CaltechAUTHORS (California Institute of Technology) · 1993 · 15 citations · 6 references
Open access
ComputingHigh-performance ComputingNeuroscienceComputational NeuroscienceNeural CircuitryParallel ComputingComputational ModelingHypercube NetworksNeural ModelingNeural NetworksNeuronal DynamicsSpiking Neural NetworksNetwork SimulationNeural Network ModelingNeuron SimulationsParallel Neural SimulationSpike PropagationSpiking Neural Network ModelsSpiking Neuron ModelsTemporal Dynamics
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.
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