Abstract:
:Neuronal responses are often characterized by the firing rate as a function of the stimulus mean, or the f-I curve. We introduce a novel classification of neurons into Types A, B-, and B+ according to how f-I curves are modulated by input fluctuations. In Type A neurons, the f-I curves display little sensitivity to input fluctuations when the mean current is large. In contrast, Type B neurons display sensitivity to fluctuations throughout the entire range of input means. Type B- neurons do not fire repetitively for any constant input, whereas Type B+ neurons do. We show that Type B+ behavior results from a separation of time scales between a slow and fast variable. A voltage-dependent time constant for the recovery variable can facilitate sensitivity to input fluctuations. Type B+ firing rates can be approximated using a simple "energy barrier" model.
journal_name
J Comput Neuroscijournal_title
Journal of computational neuroscienceauthors
Lundstrom BN,Famulare M,Sorensen LB,Spain WJ,Fairhall ALdoi
10.1007/s10827-009-0142-xsubject
Has Abstractpub_date
2009-10-01 00:00:00pages
277-90issue
2eissn
0929-5313issn
1573-6873journal_volume
27pub_type
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