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Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

9 September 2021
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
H. Sohn
Joseph E. O’Doherty
K. Shenoy
Matthew T. Kaufman
M. Churchland
M. Jazayeri
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
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Papers citing "Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity"

3 / 3 papers shown
Title
BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
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
16
1
0
02 Oct 2024
Inferring stochastic low-rank recurrent neural networks from neural data
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals
A Erdem Sağtekin
Felix Pei
Manuel Gloeckler
Jakob H Macke
26
6
0
24 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents
When predict can also explain: few-shot prediction to select better neural latents
Kabir Dabholkar
Omri Barak
BDL
47
0
0
23 May 2024
1