CCN Poster Presentations

 

Multistage Recurrent Circuit Model Implementing Normalization

 
Asit Pal, David J. Heeger, Stefano Martiniani
 
Department of Chemistry, and Center for Soft Matter Research, New York University
Department of Psychology, and Center for Neural Science, New York University
Simons Center for Computational Physical Chemistry, Department of Physics, and Courant Institute of Mathematical Sciences, New York University

Dynamic self-efficacy as a computational mechanism of mania emergence

 
Jing Li, Angela Radulescu
 
Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai
Department of Psychiatry, Icahn School of Medicine at Mount Sinai
Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai

Distinct effects of depression and social anxiety on social craving computations

 
Shawn A Rhoads, Atmana Joshi, Kaustubh R. Kulkarni, & Xiaosi Gu
 
Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai

Representations of Semantic Relations in the Human Brain

 
Catherine Chen, Xue Lily Gong, Fatma Deniz, Daniel Klein, Jack Gallant
 
UC Berkeley, California
Technical University Berlin

Characterization of neural correlates of Macaca mulatta hippocampus in a visual metronome

 
M. Salgado-Ménez, AM. Malagón-Leal, V. de Lafuente
 
Universidad Nacional Autónoma De Mexico

Emergent excitatory/inhibitory balance in neural networks during task training

 
A. Erdem Sagtekin, Emmanouil Giannakakis, Anna Levina
 
Graduate Training Centre of Neuroscience, University of Tübingen
Department of Computer Science, University of Tübingen
Max Planck Institute for Biological Cybernetics
Bernstein Center for Computational Neuroscience

Hierarchies and Compositionality in Diffusion Models

 
Antonio Sclocchi, Alessandro Favero, Matthieu Wyart
 
Swiss Federal Institute of Technology Lausanne

Desegregation of Neuronal Predictive Processing

 
Bin Wang, Nicholas J. Audette, David M. Schneider, Johnatan Aljadeff
 
UC San Diego
New York University
Columbia University

Learning Interacting Theories from Data

 
Claudia Merger, Alexandre René1, Castia Menerkamp, Manite Relast Kirsten Fischer, Peter Buss, Sandra Nestler, David Dahmen
 
RWTH Aachen University
Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA Institute Brain Structure-Function Relationships (INM-10), Jülich
Research Centre
Department of Physics, University of Ottawa

Multimodal Video Transformers Partially Align with Multimodal Grounding and Compositionality in the Brain

 
Dota Tianai Dong, Mariya Toneva
 
Max Planck Institute for Psycholinguistics
Max Planck Institute for Software Systems

Counting Intersections on Smooth Manifolds Bounds External Memory in Deterministic Network Activity

 
Shujun Xiong, Ashok Litwin-Kumar, Dusa McDuff

Deep Learning without Weight Symmetry

 
Li Ji-An, Marcus K. Benna
 
University of California, San Diego

Learning Continous Chaotic Attractors with a Reservoir Computer

 
Lindsay M. Smith, Jason Z. Kim, Zhixin Lu, Dani S. Bassett
 
Department of Physics & Astronomy, University of Pennsylvania
Department of Bioengineering, University of Pennsylvania
Department of Electrical & Systems Engineering, University of Pennsylvania
Department of Neurology, University of Pennsylvania
Department of Psychiatry, University of Pennsylvania Santa Fe Institute
Department of Physics, Princeton University

Place Field Reorganization as State Representation Learning to Improve Policy Convergence

 
M Ganesh Kumar, Cengiz Pehlevan
 
Harvard University

The Generalisability and Flexibility of Representations Across Learning in Humans and Neural Networks

 
Mia Whitefield, Helen Barron, Christopher Summerfield
 
Department of Experimental Psychology, University of Oxford

Differentiable Optimization of Similarity Scores Between Models and Brains

 
Nathan Cloos, Moufan Li, Markus Siegel, Scott .L Brincat, Earl K. Miller, Guangyu Robert Yang, Christopher J. Cueva
 
Massachusetts Institute of Technology

Uncovering the Computation of Dynamic Foraging with Actor-critic Recurrent Neural Networks

 
Po-Chen Kuo, Laura Driscoll, Edgar Y. Walker
 
Neuroscience Graduate Program, University of Washington
Department of Physiology & Biophysics, University of Washington
Allen Institute for Neural Dynamics

Fundamental Limits in the Working Memory Capacity of Large Language Models

 
Dongyu Gong, Xingchen Wan, Dingmin Wang
 
University of Oxford
Yale University

A dual-receptor model of serotonergic psychedelics
-therapeutic insights from simulated cortical dynamics

 
Arthur Juliani, Veronica Chelu, Laura Graesser, Adam Safron
 
Microsoft Research
McGill University
Mila – Quebec Artificial Intelligence Institute
Johns Hopkins’s Center for Psychedelic and Consciousness Research

Investigation of Numerosity Representation in Convolution Neural Networks

 
Alireza Karami, Manuela Piazza
 
Center for Mind/Brain Sciences (CIMeC), University of Trento
INSERM Cognitive Neuroimaging Unit Neurospin, CEA

Modelling dataset bias in machine-learned theories of economic decision-making

 
Tobias Thomas, Dominik Straub, Fabian Tatai, Megan Shene, Tümer Tosik, Kristian Kersting, Constantin Rothkopf
 
Centre for Cognitive Science & Institute of Psychology TU Darmstadt
Centre for Cognitive Science & Institute of Computer Science TU Darmstadt
hessian.Al

High-dimensional neuronal activity from low-dimensional population dynamics: an exactly solvable model

 
Valentin Schmutz, Ali Haydaroglu, Matteo Carandini, Kenneth D. Harris
 
Cortexlab, University College London

Dendritic excitability controls overdispersion

 
Zachary Friedenberger, Richard Naud
 
Department of Physics, University of Ottawa
Centre for Neural Dynamics and Artificial Intelligence
Department of Cellular and Molecular Medicine, University of Ottawa

Axonal-Dendritic Overlap Recurrent Neural Network

 
Zihan Zhang, Stefan Mihalas
 
Department of Applied Mathematics & Computational Neuroscience Center, University of Washington
Center for Data-Driven Discovery for Biology, Allen Institute

Dendritic excitability controls overdispersion

 
Zachary Friedenberger, Richard Naud
 
Department of Physics, University of Ottawa
Centre for Neural Dynamics and Artificial Intelligence, Department of Cellular and Molecular Medicine, University of Ottawa

Specialization in a minimal task-trained network

 
Alisa Leshchenkol
 
Center for Theoretical Neuroscience, Columbia University

Characterizing attractor geometry in human decision making via low-dimensional RNNs

 
Hua-Dong Xiong, Li Ji-An, Robert Wilson, Marcelo Mattar
 
Georgia Tech
UC San Diego
New York University

Hierarchies and Compositionality in Diffusion

 
Models Antonio Sclocchi, Alessandro Favero, Matthieu Wyart
 
EPFL

Contextual Inference Underlies Decision Making in Schizophrenia: An Active Inference Model
 
Adam Manoogian, Adeel Razi, Jakob Hohwy
 
Monash University

A New Look at Low Rank Recurrent Neural Networks

 
Anushri Arora, Jonathan Pillow
 
Department of Computer Science, Princeton University
Princeton Neuroscience Institute, Princeton University

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