Work

Efficient Simulation of Biological Neural Networks on Massively Parallel Supercomputers with Hypercube Architecture

Year: 1993

Type: book-chapter

Abstract: We present a neural network simulation which we implemented \non the massively parallel Connection Machine 2. In contrast to previous work, this simulator is based on biologically realistic neurons with nontrivial single-cell dynamics, high connectivity with a structure modelled in agreement with biological data, and preservation \nof the temporal dynamics of spike interactions. We simulate \nneural networks of 16,384 neurons coupled by about 1000 synapses per neuron, and estimate the performance for much larger systems. Communication between neurons is identified as the computationally most demanding task and we present a novel method to overcome this bottleneck. The simulator has already been used to study the primary visual system of the cat.

Source: CaltechAUTHORS (California Institute of Technology)

Authors: Ernst Niebur, Dean W. Brettle

Institution: California Institute of Technology

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Office of Naval Research, Los Alamos National Laboratory

OpenAlex ID: W2168378381

FWCI: 3.593

Cites: 7

Cited by: 15

Related to: 10