critical issue in biological neural network modelling is the parameter tuning of a model by means ofthe numerical simulations to map a real scenario. This approach requires a huge amount ofcomputational resources to assesses the impact of every model value that, generally, changes thenetwork response. In this paper we analyse the performance of a CA1neural network microcircuit model for pattern recognition. Moreover, we investigate its scalability andbenefits on multicore and on parallel and distributed architectures

A Performance Evaluation of A Parallel Biological Network Microcircuit in Neuron / Cuomo, Salvatore; DE MICHELE, Pasquale; Piccialli, Francesco. - In: INTERNATIONAL JOURNAL OF DISTRIBUTED AND PARALLEL SYSTEMS. - ISSN 0976-9757. - STAMPA. - 4:1(2013), pp. 15-31.

A Performance Evaluation of A Parallel Biological Network Microcircuit in Neuron

CUOMO, SALVATORE;DE MICHELE, PASQUALE;PICCIALLI, FRANCESCO
2013

Abstract

critical issue in biological neural network modelling is the parameter tuning of a model by means ofthe numerical simulations to map a real scenario. This approach requires a huge amount ofcomputational resources to assesses the impact of every model value that, generally, changes thenetwork response. In this paper we analyse the performance of a CA1neural network microcircuit model for pattern recognition. Moreover, we investigate its scalability andbenefits on multicore and on parallel and distributed architectures
2013
A Performance Evaluation of A Parallel Biological Network Microcircuit in Neuron / Cuomo, Salvatore; DE MICHELE, Pasquale; Piccialli, Francesco. - In: INTERNATIONAL JOURNAL OF DISTRIBUTED AND PARALLEL SYSTEMS. - ISSN 0976-9757. - STAMPA. - 4:1(2013), pp. 15-31.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/542114
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