LALI, M Selim-Antoine (2024) Spiking Recurrent Neural Network with Feedback Control PRE - Research Project, ENSTA.

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Abstract

The primary objective of this project was to explore the implementation of SRNNs incorporating feedback control mechanisms. Specifically, I investigated how biologically realistic feedback control, through gain and shift modulation, can enhance the performance of SRNNs in generating target outputs.

Item Type:Thesis (PRE - Research Project)
Uncontrolled Keywords:Spiking Recurrent Neural Networks, Neural Circuit Dynamics, Feedback Control, Gain Modulation, Hebbian Learning, Synaptic Plasticity, Leaky Integrate-and-Fire Model, Surrogate Gradient, Computational Neuroscience, Python programming language
Subjects:Mathematics and Applications
ID Code:10158
Deposited By:Selim-antoine LALI
Deposited On:27 août 2024 18:11
Dernière modification:02 sept. 2024 16:19

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