PS-2B: Poster Session 2B |
Session Type: Poster |
Time: Sunday, September 15, 17:15 - 20:15 |
Location: H Fläche 1.OG |
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PS-2B.1: MEG energy landscape abnormalities in juvenile myoclonic epilepsy |
Dominik Krzeminski; Cardiff University |
Naoki Masuda; University of Bristol |
Khalid Hamandi; Cardiff University |
Krish Singh; Cardiff University |
Jiaxiang Zhang; Cardiff University |
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PS-2B.2: Quantitatively comparing predictive models with the Partial Information Decomposition |
Christoph Daube; University of Glasgow |
Bruno Giordano; Centre National de la Recherche Scientifique |
Phillippe Schyns; University of Glasgow |
Robin Ince; University of Glasgow |
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PS-2B.3: Accelerated Texforms: Alternative Methods for Generating Unrecognizable Object Images with Preserved Mid-Level Features |
Arturo Deza; Harvard University |
Yi-Chia Chen; Harvard University |
Bria Long; Stanford University |
Talia Konkle; Harvard University |
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PS-2B.4: The Notorious Difficulty of Comparing Human and Machine Perception |
Judy Borowski; University of Tuebingen |
Christina M. Funke; University of Tuebingen |
Karolina Stosio; University of Tuebingen |
Wieland Brendel; University of Tuebingen |
Thomas S. A. Wallis; University of Tuebingen |
Matthias Bethge; University of Tuebingen |
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PS-2B.5: The Nature of the Animacy Organization in Human Ventral Temporal Cortex |
Sushrut Thorat; Radboud University |
Daria Proklova; The University of Western Ontario |
Marius Peelen; Radboud University |
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PS-2B.6: A potential reset mechanism for the modulation of decision processes under uncertainty |
Krista Bond; Carnegie Mellon University |
Alexis Porter; Carnegie Mellon University |
Timothy Verstynen; Carnegie Mellon University |
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PS-2B.7: A multi-stage recurrent neural network better describes decision-related activity in dorsal premotor cortex |
Michael Kleinman; University of California, Los Angeles |
Chandramouli Chandrasekaran; Boston University |
Jonathan Kao; University of California, Los Angeles |
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PS-2B.8: Dead Rectangles as a Stimulus for Perceptual Organisation Research |
Heiko Schütt; New York University |
Weiji Ma; New York University |
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PS-2B.9: Detecting sub-second activation sequences with sequential fMRI pattern analysis |
Lennart Wittkuhn; Max Planck Institute for Human Development |
Nicolas W. Schuck; Max Planck Institute for Human Development |
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PS-2B.10: Attentional influences in primary visual cortex: an investigation of key task factors |
Kieran Mohr; University College Dublin |
Simon Kelly; University College Dublin |
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PS-2B.11: Temporal Difference Learning for Recurrent Neural Networks |
Risheek Garrepalli Garrepalli; Oregon State University |
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PS-2B.12: Predicate learning via neural oscillations supports one-shot generalization between video games |
Leonidas A. A. Doumas; University of Edinburgh |
Guillermo Puebla; University of Edinburgh |
John E. Hummel; University of Illinois |
Andrea E. Martin; Max Planck Institute for Psycholinguistics |
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PS-2B.13: A Formal Framework for Structured N-Back Stimuli Sequences |
Morteza Ansarinia; University of Luxembourg |
Mussack Dominic; University of Luxembourg |
Paul Schrater; University of Minnesota, Twin Cities |
Pedro Cardoso-Leite; University of Luxembourg |
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PS-2B.14: Ergodicity-Breaking Reveals Time Optimal Economic Behavior in Humans |
David Meder; Copenhagen University Hospital Hvidovre |
Finn-Lennart Rabe; ETH Zurich |
Tobias Morville; Copenhagen University Hospital Hvidovre |
Kristoffer H. Madsen; Copenhagen University Hospital Hvidovre |
Magnus T. Koudahl; Eindhoven University of Technology |
Ray J. Dolan; University College London |
Hartwig R. Siebner; Copenhagen University Hospital Hvidovre |
Oliver J. Hulme; Copenhagen University Hospital Hvidovre |
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PS-2B.15: Towards Global Recurrent Models of Visual Processing: Capsule Networks |
Adrien Doerig; EPFL |
Lynn Schmittwilken; EPFL |
Mauro Manassi; UC Berkeley |
Michael Herzog; EPFL |
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PS-2B.16: Uncertainty through Sampling: The Correspondence of Monte Carlo Dropout and Spiking in Artificial Neural Networks |
Kai Standvoss; Radboud University |
Lukas Grossberger; Bosch GmbH |
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PS-2B.17: Formalizing a Perceptual-Mnemonic Theory of the Medial Temporal Lobe |
Tyler Bonnen; Stanford University |
Daniel L. K. Yamins; Stanford University |
Anthony D. Wagner; Stanford University |
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PS-2B.18: Perceptual uncertainty modulates human reward-based learning |
Rasmus Bruckner; Freie Universität Berlin |
Hauke Heekeren; Freie Universität Berlin |
Dirk Ostwald; Freie Universität Berlin |
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PS-2B.19: Attention manipulation in reinforcement learning agents |
Oriol Corcoll; Tartu University |
Abdullah Makkeh; Tartu University |
Jaan Aru; Tartu University |
Dirk Oliver Theis; Tartu University |
Raul Vicente Zafra; Tartu University |
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PS-2B.20: Visual Features for Invariant Coding by Face Selective Neurons |
Wilbert Zarco; The Rockefeller University |
Winrich Freiwald; The Rockefeller University |
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PS-2B.21: Automatic methods for cortex-wide layer identification of electrophysiological signals reveals a cortical motif for the expression of neuronal rhythms |
Andre Bastos; MIT |
Omar Costilla-Reyes; MIT |
Earl Miller; MIT |
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PS-2B.22: Neural Likelihood |
Christoph Blessing; University Tuebingen |
Edgar Y. Walker; University Tuebingen |
Katrina R. Quinn; University Tuebingen |
R. James Cotton; Shirley Ryan Ability Lab |
Wei Ji Ma; New York University |
Andreas S. Tolias; Baylor College of Medicine |
Hendrikje Nienborg; University Tuebingen |
Fabian H. Sinz; University Tuebingen |
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PS-2B.23: Convolutional neural networks performing a visual search task show attention-like limits on accuracy when trained to generalize across multiple search stimuli |
David Nicholson; Emory University |
Astrid Prinz; Emory University |
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PS-2B.24: Configural Learning depends on Task Complexity and Temporal Structure |
Nicholas Menghi; University of East Anglia |
Will Penny; University of East Anglia |
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PS-2B.25: Comparing neural simulations by neural density estimation |
Jan Boelts; Technical University of Munich |
Jan-Matthis Lueckmann; Technical University of Munich |
Pedro J. Goncalves; Research Center caesar |
Henning Sprekeler; Technical University of Berlin |
Jakob H. Macke; Technical University of Munich |
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PS-2B.26: Modeling in Neuroscience as a Decision Process |
Paul Schrater; University of Minnesota |
Konrad Kording; University of Pennsylvania |
Gunnar Blohm; Queen's University |
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PS-2B.27: Representational similarity analyses in simultaneous EEG-fMRI measurements reveal the spatio-temporal trajectories of reconstructed episodic memories |
Julia Lifanov; University of Birmingham |
Benjamin Griffiths; University of Birmingham |
Juan Linde-Domingo; Max Planck Institute |
Catarina Ferreira; University of Birmingham |
Martin Wilson; University of Birmingham |
Stephen Mayhew; University of Birmingham |
Ian Charest; University of Birmingham |
Maria Wimber; University of Birmingham |
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PS-2B.28: Unifying Neural Delay Representations in Cognitive Tasks: A Joint Human Behavioral and Recurrent Neural Network Study |
Daniel Ehrlich; Yale University |
John D. Murray; Yale University |
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PS-2B.29: Local contour symmetry facilitates the neural representation of scene categories in the PPA. |
John Wilder; University of Toronto |
Morteza Rezanejad; McGill University |
Kaleem Siddiqi; McGill University |
Allan Jepson; Samsung Research |
Sven Dickinson; Samsung Research |
Dirk Walther; University of Toronto |
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PS-2B.30: Visual representations supporting category-specific information about visual objects in the brain |
Simon Faghel-Soubeyrand; Université de Montréal |
Arjen Alink; University of Hamburg |
Eva Bamps; University of Birmingham |
Frédéric Gosselin; Université de Montréal |
Ian Charest; University of Birmingham |
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PS-2B.31: Risk Sensitivity under Partially Observable Markov Decision Processes |
Nikolas Höft; Technische Universität Berlin |
Rong Guo; Technische Universität Berlin |
Vaios Laschos; Technische Universität Berlin |
Sein Jeung; Freie Universität Berlin |
Dirk Ostwald; Freie Universität Berlin |
Klaus Obermayer; Technische Universität Berlin |
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PS-2B.32: Attentional orienting relies on Bayesian estimates of expected and unexpected uncertainty |
Anna Marzecová; Ghent University |
Eva Van den Bussche; KU Leuven |
Tom Verguts; Ghent University |
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PS-2B.33: Hexadirectional coding of trajectories through an abstract multidimensional social network during decisions |
Seongmin Park; University of California, Davis |
Douglas Miller; University of California, Davis |
Erie Boorman; University of California, Davis |
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PS-2B.34: Flexible connectivity under physiological constraints |
Gabriel Ocker; Allen Institute for Brain Science |
Michael Buice; Allen Institute for Brain Science |
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PS-2B.35: Category-selectivity together with a Normalization Model Predicts the Response to Multi-category Stimuli along the Category-Selective Cortex |
Libi Kliger; Tel Aviv University |
Galit Yovel; Tel Aviv University |
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PS-2B.36: Active Inference: Computational Models of Motor Control without Efference Copy |
Manuel Baltieri; University of Sussex |
Christopher L. Buckley; University of Sussex |
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PS-2B.37: A representation-level algorithm for detecting spatial coincidences |
Jennifer Lee; NYU |
Weiji Ma; NYU |
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PS-2B.38: A Model of Full-body Kinematics-based Visual Attention in Daily-Life Tasks |
Alex Harston; Imperial College London |
Chaiyawan Auepanwiriyakul; Imperial College London |
Aldo Faisal; Imperial College London |
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PS-2B.39: How the brain encodes meaning: Comparing word embedding and computer vision models to predict fMRI data during visual word recognition |
Ning Mei; Basque Center on Brain, Cognition, and Language |
Usman Sheikh; Basque Center on Brain, Cognition, and Language |
Roberto Santana; University of Basque Country |
David Soto; Basque Center on Brain, Cognition, and Language |
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PS-2B.40: Neural Measures of Inter- vs Intra-individual Differences in Sustained Attention |
David Rothlein; VA Boston Healthcare System |
Joseph DeGutis; VA Boston Healthcare System |
Michael Esterman; VA Boston Healthcare System |
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PS-2B.41: Selective enhancement of object representations through multisensory integration |
David Tovar; Vanderbilt University |
Micah Murray; University of Lausanne |
Mark Wallace; Vanderbilt University |
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PS-2B.42: Implicit Scene Segmentation in Deeper Convolutional Neural Networks |
Noor Seijdel; University of Amsterdam |
Nikos Tsakmakidis; Centrum Wiskunde & Informatica |
Edward de Haan; University of Amsterdam |
Sander Bohte; Centrum Wiskunde & Informatica |
Steven Scholte; University of Amsterdam |
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PS-2B.43: Optimal Timing for Episodic Retrieval and Encoding for Event Understanding |
Qihong Lu; Princeton University |
Zi Ying Fan; Princeton University |
Uri Hasson; Princeton University |
Kenneth Norman; Princeton University |
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PS-2B.44: Hierarchical semantic compression predicts texture selectivity in early vision |
Mihály Bányai; MTA Wigner RCP |
Dávid G. Nagy; MTA Wigner RCP |
Gergő Orbán; MTA Wigner RCP |
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PS-2B.45: Using EEG to Predict Speech Intelligibility |
Ivan Iotzov; City University of New York |
Lucas Parra; City University of New York |
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PS-2B.46: Neural Topic Modelling |
Pamela Hathway; Imperial College London |
Dan F.M. Goodman; Imperial College London |
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PS-2B.47: Deep reinforcement learning in a spatial navigation task: Multiple contexts and their representation |
Nicolas Diekmann; Ruhr University Bochum |
Thomas Walther; Ruhr University Bochum |
Sandhiya Vijayabaskaran; Ruhr University Bochum |
Sen Cheng; Ruhr University Bochum |
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PS-2B.48: A mechanistic account of transferring structural knowledge across cognitive maps |
Shirley Mark; University College London |
Rani Moran; University College London |
Thomas Parr; University College London |
Steve Kennerley; University College London |
Tim Behrens; University of Oxford |
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PS-2B.49: Brain Functional Connectivity in Wakefulness Predicts Susceptibility to Anaesthesia |
Feng Deng; Trinity College Dublin |
Rhodri Cusack; Trinity College Dublin |
Lorina Naci; Trinity College Dublin |
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PS-2B.50: The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis |
Jessica Thompson; Université de Montréal |
Yoshua Bengio; Université de Montréal |
Marc Schoenwiesner; University of Leipzig |
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PS-2B.51: Simple Associative Learning Accounts for the Complex Dynamics of Operant Extinction |
José R. Donoso; Ruhr-Universität Bochum |
Zhiyin Lederer; Ruhr-Universität Bochum |
Julian Packheiser; Ruhr-Universität Bochum |
Roland Pusch; Ruhr-Universität Bochum |
Thomas Walther; Ruhr-Universität Bochum |
Onür Güntürkün; Ruhr-Universität Bochum |
Sen Cheng; Ruhr-Universität Bochum |
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PS-2B.52: A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features |
Lotte Weerts; Imperial College London |
Claudia Clopath; Imperial College London |
Dan F.M. Goodman; Imperial College London |
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PS-2B.53: A way around the exploration-exploitation dilemma |
Erik Peterson; Carnegie Mellon |
Timothy Verstynen; Carnegie Mellon |
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PS-2B.54: The relational processing limits of classic and contemporary neural network models of language processing |
Guillermo Puebla; University of Edinburgh |
Andrea Martin; Max Planck Institute for Psycholinguistics |
Leonidas Doumas; University of Edinburgh |
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PS-2B.55: The causal role of temporoparietal junction in computing social influence in human decision-making |
Lei Zhang; University Medical Center Hamburg-Eppendorf |
Farid Kandil; University Medical Center Hamburg-Eppendorf |
Claus Hilgetag; University Medical Center Hamburg-Eppendorf |
Jan Gläscher; University Medical Center Hamburg-Eppendorf |
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PS-2B.56: Adding Neurally-inspired Mechanisms to the SceneWalk model improves Scan Path Predictions for Natural Images |
Lisa Schwetlick; University of Potsdam |
Lars O. M. Rothkegel; University of Potsdam |
Ralf Engbert; University of Potsdam |
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PS-2B.58: Pattern recognition of deep and superficial layers of the macaque brain using large-scale local field potentials |
Omar Costilla-Reyes; Massachusetts Institute of Technology |
Andre M Bastos; Massachusetts Institute of Technology |
Earl K Miller; Massachusetts Institute of Technology |
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PS-2B.59: Adaptation to environmental statistics in an action control task |
Nils Neupärtl; Technical University Darmstadt |
Constantin Rothkopf; Technical University Darmstadt |
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PS-2B.60: Task-Dependent Attention Allocation through Uncertainty Minimization in Deep Recurrent Generative Models |
Kai Standvoss; Radboud University |
Silvan Quax; Radboud University |
Marcel van Gerven; Radboud University |
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PS-2B.61: Conjunctive Coding of Color and Shape in Convolutional Neural Networks |
JohnMark Taylor; Harvard University |
Yaoda Xu; Yale University |
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PS-2B.62: Bayesian nonparametric models characterize social sensitivity in a competitive dynamic game |
Kelsey McDonald; Duke University |
Scott Huettel; Duke University |
John Pearson; Duke University |
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PS-2B.63: Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting |
Dipankar Niranjan; Kohli Centre on Intelligent Systems, IIIT Hyderabad |
Iballa Burunat; University of Jyvaskyla |
Petri Toiviainen; University of Jyvaskyla |
Elvira Brattico; Center for Music In the Brain, Aarhus University |
Vinoo Alluri; Kohli Centre on Intelligent Systems, IIIT Hyderabad |
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PS-2B.64: Searching for rewards in graph-structured spaces |
Charley M. Wu; Max Planck Institute for Human Development |
Eric Schulz; Harvard University |
Samuel J. Gershman; Harvard University |
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PS-2B.65: Identifiability of Gaussian Bayesian bandit models |
Maarten Speekenbrink; University College London |
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PS-2B.66: Explaining Human Auditory Scene Analysis Through Bayesian Clustering |
Nathanael Larigaldie; Durham University |
Ulrik Beierholm; Durham University |
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PS-2B.67: Testing Computational Models of Goal Pursuit |
Florian Mohnert; Max Planck Institute for Intelligent Systems |
Mateo Tošić; Max Planck Institute for Intelligent Systems |
Falk Lieder; Max Planck Institute for Intelligent Systems |
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PS-2B.68: Choice History Biases Depend on Environmental Stability and State Uncertainty |
Anke Braun; University Medical Center Hamburg-Eppendorf |
Anne E Urai; Cold Spring Harbor |
Tobias Donner; University Medical Center Hamburg-Eppendorf |
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PS-2B.69: Rate-space attractors and low dimensional dynamics interact with spike-synchrony statistics in neural networks |
Daniel Scott; Brown University |
Michael Frank; Brown University |
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PS-2B.70: Do Biologically-Realistic Recurrent Architectures Produce Biologically-Realistic Models? |
Grace Lindsay; Columbia University |
Theodore Moskovitz; Columbia University |
Guangyu Robert Yang; Columbia University |
Kenneth Miller; Columbia University |
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PS-2B.71: Hippocampal Remapping as Learned Clustering of Experience |
Honi Sanders; Massachusetts Institute of Technology |
Samuel Gershman; Harvard University |
Matthew Wilson; Massachusetts Institute of Technology |
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PS-2B.72: A Calculus for Brain Computation |
Christos H. Papadimitriou; Columbia University |
Santosh S. Vempala; Georgia Tech |
Daniel Mitropolsky; Columbia University |
Michael J. Collins; Columbia University |
Wolfgang Maass; Technische Universität Graz |
Larry F. Abbott; Columbia University |
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PS-2B.73: Do sleep and anesthesia share common multifractal EEG dynamics? Insights from adversarial domain adaptation |
Louis Leconte; Ecole Normale Supérieure Paris-Saclay |
Tarek Lajnef; Université de Montréal |
Thomas Thiery; Université de Montréal |
George Mashour; University of Michigan |
Stefanie Blain-Moraes; McGill University |
Perrine Ruby; Université Claude Bernard Lyon 1, Université de Lyon |
Karim Jerbi; Université de Montréal |
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PS-2B.74: An overview of functional alignment in artificial and biological neural networks: Current recommendations and open questions |
Elizabeth DuPre; McGill University |
Jean-Baptiste Poline; McGill University |
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PS-2B.75: Working with Episodic Memory: The N-back Task |
Andre Beukers; Princeton University |
Kenneth Norman; Princeton University |
Jonathan Cohen; Princeton University |
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