CELL SUICIDE IN THE DEVELOPING NERVOUS-SYSTEM - A FUNCTIONAL NEURAL-NETWORK MODEL

G D A Brown; C Hulme; P D Hyland; I J Mitchell

CELL SUICIDE IN THE DEVELOPING NERVOUS-SYSTEM - A FUNCTIONAL NEURAL-NETWORK MODEL

G D A Brown, C Hulme, P D Hyland, I J Mitchell

Psychology

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

A computational model of programmed cell death (PCD) in the nervous system is described. A neurobiologically realisable method for identifying and removing the least useful cells from a network is developed, and it is shown by simulation that an artificial neural network can solve difficult problems efficiently if it is given more neurons initially than it needs subsequently. The least useful neurons die off gradually after learning is complete, and the learned solution can then be maintained with a smaller number of units than were needed for initial learning. The research suggests a functional role for PCD, and how self-limiting PCD could be achieved in real neural systems.

Original language	English
Pages (from-to)	71-75
Number of pages	5
Journal	Cognitive brain research
Volume	2
Issue number	1
Publication status	Published - Jul 1994

Keywords

CELL DEATH
NERVOUS SYSTEM
NEURAL NETWORK
COMPUTATIONAL MODEL
LEARNING
DEVELOPMENT
APOPTOSIS
DEATH
BCL-2
PROTOONCOGENE
SURVIVAL
EXPRESSION
PREVENTION
NEURONS
PROTEIN
NGF

Cite this

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title = "CELL SUICIDE IN THE DEVELOPING NERVOUS-SYSTEM - A FUNCTIONAL NEURAL-NETWORK MODEL",

abstract = "A computational model of programmed cell death (PCD) in the nervous system is described. A neurobiologically realisable method for identifying and removing the least useful cells from a network is developed, and it is shown by simulation that an artificial neural network can solve difficult problems efficiently if it is given more neurons initially than it needs subsequently. The least useful neurons die off gradually after learning is complete, and the learned solution can then be maintained with a smaller number of units than were needed for initial learning. The research suggests a functional role for PCD, and how self-limiting PCD could be achieved in real neural systems.",

keywords = "CELL DEATH, NERVOUS SYSTEM, NEURAL NETWORK, COMPUTATIONAL MODEL, LEARNING, DEVELOPMENT, APOPTOSIS, DEATH, BCL-2, PROTOONCOGENE, SURVIVAL, EXPRESSION, PREVENTION, NEURONS, PROTEIN, NGF",

author = "Brown, {G D A} and C Hulme and Hyland, {P D} and Mitchell, {I J}",

year = "1994",

month = jul,

language = "English",

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pages = "71--75",

journal = "Cognitive brain research",

issn = "0926-6410",

publisher = "Elsevier",

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TY - JOUR

T1 - CELL SUICIDE IN THE DEVELOPING NERVOUS-SYSTEM - A FUNCTIONAL NEURAL-NETWORK MODEL

AU - Brown, G D A

AU - Hulme, C

AU - Hyland, P D

AU - Mitchell, I J

PY - 1994/7

Y1 - 1994/7

N2 - A computational model of programmed cell death (PCD) in the nervous system is described. A neurobiologically realisable method for identifying and removing the least useful cells from a network is developed, and it is shown by simulation that an artificial neural network can solve difficult problems efficiently if it is given more neurons initially than it needs subsequently. The least useful neurons die off gradually after learning is complete, and the learned solution can then be maintained with a smaller number of units than were needed for initial learning. The research suggests a functional role for PCD, and how self-limiting PCD could be achieved in real neural systems.

AB - A computational model of programmed cell death (PCD) in the nervous system is described. A neurobiologically realisable method for identifying and removing the least useful cells from a network is developed, and it is shown by simulation that an artificial neural network can solve difficult problems efficiently if it is given more neurons initially than it needs subsequently. The least useful neurons die off gradually after learning is complete, and the learned solution can then be maintained with a smaller number of units than were needed for initial learning. The research suggests a functional role for PCD, and how self-limiting PCD could be achieved in real neural systems.

KW - CELL DEATH

KW - NERVOUS SYSTEM

KW - NEURAL NETWORK

KW - COMPUTATIONAL MODEL

KW - LEARNING

KW - DEVELOPMENT

KW - APOPTOSIS

KW - DEATH

KW - BCL-2

KW - PROTOONCOGENE

KW - SURVIVAL

KW - EXPRESSION

KW - PREVENTION

KW - NEURONS

KW - PROTEIN

KW - NGF

M3 - Comment/debate

SN - 0926-6410

VL - 2

SP - 71

EP - 75

JO - Cognitive brain research

JF - Cognitive brain research

IS - 1

ER -