Learning a Policy for Pursuit-Evasion Games Using Spiking Neural Networks and the STDP Algorithm-Reference-Cited by-同舟云学术

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Learning a Policy for Pursuit-Evasion Games Using Spiking Neural Networks and the STDP Algorithm

Published:2023-10-01 Issue: Volume:10 Page:1918-1925
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
Short-container-title:

Author:

Ramezanlou Mohammad T.¹,Schwartz Howard¹,Lambadaris Ioannis¹,Barbeau Michel²,Naqvi Syed Hassan Raza¹

Affiliation:

1. Carleton University,Department of Systems and Computer Engineering,Ottawa,Canada

2. School of Computer Science, Carleton University,Ottawa,Canada

Funder

Mitacs

NSERC (Natural Sciences and Engineering Research Council)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394149.pdf?arnumber=10394149

Reference24 articles.

1. A Low-Power Spiking Neural Network Chip Based on a Compact LIF Neuron and Binary Exponential Charge Injector Synapse Circuits

2. Spiking Neural Controller for Autonomous Robot Navigation in Dynamic Environments

3. Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

4. A million spiking-neuron integrated circuit with a scalable communication network and interface

5. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

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