Accession Number:

AD1007639

Title:

Nonlinear Maps for Design of Discrete-Time Models of Neuronal Network Dynamics

Descriptive Note:

Technical Report,01 Mar 2016,31 Mar 2016

Corporate Author:

University of California, San Diego, BioCircuits Institute La Jolla, United States

Personal Author(s):

Report Date:

2016-03-31

Pagination or Media Count:

5.0

Abstract:

A new promising way to significantly improve computational efficiency of neurobiological network simulations is to design a neuronal model in the form of difference equations that generates neuronal states in discrete moments of time. In this approach, time step can be made comparable with the duration of action potential a spike and capture correctly dynamics of the intrinsic and input-responsive tiring patterns. We propose to use modern DSP ideas to develop new efficient approaches to the design of such discrete-time models for studies of large-scale neuronal network activity.

Descriptors:

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE