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Discovering dynamical features of Hodgkin-Huxley-type model of
  physiological neuron using artificial neural network

Discovering dynamical features of Hodgkin-Huxley-type model of physiological neuron using artificial neural network

26 March 2022
P. V. Kuptsov
N. Stankevich
Elmira Bagautdinova
ArXiv (abs)PDFHTML

Papers citing "Discovering dynamical features of Hodgkin-Huxley-type model of physiological neuron using artificial neural network"

5 / 5 papers shown
Title
Reconstructing a dynamical system and forecasting time series by
  self-consistent deep learning
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
Zhe Wang
C. Guet
AI4TS
26
4
0
04 Aug 2021
Artificial neural network as a universal model of nonlinear dynamical
  systems
Artificial neural network as a universal model of nonlinear dynamical systems
P. V. Kuptsov
A. V. Kuptsova
N. Stankevich
21
7
0
06 Mar 2021
Machine learning prediction of critical transition and system collapse
Machine learning prediction of critical transition and system collapse
Ling-Wei Kong
Hua-wei Fan
C. Grebogi
Y. Lai
46
85
0
02 Dec 2020
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
237
4,644
0
16 Apr 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
1