Automatically assigned DDC number: 612825

Manually assigned DDC number: 00632

Number of references: 8

Title: Decoding Neuronal Firing And Modeling Neural Networks

Author:

Subject: L. F. Abbott Decoding Neuronal Firing And Modeling Neural Networks

Description: Introduction Biological neural networks are large systems of complex elements interacting through a complex array of connections. Individual neurons express a large number of active conductances (Connors et al., 1982; Adams & Gavin, 1986; Llin'as, 1988; McCormick, 1990; Hille, 1992) and exhibit a wide variety of dynamic behaviors on time scales ranging from milliseconds to many minutes (Llin'as, 1988; Harris-Warrick & Marder, 1991; Churchland & Sejnowski, 1992; Turrigiano et al., 1994). Neurons in cortical circuits are typically coupled to thousands of other neurons (Stevens, 1989) and very little is known about the strengths of these synapses (although see Rosenmund et al., 1993; Hessler et al., 1993; Smetters & Nelson, 1993). The complex firing patterns of large neuronal populations are difficult to describe let alone understand. There is little point in accurately modeling each membrane potential in a large neural

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-08-07

Pubyear: 1994

Format: ps

Identifier: http://citeseer.ist.psu.edu/165103.html

Source: http://play.ccs.brandeis.edu/abbott/papers/bpr.ps.gz

Language: en

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