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Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics
  Organized by Astrocyte-modulated Plasticity

Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity

26 October 2021
Vladimir A. Ivanov
Konstantinos Michmizos
ArXivPDFHTML

Papers citing "Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity"

12 / 12 papers shown
Title
Characterizing Learning in Spiking Neural Networks with Astrocyte-Like Units
Christopher S. Yang
Sylvester J. Gates III
Dulara De Zoysa
Jaehoon Choe
Wolfgang Losert
Corey B. Hart
43
0
0
09 Mar 2025
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
Anmol Biswas
Sharvari Ashok Medhe
Raghav Singhal
U. Ganguly
63
0
0
18 Nov 2024
Neuromorphic on-chip reservoir computing with spiking neural network
  architectures
Neuromorphic on-chip reservoir computing with spiking neural network architectures
Samip Karki
Diego Chavez Arana
Andrew T. Sornborger
Francesco Caravelli
16
1
0
30 Jul 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
36
2
0
08 Jul 2024
Towards Biologically Plausible Computing: A Comprehensive Comparison
Towards Biologically Plausible Computing: A Comprehensive Comparison
Changze Lv
Yufei Gu
Zhengkang Guo
Zhibo Xu
Yixin Wu
...
Tianlong Li
Jianhao Zhu
Cenyuan Zhang
Zixuan Ling
Xiaoqing Zheng
28
1
0
23 Jun 2024
Expanding memory in recurrent spiking networks
Expanding memory in recurrent spiking networks
Ismael Balafrej
Fabien Alibart
Jean Rouat
25
0
0
29 Oct 2023
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking
  Neural Networks
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks
Wenxuan Pan
Feifei Zhao
Bing Han
Yi Zeng
23
4
0
21 Apr 2023
Adaptive structure evolution and biologically plausible synaptic
  plasticity for recurrent spiking neural networks
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks
Wenxuan Pan
Feifei Zhao
Yi Zeng
Bing Han
21
4
0
31 Mar 2023
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal
  Classification
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
Biswadeep Chakraborty
Saibal Mukhopadhyay
21
20
0
22 Sep 2022
A temporally and spatially local spike-based backpropagation algorithm
  to enable training in hardware
A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware
Anmol Biswas
V. Saraswat
U. Ganguly
AAML
11
1
0
20 Jul 2022
Learning to learn online with neuromodulated synaptic plasticity in
  spiking neural networks
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
Samuel Schmidgall
Joe Hays
30
3
0
25 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal
  credit assignment rules
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Yuhan Helena Liu
Arna Ghosh
Blake A. Richards
E. Shea-Brown
Guillaume Lajoie
21
9
0
02 Jun 2022
1