Center for Computational Neuroscience at Cosyne

2024 Cosyne Posters

The below list includes posters for current CCN members (CCN staff and guest researchers), as well as posters for CCN alums (former center members, including former summer interns).
 

 
1-002
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
Sarah Harvey, Brett Larsen, Alex Williams

 
1-016
Towards the neuroethology of vocal communication in the Mongolian gerbil
Ralph Peterson, Aramis Tanelus, Aman Choudhri, Violet Ivan, David Schneider, Dan Sanes, Alex Williams

 
1-099
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Amin Nejatbakhsh, Isabel Garon, Alex Williams

 
1-115
The representational geometry of hierarchical decision-making processes
Isabella Rischall, Braden Purcell, SueYeon Chung, Roozbeh Kiani

 
1-132
Connectome-constrained deep mechanistic networks enable hypothesis generation and refinement
Janne Lappalainen, Fabian D. Tschopp, Sridhama Prakhya, Mason McGill, Aljoscha Nern, Kazunori Shinomiya, Shin-ya Takemura, Eyal Gruntman, Jakob Macke, Srinivas C. Turaga

 
1-136
Representational drift without synaptic plasticity
Caroline Haimerl, Christian Machens

 
1-150
A Spectral Theory of Neural Alignment and Prediction
Abdulkadir Canatar, Jenelle Feather, Albert Wakhloo, SueYeon Chung
 
 

 
2-001
Estimating shape distances on neural representations with limited samples
Brett Larsen, Dean Pospisil, Sarah Harvey, Alex Williams

 
2-066
Neurons Tuned to Chaotic States
Chanwoo Chun, Sweta Agrawal, John Tuthill, Dmitri Chklovskii

 
2-076
Short-circuiting the Wake-Sleep algorithm to model the effects of classical psychedelics
Colin Bredenberg, Blake Richards, Guillaume Lajoie

 
2-096
Representational Geometric Measures for Correlated Neural Manifolds
Chi-Ning Chou, Luke Arend, Albert Wakhloo, SueYeon Chung

 
2-103
Adaptive coding efficiency with fast gain modulation and slow synaptic plasticity
David Lipshutz, Lyndon R. Duong, Dmitri B Chklovskii, Eero P. Simoncelli
 
 

 
3-048
Bayesian Inference of Nonlinear Neural Manifolds Made Easy
Isabel Garon, Stephen Keeley, Alex Williams

 
3-062
Representational sparsity determines representational stability in sensory cortices
Shanshan Qin, Cengiz Pehlevan

 
3-100
Context-dependent Nonlinear Classification of Neural Representations
Francesca Mignacco, Chi-Ning Chou, SueYeon Chung

 
3-101
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake Richards, Guillaume Lajoie

 
3-105
An Analytical Theory of Multi-Task Representation Learning and Disentanglement
Albert Wakhloo, Will Slatton, SueYeon Chung

 
3-147
Comparing neural representations with a metric that is sensitive to single-neuron tuning
Meenakshi Khosla, Alex Williams

 
3-167
Tuning diversity creates efficient neural representations
Sonica Saraf, J. Anthony Movshon, SueYeon Chung

 
3-170
Learning robust neural representations by straightening natural videos
Xueyan Niu, Cristina Savin, Eero P. Simoncelli

 
3-178
Extraction and recovery of spatio-temporal structure in neural alignment via diffusion models
Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu

Simons Foundation Cosyne Events