Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum.

ABSTRACT: This work presents the first simulation of a large-scale, bio-physically constrained cerebellum model performed on neuromorphic hardware. A model containing 97,000 neurons and 4.2 million synapses is simulated on the SpiNNaker neuromorphic system. Results are validated against a baseline simulation of the same model executed with NEST, a popular spiking neural network simulator using generic computational resources and double precision floating point arithmetic. Individual cell and network-level spiking activity is validated in terms of average spike rates, relative lead or lag of spike times, and membrane potential dynamics of individual neurons, and SpiNNaker is shown to produce results in agreement with NEST. Once validated, the model is used to investigate how to accelerate the simulat

SUBMITTER: Bogdan PA 

PROVIDER: S-EPMC8202688 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature