Neural population geometry: An approach for understanding biological and artificial neural networks

14 April 2021

Papers citing "Neural population geometry: An approach for understanding biological and artificial neural networks"

13 / 13 papers shown

Title
Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow Nahid Torbati Michael Gaebler S. M. Hofmann Nico Scherf 33 0 0 03 Jan 2025
Discriminating image representations with principal distortions Jenelle Feather David Lipshutz Sarah E. Harvey Alex H. Williams Eero P. Simoncelli 33 1 0 20 Oct 2024
A mathematical framework of intelligence and consciousness based on Riemannian Geometry Meng Lu AI4CE 34 0 0 02 Jul 2024
Nonlinear classification of neural manifolds with contextual information Francesca Mignacco Chi-Ning Chou SueYeon Chung 26 2 0 10 May 2024
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language Eghbal A. Hosseini Evelina Fedorenko LLMSV 28 4 0 05 Nov 2023
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks William F. Podlaski C. Machens 25 9 0 18 Jul 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Linear Classification of Neural Manifolds with Correlated Variability Albert J. Wakhloo Tamara J. Sussman SueYeon Chung 29 10 0 27 Nov 2022
Representational dissimilarity metric spaces for stochastic neural networks Lyndon Duong Jingyang Zhou Josue Nassar Jules Berman Jeroen Olieslagers Alex H. Williams 30 19 0 21 Nov 2022
Testing the Tools of Systems Neuroscience on Artificial Neural Networks Grace W. Lindsay 22 4 0 14 Feb 2022
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello J. Feather Hang Le Tiago Marques David D. Cox Josh H. McDermott J. DiCarlo SueYeon Chung AAML OOD 19 25 0 12 Nov 2021
A space of goals: the cognitive geometry of informationally bounded agents Karen Archer Nicola Catenacci Volpi F. Bröker Daniel Polani 14 5 0 05 Nov 2021
Probing artificial neural networks: insights from neuroscience Anna A. Ivanova John Hewitt Noga Zaslavsky 16 16 0 16 Apr 2021