Abstract:
:Neurons transmit information as action potentials or spikes. Due to the inherent randomness of the inter-spike intervals (ISIs), probabilistic models are often used for their description. Cumulative damage (CD) distributions are a family of probabilistic models that has been widely considered for describing time-related cumulative processes. This family allows us to consider certain deterministic principles for modeling ISIs from a probabilistic viewpoint and to link its parameters to values with biological interpretation. The CD family includes the Birnbaum-Saunders and inverse Gaussian distributions, which possess distinctive properties and theoretical arguments useful for ISI description. We expand the use of CD distributions to the modeling of neural spiking behavior, mainly by testing the suitability of the Birnbaum-Saunders distribution, which has not been studied in the setting of neural activity. We validate this expansion with original experimental and simulated electrophysiological data.
journal_name
Biol Cybernjournal_title
Biological cyberneticsauthors
Leiva V,Tejo M,Guiraud P,Schmachtenberg O,Orio P,Marmolejo-Ramos Fdoi
10.1007/s00422-015-0651-9subject
Has Abstractpub_date
2015-10-01 00:00:00pages
421-33issue
4-5eissn
0340-1200issn
1432-0770pii
10.1007/s00422-015-0651-9journal_volume
109pub_type
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