Thanks to recent improvements in the neurotechnology, parallel recordings with an ever-increasing number of micro-transducers are now available to monitor the neuronal spiking activity CP of large-scale neuronal networks. At the same time, continuous improvements are required to develop computationally efficient software for processing and analyzing such huge amounts of data. In this work, we present a new tool named SPICODYN, as a possible solution to efficiently process and analyze big-data coming from in vitro multi-site recordings. By adopting the standardized HDF5 raw input data format it offers independency from the specific acquisition setup. SPICODYN allows performing pre-processing operations (spike detection), full dynamics and functional-effective connectivity CP analysis on the generated spike trains, and topological characterization related to the estimated connectivity CP.

A toolbox for dynamic and connectivity CP analysis of neuronal spike trains data

Pastore, Vito Paolo;Godjoski, Aleksandar;Martinoia, Sergio;Massobrio, Paolo
2017

Abstract

Thanks to recent improvements in the neurotechnology, parallel recordings with an ever-increasing number of micro-transducers are now available to monitor the neuronal spiking activity CP of large-scale neuronal networks. At the same time, continuous improvements are required to develop computationally efficient software for processing and analyzing such huge amounts of data. In this work, we present a new tool named SPICODYN, as a possible solution to efficiently process and analyze big-data coming from in vitro multi-site recordings. By adopting the standardized HDF5 raw input data format it offers independency from the specific acquisition setup. SPICODYN allows performing pre-processing operations (spike detection), full dynamics and functional-effective connectivity CP analysis on the generated spike trains, and topological characterization related to the estimated connectivity CP.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/884212
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact