Dual coding and effects of global feedback in multilayered neural networks

Naoki Masuda; Kazuyuki Aihara

doi:10.1016/j.neucom.2004.01.019

Dual coding and effects of global feedback in multilayered neural networks

Naoki Masuda
, Kazuyuki Aihara

Mathematics

The University of Tokyo

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The synchronous firing code mode and the population rate code mode can alternatively appear in a single neural network to be dually used depending upon situations. In this paper, we examine by using multi-layered feedforward networks how the preferred coding mode switches as signals pass through layers. It is also shown that global feedback synchronizes neurons in the upstream layers.

Original language	English
Pages (from-to)	33-39
Number of pages	7
Journal	Neurocomputing
Volume	58-60
DOIs	https://doi.org/10.1016/j.neucom.2004.01.019
State	Published - Jun 2004

Keywords

Feedback
Integrate-and-fire neurons
Rate coding
Synchrony

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10.1016/j.neucom.2004.01.019

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title = "Dual coding and effects of global feedback in multilayered neural networks",

abstract = "The synchronous firing code mode and the population rate code mode can alternatively appear in a single neural network to be dually used depending upon situations. In this paper, we examine by using multi-layered feedforward networks how the preferred coding mode switches as signals pass through layers. It is also shown that global feedback synchronizes neurons in the upstream layers.",

keywords = "Feedback, Integrate-and-fire neurons, Rate coding, Synchrony",

author = "Naoki Masuda and Kazuyuki Aihara",

year = "2004",

month = jun,

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language = "English",

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T1 - Dual coding and effects of global feedback in multilayered neural networks

AU - Masuda, Naoki

AU - Aihara, Kazuyuki

PY - 2004/6

Y1 - 2004/6

N2 - The synchronous firing code mode and the population rate code mode can alternatively appear in a single neural network to be dually used depending upon situations. In this paper, we examine by using multi-layered feedforward networks how the preferred coding mode switches as signals pass through layers. It is also shown that global feedback synchronizes neurons in the upstream layers.

AB - The synchronous firing code mode and the population rate code mode can alternatively appear in a single neural network to be dually used depending upon situations. In this paper, we examine by using multi-layered feedforward networks how the preferred coding mode switches as signals pass through layers. It is also shown that global feedback synchronizes neurons in the upstream layers.

KW - Feedback

KW - Integrate-and-fire neurons

KW - Rate coding

KW - Synchrony

UR - https://www.scopus.com/pages/publications/2542435120

U2 - 10.1016/j.neucom.2004.01.019

DO - 10.1016/j.neucom.2004.01.019

M3 - Article

AN - SCOPUS:2542435120

SN - 0925-2312

VL - 58-60

SP - 33

EP - 39

JO - Neurocomputing

JF - Neurocomputing

ER -

Dual coding and effects of global feedback in multilayered neural networks

Abstract

Keywords

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