Real-Time Million-Synapse Simulation of Rat Barrel Cortex

Frontiers in Neuroscience

Thomas eSharp²  Steve B Furber²  Rasmus S Petersen² 

[1] RIKEN Brain Science Institute;The University of Manchester;

关键词: simulation;    large scale;    SpiNNaker;    real time;    barrel;   

DOI  :  10.3389/fnins.2014.00131

来源: DOAJ

【 摘 要 】

Simulations of neural circuits are bounded in scale and speed by available computing resources, and particularly by the differences in parallelism and communication patterns between the brain and high-performance computers. SpiNNaker is a computer architecture designed to address this problem by emulating the structure and function of neural tissue, using very many low-power processors and an interprocessor communication mechanism inspired by axonal arbors. Here we demonstrate that thousand-processor SpiNNaker prototypes can simulate models of the rodent barrel system comprising fifty thousand neurons and fifty million synapses. We use the PyNN library to specify models, and the intrinsic features of Python to control experimental procedures and analysis. The models reproduce known thalamocortical response transformations, exhibit known, balanced dynamics of excitation and inhibition, and show a spatiotemporal spread of activity though the superficial cortical layers. These demonstrations are a significant step towards tractable simulations of entire cortical areas on the million-processor SpiNNaker machines in development.

【 授权许可】

Unknown