Simulation of Sparse Neural Networks on a CNAPS SIMD Neurocomputer
نویسنده
چکیده
Neuroanatomical aspects of the mammalian cerebral cortex can be modeled by neural networks with a sparse and random connection scheme. This paper presents such sparse network models and appropriate algorithms, data structures and optimization for an efficient parallel simulation on a CNAPS SIMD neurocomputer. Using these methods a considerable speedup in comparison to sequential computation is achieved.
منابع مشابه
Simulation of Sparse Random Networks on a Cnaps Simd Neurocomputer
Neurons of the cortical tissue in a mammalian brain are connected in an extremely sparse and random fashion. We use ndings of neuroanatomy to model this special connection scheme and present methods for a parallel simulation of such networks on a digital CNAPS neurocomputer. A considerable speedup in comparison to sequential computation is achieved.
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