Title
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization
Abstract
The problem of an equivalence between conductance- and current-driven neurons in terms of mean stationary output rates is investigated. We show that it is possible to study a network of conductance-driven neurons by means of a mean field analysis of an equivalent network of current-driven neurons. The current drive is Gauss distributed and not voltage dependent. The equivalent network is composed by the same neurons and exhibits the same stable firing rates at the only price of having different connectivity. In addition, the differences in the subthreshold depolarization and the interspike-interval distribution can be studied at parity of output rates, providing a method to study those effects of the conductance drive which do not arise in a network of current-driven neurons.
Year
DOI
Venue
2004
10.1016/j.neucom.2004.01.052
Neurocomputing
Keywords
Field
DocType
Conductance drive,Current drive,Integrate-and-fire neurons,Mean field,Coefficient of variability
Gauss,Control theory,Equivalence (measure theory),Subthreshold conduction,Depolarization,Artificial intelligence,Statistical physics,Pattern recognition,Voltage,Mean field theory,Conductance,Parity (mathematics),Mathematics
Journal
Volume
ISSN
Citations 
58
0925-2312
5
PageRank 
References 
Authors
0.76
1
3
Name
Order
Citations
PageRank
Giancarlo La Camera1385.05
Walter Senn231627.52
Stefano Fusi366990.97