Parallel tools for simulating the depolarization block on a neural model

Salvatore Cuomo, Pasquale De Michele, Ardelio Galletti, Giovanni Ponti

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

The prototyping and the development of computational codes for biological models, in terms of reliability, efficient and portable building blocks allow to simulate real cerebral behaviours and to validate theories and experiments. A critical issue is the tuning of a model by means of several numerical simulations with the aim to reproduce real scenarios. This requires a huge amount of computational resources to assess the impact of parameters that influence the neuronal response. In this paper, we describe how parallel tools are adopted to simulate the socalled depolarization block of a CA1 pyramidal cell of hippocampus. Here, the high performance computing techniques are adopted in order to achieve a more efficient model simulation. Finally, we analyse the performance of this neural model, investigating the scalability and benefits on multi-core and on parallel and distributed architectures.
Original languageEnglish
DOIs
Publication statusPublished - 2015
EventInternational Conference on Computational Science, ICCS 2002 - , Netherlands
Duration: 1 Jan 2015 → …

Conference

ConferenceInternational Conference on Computational Science, ICCS 2002
CountryNetherlands
Period1/1/15 → …

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Cuomo, S., De Michele, P., Galletti, A., & Ponti, G. (2015). Parallel tools for simulating the depolarization block on a neural model. Paper presented at International Conference on Computational Science, ICCS 2002, Netherlands. https://doi.org/10.1016/j.procs.2015.05.194