Demixed principal component analysis of population activity in higher
cortical areas reveals independent representation of task parameters

Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters

22 October 2014

Wieland Brendel

C. Constantinidis

Papers citing "Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters"

7 / 7 papers shown

Title
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo F. Zhou Wei Yu Wu Qichen Sun Lishuang Feng Jinzhuo Wang Hao Chen 41 1 0 02 Oct 2024
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning Bowen Zheng Ming Ma Zhongqiao Lin Tianming Yang 33 1 0 23 Jun 2024
Learnable latent embeddings for joint behavioral and neural analysis Steffen Schneider Jin Hwa Lee Mackenzie W. Mathis 16 207 0 01 Apr 2022
Testing the Tools of Systems Neuroscience on Artificial Neural Networks Grace W. Lindsay 19 4 0 14 Feb 2022
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 20 110 0 31 Oct 2018
ORGaNICs: A Theory of Working Memory in Brains and Machines D. Heeger Wayne E. Mackey 20 7 0 16 Mar 2018
LFADS - Latent Factor Analysis via Dynamical Systems David Sussillo Rafal Jozefowicz L. F. Abbott C. Pandarinath AI4CE 24 89 0 22 Aug 2016