Single Neuron Rational Model of Arithmetic and Logic Operations
作者:
CHANG N ZHANG,
期刊:
Connection Science
(Taylor Available online 1999)
卷期:
Volume 11,
issue 1
页码: 73-90
ISSN:0954-0091
年代: 1999
DOI:10.1080/095400999116368
出版商: Taylor & Francis Group
关键词: Single Neuron;Computation Model;Rational Function;Arithmetic And Logic Operations;Input And Output Range
数据来源: Taylor
摘要:
This paper will focus on a phase analysis to explore the potential of single neuron local arithmetic and logic operations on their input conductances. The analysis is based on a rational function model of local spatial summation with the equivalent circuits for steadystate membrane potentials. The prototypes of arithmetic and logic operations are then constructed with their input and output range by analyzing the conditions for performing these operations. A mapping from a partition of input conductance space into functionally distinct phases is depicted, and the multiple mode models for arithmetic and logic are then established. This indicates that the single neuron local rational arithmetic and logic is programmable, and the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability makes the single neuron more free to process the input information.
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