Together, the two hemispheres of the mouse cortex contain, roughly, 16 X 106 neurons, and 8,000 synapses per neuron [1]. Modeling and simulation at this scale (and beyond) is an emerging area of scientific exploration that will likely lead to a host of new computational and neuro-scientific insights. To facilitate near real-time study of network dynamics, we have recently developed a massively parallel cortical simulator simulator [2] that incorporates relatively simpler phenomenological models of spiking neurons [3], spiketiming dependent plasticity [4], and axonal conductance delays. In this paper, we explore the challenges involved in scaling, stabilizing, and synchronizing such large-scale models.
By: Rajagopal Ananthanarayanan; Dharmendra S. Modha
Published in: RJ10405 in 2007
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