Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression

Mikhail Kiselev

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression

In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 0ICINCO, 11-18, 2014 , Vienna, Austria

Author: Mikhail Kiselev

Affiliation: Chuvash State University, Russian Federation

Keyword(s): spiking neural network, dynamic threshold, short term synaptic depression, multiple adaptive regression splines

Abstract: We consider a model of leaky integrate-and-fire neuron with dynamic threshold and a very simple realization of short term synaptic depression mechanism. Model simplicity makes possible creation of very large networks on its basis. Required general properties of these networks can be obtained due to the appropriate selection of neuron parameters. Knowledge of the dependence of neuron firing frequency on presynaptic activity for various neuron parameters is crucial for this selection. Since this dependence cannot be obtained in an exact analytical form we describe the process of building its empirical approximation using the multiple adaptive regression splines algorithm. This methodology can be used for other neuron models.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.144.124.232

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Kiselev, M. (2014). Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression. In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP; ISBN 978-989-758-041-3, SciTePress, pages 11-18. DOI: 10.5220/0005119700110018

@conference{anniip14,
author={Mikhail Kiselev.},
title={Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP},
year={2014},
pages={11-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005119700110018},
isbn={978-989-758-041-3},
}

TY - CONF

JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2014) - ANNIIP
TI - Input-output Characteristics of LIF Neuron with Dynamic Threshold and Short Term Synaptic Depression
SN - 978-989-758-041-3
AU - Kiselev, M.
PY - 2014
SP - 11
EP - 18
DO - 10.5220/0005119700110018
PB - SciTePress