Balancing excitation and inhibition of spike neuron using deep Q network (DQN)

• Main Authors: Tan, Szi Hui, Ishak, Mohamad Khairi, Packeer Mohamed, Mohamed Fauzi, Mohd Fadzil, Lokman, Ahmad Afif, Ahmarofi
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2021
• Subjects: QA76 Computer software; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/31934/1/Balancing%20excitation%20and%20inhibition%20of%20spike%20neuron.pdf; http://umpir.ump.edu.my/id/eprint/31934/; https://doi.org/10.1088/1742-6596/1755/1/012004
• Institution: Universiti Malaysia Pahang

Deep reinforcement learning which involved reinforcement learning with artificial neural networks allows an agent to take the best possible actions in a virtual environment to achieve goals. Spike neuron has a non-differentiable spike generation function that caused SNN training faced difficulty. In...