Pennsylvania, United States; Jean M. Vettel, U.S. Army Research Laboratory, United States; Danielle S. Bassett, University of Pennsylvania, United States
1162Deep Graph Convolutional Neural Networks Identify Frontoparietal Control and Default Mode Network Contributions to Mental ImageryMichael Craig, Ram Adapa, Ioannis Pappas, David Menon, Emmanuel Stamatakis, University of Cambridge, United Kingdom
1164Memory mechanisms predict sampling biases in sequential decision tasksMarcelo Mattar, Princeton University, United States; Deborah Talmi, University of Manchester, United Kingdom; Nathaniel Daw, Princeton University, United States
1165Disinhibition as a canonical neural mechanism for flexible behaviorDominic Standage, Martin Pare, Gunnar Blohm, Queen's University, Canada
1167A Perceptual Confirmation Bias from Approximate Online InferenceRichard Lange, Ankani Chattoraj, Matthew Hochberg, University of Rochester, United States; Jeffrey Beck, Duke University, United States; Jacob Yates, Ralf Haefner, University of Rochester, United States
1168Controllability Analysis on Functional Brain NetworksShi Gu, Shikuang Deng, University of Electronic Science and Technology of China, China
1169Structure from Noise: Mental Errors Yield Abstract Representations of EventsChristopher Lynn, Ari Kahn, Danielle Bassett, Univ of Pennsylvania, United States
1171Neural and computational dissociations between objects, scenes, and near-scale reachspacesEmilie Josephs, Talia Konkle, Harvard University, United States
1172Beware of the beginnings: intermediate and higher-level representations in deep neural networks are strongly affected by weight initializationJohannes Mehrer, University of Cambridge, United Kingdom; Nikolaus Kriegeskorte, Columbia University, United States; Tim C. Kietzmann, University of Cambridge, United Kingdom
*1174Understanding Action Prediction with Machine Learning and PsychophysicsEmalie McMahon, National Institute of Mental Health, United States; Ray Gonzalez, Ken Nakayama, Harvard University, United States; Leslie G. Ungerleider, Maryam Vaziri-Pashkam, National Institute of Mental Health, United States
1176Flexible Computations through Rapid Reconfiguration of Latent DynamicsEvan D. Remington, Devika Narain, Eghbal A. Hosseini, Mehrdad Jazayeri, Massachusetts Institute of Technology, United States
1177A Network Science Cartography of Cognitive Control System DynamicsCarrisa V Cocuzza, Julia Hamilton, Emily Winfield, Rutgers University, United States; Danielle S. Bassett, University of Pennsylvania, United States; Michael W Cole, Rutgers University, United States
1178Analog Computation in Computational Cognitive NeuroscienceCorey Maley, University of Kansas, United States
1179Uncovering mental and neural structure through data-driven ontology discoveryIan Eisenberg, Patrick Bissett, A Zeynep Enkavi, Jamie Li, Stanford University, United States; David MacKinnon, Arizona State University, United States; Lisa Marsch, Dartmouth College, United States; Russell Poldrack, Stanford University, United States
1180Statistical modeling of social face perception in humansJinyan Guan, Chaitanya K. Ryali, Angela J. Yu, University of California San Diego, United States
1181A Bayesian account of human pessimism bias in the multi-armed bandit taskDalin Guo, Angela J. Yu, University of California San Diego, United States
1183From prediction to modification - modeling first impression of facesAmanda Song, Chad Atalla, Li Linjie, Bartholomew Tam, Garrison Cottrell, University of California, San Diego, United States
*1184Distinct Computational Models of Reading Correspond to Distinct but Similar Neural Activation PatternsWilliam Graves, Rutgers University -- Newark, United States; Amulya Bidar Nataraj, Rutgers Business School, United States
1186The impact of noise correlation on multivariate pattern classification in fMRIRUYUAN ZHANG, Kendrick Kay, University of Minnesota, United States
1187Deep Learning Classification Study of First-Episode Treatment-Naïve Schizophrenia Using Brain Cortical Area and Cognitive FeaturesYinfei Li, Tao Li, West China Hospital, China
1189Izhikevich Models For Hippocampal Neurons And Its Sub-Region CA3Priyamvada Modak, V. Srinivasa Chakravarthy, Indian Institute of Technology Madras, India
1190Representational dynamics in the human ventral stream captured in deep recurrent neural netsTim C Kietzmann, Courtney J Spoerer, University of Cambridge, United Kingdom; Lynn Sörensen, University of Amsterdam, Netherlands; Olaf Hauk, University of Cambridge, United Kingdom; Radoslaw M Cichy, Freie Universität Berlin, Germany; Nikolaus Kriegeskorte, Columbia University, United States
1191Shaping Model-Free Reinforcement-Learning with Model-Based PseudorewardsPaul Krueger, Thomas Griffiths, Princeton University, United States
1192Choice History Biases Subsequent Evidence AccumulationAnne Urai, Jan Willem de Gee, Konstantinos Tsetsos, Tobias Donner, University Medical Center Hamburg-Eppendorf, Germany
1193How are the statistics of object co-occurrence represented in human visual cortex?Michael Bonner, Russell Epstein, University of Pennsylvania, United States
1194Predicting memory performance using a joint model of brain and behaviorDavid Halpern, Shannon Tubridy, Lila Davachi, Todd Gureckis, New York University, United States
1195A selective diffusion model of brain network activityDaniel Graham, Yan Hao, Hobart & William Smith Colleges, United States
1196Noisy inference of value signals in frontal cortex drives exploration during reward-guided learningCharles Findling, Vasilisa Skvortsova, Ecole normale supérieure, France; Rémi Dromnelle, Université Pierre et Marie Curie, France; Nicolas Chopin, École nationale de la statistique et de l'administration économique, France; Stefano Palminteri, Valentin Wyart, Ecole normale supérieure, France
1197Are you sure about that? On the origins of confidence in concept learningHrvoje Stojic, Eran Eldar, Hassan Bassam, Peter Dayan, Raymond J. Dolan, University College London, United Kingdom
*1198Smart on the Inside: Functionally Rich Differences in Connectivity Within the Dorsolateral Prefrontal Cortex Are Present in Early InfancyChiara Caldinelli, Trinity College Dublin, Ireland; Laura Cabral, Western University, Canada; Rhodri Cusack, Trinity College Dublin, Ireland
1199Constructing neural-level models of behavior in working memory tasksZoran Tiganj, Nathanael Cruzado, Marc W. Howard, Boston University, United States
1202Brain connectivity is modularly represented in the genomeMaxwell Bertolero, Graham Baum, Theodore Satterthwaite, Danielle Bassett, University of Pennsylvania, United States
1203Understanding illusory face perception in the human brainSusan Wardle, Jessica Taubert, National Institutes of Health, United States; Lina Teichmann, Macquarie University, Australia; Chris Baker, National Institutes of Health, United States
1204Temporal structure of learning to regulate ventral tegmental area using real-time fMRI neurofeedbackShabnam Hakimi, Duke University, United States; Jeffrey MacInnes, University of Washington, United States; Kathryn Dickerson, Alison Adcock, Duke University, United States
1206Modeling the Intuitive Physics of Stability Judgments Using Deep Hierarchical Convolutional Neural NetworksColin Conwell, George Alvarez, Harvard University, United States
1207Microcircuit Design for Real-Time Data Acquisition and Neuromuscular Control of Insect MotionEvan Faulkner, Abhishek Dutta, University of Connecticut, United States
1208Why is the fusiform face area recruited for other domains of expertise?Garrison Cottrell, UCSD, United States
1209Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximationChaitanya K. Ryali, Angela J. Yu, University of California, San Diego, United States
1211Ghost Units Yield Biologically Plausible Backprop in Deep Neural NetworksThomas Mesnard, Gaëtan Vignoud, Montreal Institute for Learning Algorithms, Canada; Walter Senn, University of Bern, Switzerland; Yoshua Bengio, Montreal Institute for Learning Algorithms, Canada
1212Thalamic Modulation of Memory in Recurrent NetworksPeter Stratton, The University of Queensland, Australia; Michael Halassa, Massachusetts Institute of Technology, United States
1213Inverse POMDP: Inferring Internal Model and Latent BeliefsZhengwei Wu, Baylor College of Medicine, United States; Paul Schrater, University of Minnesota, United States; Xaq Pitkow, Rice University, United States
1214Modeling the effects of temporal context on neural responses across the cortical hierarchyHsiang-Yun Chien, Christopher Honey, Johns Hopkins University, United States
1215General Shape Features Allow for Categorization of Written Symbols Across Font VariationDaniel Janini, Talia Konkle, Harvard University, United States
1216Decision-related activity & feature-selective attention: evidence for a common mechanism in macaque V2Katrina R Quinn, Stephane Clery, Paria Pourriahi, Hendrikje Nienborg, University of Tübingen, Germany
*1217How sensory ecology affects the utility of planningUgurcan Mugan, Malcolm A. MacIver, Northwestern University, United States
1218Linking neural representations for decision-making between monkey and human cortexPaula Kaanders, Hamed Nili, Tim Behrens, Laurence Hunt, University of Oxford, United Kingdom
1219Neural mechanisms of human decision-makingKai Krueger, Seth Herd, Ananta Nair, eCortex Inc, United States; Jessica Mollick, Yale University, United States; Randall O'Reilly, University of Colorado Boulder, United States
1220Visualizing the global geometry of population representations of multiple visual object categories with spheresAndrew David Zaharia, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, United States; Alexander Walther, Realeyes, United Kingdom; Nikolaus Kriegeskorte, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, United States
1221An Algorithm for Clustering Decision-Making Phenotypes from Behavioural DataAbraham Nunes, Alexander Rudiuk, Thomas Trappenberg, Dalhousie University, Canada
*1222Neural Population Control via Deep ANN Image SynthesisPouya Bashivan, Kohitij Kar, James DiCarlo, MIT, United States
1224A value-based explanation for lapses in perceptual decisionsSashank Pisupati, Lital Chartarifsky, Anne Churchland, Cold Spring Harbor Laboratory, United States
1225Learning Simple Computations in Dynamical Systems by ExampleJason Kim, Danielle Bassett, University of Pennsylvania, United States
1226Response Inhibition in Adolescents is Moderated by Brain Connectivity and Social Network StructureSteven Tompson, U.S. Army Research Laboratory, United States; Emily Falk, University of Pennsylvania, United States; Jean Vettel, U.S. Army Research Laboratory, United States; Danielle Bassett, University of Pennsylvania, United States
1228Reevaluating revaluation: evidence for value construction during decision makingAkram Bakkour, Ariel Zylberberg, Michael Shadlen, Daphna Shohamy, Columbia University, United States
1231A flexible model of working memoryFlora Bouchacourt, Tim Buschman, Princeton Neuroscience Institute, United States
1232Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representationsKamila Maria Jozwik, Massachusetts Institute of Technology and University of Cambridge, United States; Nikolaus Kriegeskorte, Columbia University, United States; Radoslaw Martin Cichy, Free University Berlin, Germany; Marieke Mur, University of Cambridge, United Kingdom
1234Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition?Jonas Kubilius, Kohitij Kar, Kailyn Schmidt, James DiCarlo, MIT, United States
1235The dynamics of frustrationBowen Fung, Dean Mobbs, Colin Camerer, California Institute of Technology, United States
1236Auditory letter-name processing elicits crossmodal representations in blind listenersSantani Teng, Smith-Kettlewell Eye Research Institute, United States; Verena Sommer, Max Planck Institute for Human Development, Germany; Radoslaw Cichy, Free University of Berlin, Germany; Dimitrios Pantazis, Aude Oliva, Massachusetts Institute of Technology, United States
1237Does the brain represent words? An evaluation of brain decoding studies of language understandingJon Gauthier, Anna Ivanova, Massachusetts Institute of Technology, United States
1239Mod-DeepESN: Modular Deep Echo State NetworkZachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi, Rochester Institute of Technology, United States
1240Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perceptionThomas Schatz, Naomi Feldman, University of Maryland & Massachusetts Institute of Technology, United States
1241The many directions of feedback alignmentBrian Cheung, Daniel Jiang, UC Berkeley, United States
1242Deep Predictive Learning in VisionRandall O'Reilly, John Rohrlich, University of Colorado Boulder, United States
1243Repetition Suppression during Movement Execution Reflects Different Mechanisms in the Striatum than in the NeocortexEva Berlot, Nicola J. Popp, Jörn Diedrichsen, Western University, Canada
1244Oscillations in Stochastic Neural Computational SystemsGary Engler, Michael Zabarankin, Stevens Institute of Technology, United States
1245Orientation selectivity and stimulus vignetting in human visual cortexZvi Roth, National Institutes of Health, United States; David Heeger, New York University, United States; Elisha Merriam, National Institutes of Health, United States
1246Beauty-in-averageness and its contextual modulations: A Bayesian accountChaitanya K. Ryali, Angela J. Yu, University of California, San Diego, United States
1247Combining Biological and Artificial Approaches to Understand Perceptual Spaces for Categorizing Natural Acoustic SignalsMarvin Thielk, Tim Sainburg, University of California San Diego, United States; Tatyana Sharpee, Salk Institute, United States; Timothy Gentner, University of California San Diego, United States
1248Quantifying the effect of staining methods on extracted neuron morphologyRoozbeh Farhoodi, Benjamin Lansdell, Konrad Kording, University of Pennsylvania, United States
1249Neural coding of facial features underlying the social perception of facesSophia J. Huang, Jianling Liu, Dalin Guo, Chaitanya K. Ryali, Jinyan Guan, Samer Sabri, Angela J. Yu, University of California, San Diego, United States
1250Signal power as the limited resource of working memoryThomas Christie, Paul Schrater, University of Minnesota, United States
1251Activation alignment: exploring the use of approximate activity gradients in multilayer networksThomas Mesnard, Montreal Institute for Learning Algorithms, Canada; Blake Richards, University of Toronto Scarborough, Canada
1253Incorporating an adaptive learning rate in a neural model of action selectionSverrir Thorgeirsson, Brent Komer, Chris Eliasmith, University of Waterloo, Canada
1254Task Demands and Stimulus Normalization in Face Perception: an fMRI StudyNicholas Blauch, Rosemary Cowell, University of Massachusetts, Amherst, United States
1255Voxel to voxel encoding models reveal unexpected structure in unexplained varianceMaggie Mae Mell, Thomas Naselaris, Medical University of South Carolina, United States
1257Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behaviorKohitij Kar, Kailyn Schmidt, James DiCarlo, Massachusetts Institute of Technology, United States
1258Laterally connected neural field provides precise centroid estimatesSebastian Waz, Charles Chubb, University of California, Irvine, United States
1259Towards a common philosophy of explanation for artificial and biological intelligenceJessica Thompson, University of Montreal, Canada
1260Approximate inference explains paradoxical data in two-event causal inference taskSabyasachi Shivkumar, Madeline Cappelloni, Ross Maddox, Ralf M. Haefner, University of Rochester, United States
1261Learning and Reasoning in a Complex EnvironmentDavid Barack, C Daniel Salzman, Columbia University, United States
1262Cross-collaboration Breakout: "How can we bring neuroscientific insights into neural network models?"Liberty Hamilton, University of Texas at Austin, United States; Xiao-Jing Wang, New York University, United States
*1263A framework for linking computations and rhythm-based timing patterns in neural firing, such as phase precession in hippocampal place cellsEdward Frady, Pentti Kanerva, Friedrich Sommer, UC Berkeley, United States
1264Learning to attend in a brain-inspired deep neural networkHossein Adeli, Gregory Zelinsky, Stony Brook University, United States
1265Human Priors in Hierarchical Program InductionMark Ho, Sophia Sanborn, Fred Callaway, David Bourgin, Tom Griffiths, UC Berkeley, United States
1267Capturing the geometric structure of episodic memories for naturalistic experiencesAndrew Heusser, Jeremy Manning, Dartmouth College, United States
1269Neurons of the prefrontal cortex encode a representation of a Bayesian belief during reinforcement learningRamon Bartolo, Richard Saunders, Andrew Mitz, Bruno Averbeck, National Institutes Of Health, United States
1271Predicting human perceived similarity across a wide range of object categories via sparse positive embeddingsMartin Hebart, Laboratory of Brain & Cognition, National Institute of Mental Health, United States; Charles Zheng, Francisco Pereira, Section on Functional Imaging Methods, National Institute of Mental Health, United States; Chris Baker, Laboratory of Brain & Cognition, National Institute of Mental Health, United States
1274A variational image reconstruction algorithm reveals distortion and uncertainty in mental imageryThomas Naselaris, Medical University of South Carolina, United States
1275How does motion affect material perception of deformable objects?Wenyan Bi, American University, United States; Hendrikje Nienborg, University of Tubingen, Germany; Bei Xiao, American University, United States
1276Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory CortexMelikasadat Emami, Mojtaba Sahraee Ardakan, Parthe Pandit, Alyson Fletcher, University of California, Los Angeles, United States; Sundeep Rangan, New York University, United States; Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi, Duke University, United States

* Selected for oral presentation


The CCN Steering Committee thanks the following individuals for contributing their time to reviewing CCN 2018 papers:

Elissa Aminoff
Stefano Anzellotti
Chris Baker
Curtis Baker
Akram Bakkour
Christopher Baldassano
David Barack
Jeffrey Beck
Yoshua Bengio
Roland Benoit
Apoorva Bhandari
Dan Biderman
Gunnar Blohm
Sander Bohte
Michael Bonner
Stefania Bracci
Tim Buschman
Ming Bo Cai
McKell Carter
Ian Charest
Adam Charles
Janice Chen
Junichi Chikazoe
Hannah Choi
Ruben Coen-Cagli
Anne Collins
Vincent Costa
Gary Cottrell
Rosemary Cowell
Tolga Çukur
Aniruddha Das
Nathaniel Daw
Alejando De La Vega
Rachel N. Denison
James J. DiCarlo
Jörn Diedrichsen
Pamela K. Douglas
Jan Drugowitsch
Sarah DuBrow
Yaara Erez
Emily Falk
Vincent Ferrera
Daniel Figueiredo
Birte Forstmann
Alona Fyshe
Dileep George
Raphael Gerraty
Samuel Gershman
Julie Golomb
Iris Groen
J. Swaroop Guntupalli
Todd Gureckis
Hyowon Gweon
Ralf Haefner
Michael Halassa
David Halpern
Liberty Hamilton
Martin Hebart
Alex Hernández-García
Christopher Honey
Tomoyasu Horikawa
Laurence Hunt
J. Benjamin Hutchinson
Alexander G. Huth
Leyla Isik
Kamila Jozwik
Nancy Kanwisher
Kohitij Kar
Kendrick Kay
Roozbeh Kiani
Tim C. Kietzmann
Daniel Kimmel
Maedbh King
David Klein
Peter König
Talia Konkle
Anna Konova
Nikolaus Kriegeskorte
Jonas Kubilius
Michael Landy
Daniel Leeds
Mark Lescroart
Grace Lindsay
Brian Litt
Zhongming Liu
Bria Long
Olga Lositsky
Jeremy Manning
Daniele Marinazzo
Mackenzie Mathis
James Mazer
Patrick McClure
Daniel McNamee
Johannes Mehrer
Elisha Merriam
Nima Mesgarani
Yoichi Miyawaki
Dean Mobbs
Yalda Mohsenzadeh
Ida Momennejad
Andrew T Morgan
Caitlin Mullin
Marieke Mur
Thomas Naselaris
Hendrikje Nienborg
Shinji Nishimoto
Uta Noppeney
Bruno Olshausen
Hans Op de Beeck
Dirk Ostwald
Stefano Palminteri
Dimitrios Pantazis
Lucas Parra
John Pearson
Cengiz Pehlevan
Vassilis Pelekanos
Joshua Peterson
Xaq Pitkow
Russell Poldrack
Romain Quentin
Dobromir Rahnev
Leila Reddy
Blake Richards
J. Brendan Ritchie
Zvi Roth
Constantin Rothkopf
Christopher Rozell
Jonathan Rubin
Robb Rutledge
Mojtaba Sahraee Ardakan
Theodore Satterthwaite
Cristina Savin
Andrew Saxe
Steven Scholte
Paul Schrater
John Serences
Thomas Serre
David Soto
Thomas Sprague
Fabio Stefanini
Ghislain St-Yves
David Sussillo
Michael Tarr
Santani Teng
Bertrand Thirion
Brandon Turner
Anne Urai
Rufin VanRullen
Lav R. Varshney
Maryam Vaziri-Pashkam
Timothy Verstynen
Bradley Voytek
Dirk Walther
Susan Wardle
Michael Waskom
Leila Wehbe
Christoph Weidemann
Martin Wiener
G. Elliott Wimmer
Daniel Wolpert
Jacob Yates
Ilker Yildirim
Corey Ziemba