Summary
International Workshop on Smart Info-Media Systems in Asia
2022
Session Number:SS2
Session:
Number:SS2-6
Controlled Synchronization-Desynchronization PCPO in Nengo Implementation via feedback connections
Dinda Pramanta, Hakaru Tamukoh,
pp.91-95
Publication Date:2022/9/15
Online ISSN:2188-5079
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Summary:
Recent neuroscience shows remarkably from simulating low-level biological parts in prominent detail, to solving high-level problems that humans find difficult. Motivated by Pulse-coupled phase oscillators (PCPO) working as a Reservoir were successfully implemented on Field-Programmable Gate Arrays (FPGA), the challenge of a large-scale brain model for general-hardware implementation it's still unresolved. Nengo is easy-neuromorphic modeling to build neural networks with demonstrable abilities and flexibility. Toward the outcome of FPGA implementations, we propose the controlled PCPO through the Nengo compiler Python package. As the first step to this approach, we study the effect number of neurons population from the Nengo to the pair-connected oscillators via feedback connection. We found that a neurons population of less than 100 leads to no sign of fixed-threshold time for reaching the steady-state condition. However, the synchronization-desynchronization occurred in 4,000, 8,000, and 10,000 neurons population. We have verified that simple PCPO works and is implemented in the Nengo.