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Rescuing neural spike train models from bad MLE

Rescuing neural spike train models from bad MLE

23 October 2020
Diego M. Arribas
Yuan Zhao
Il Memming Park
ArXivPDFHTML

Papers citing "Rescuing neural spike train models from bad MLE"

4 / 4 papers shown
Title
Temporal Conditioning Spiking Latent Variable Models of the Neural
  Response to Natural Visual Scenes
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Gehua (Marcus) Ma
Runhao Jiang
Rui Yan
Huajin Tang
AI4TS
42
6
0
21 Jun 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
28
9
0
15 Dec 2022
Fully Spiking Variational Autoencoder
Fully Spiking Variational Autoencoder
Hiromichi Kamata
Yusuke Mukuta
Tatsuya Harada
BDL
DRL
30
41
0
26 Sep 2021
Fitting summary statistics of neural data with a differentiable spiking
  network simulator
Fitting summary statistics of neural data with a differentiable spiking network simulator
G. Bellec
Shuqi Wang
Alireza Modirshanechi
Johanni Brea
W. Gerstner
34
11
0
18 Jun 2021
1