Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons

被引：0

作者：

Biancaniello, Paul ^{[1
]}

Rosenbluth, David ^{[1
]}

Szumowski, Tom ^{[1
]}

Darvill, John ^{[1
]}

Hinnerschitz, Nick ^{[1
]}

Hummel, John ^{[2
]}

Mihalas, Stefan ^{[3
]}

机构：

[1] Lockheed Martin Adv Technol Labs, Cherry Hill, NJ 08002 USA

[2] Univ Illinois, Urbana, IL 61801 USA

[3] Johns Hopkins Univ, Baltimore, MD 21218 USA

来源：

BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011 | 2011年 / 233卷

关键词：

relational reasoning; spiking neuron; simulation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Relational mapping, a cognitive sub-process of relational reasoning, plays a critical role in identifying similarities between abstract constructs. This paper discusses an initial endeavor in developing a biologically-inspired spiking neuron model that performs relational mapping in a similar functional manner to existing cognitive models founded in neuroscience. Using spiking neurons provides a capability to portray neural dynamics that naturally lead to notions of critical relational mapping sub-functions such as binding by synchrony. The model, although still in progress, is a step in the direction of progressing cognitive concepts down to an individual spiking neuron level.

引用

页码：38 / +

页数：2

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