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Understanding Neural Coding on Latent Manifolds by Sharing Features and
  Dividing Ensembles

Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles

6 October 2022
Martin Bjerke
Lukas Schott
Kristopher T. Jensen
Claudia Battistin
David A. Klindt
Benjamin A. Dunn
ArXivPDFHTML

Papers citing "Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles"

3 / 3 papers shown
Title
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
Finn Schmidt
Suhas Shrinivasan
Polina Turishcheva
Fabian H. Sinz
37
0
0
21 Oct 2024
A mathematical framework of intelligence and consciousness based on
  Riemannian Geometry
A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Meng Lu
AI4CE
26
0
0
02 Jul 2024
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
47
86
0
09 Sep 2021
1