A Functional Role for Neural Columns: Resolving F2 Transition Variability in Stop Place Categorization

IF 0.6 0 LANGUAGE & LINGUISTICS Biolinguistics Pub Date : 2016-08-28 DOI:10.5964/bioling.9049
H. Sussman
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引用次数: 0

Abstract

Documented examples from neuroethology have revealed species-specific neural encoding mechanisms capable of mapping highly variable, but lawful, visual and auditory inputs within neural columns. By virtue of the entire column being the functional unit of both representation and processing, signal variation is collectively ‘absorbed’, and hence normalized, to help form natural categories possessing an underlying physically-based commonality. Stimulus-specific ‘tolerance ranges’ define the limits of signal variation, effectively shaping the functionality of the columnar-based processing. A conceptualization for an analogous human model utilizing this evolutionarily conserved neural encoding strategy for signal variability absorption is described for the non-invariance issue in stop place perception.
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神经柱的功能作用:解决停车地点分类中的F2转换变异性
来自神经行为学的记录例子揭示了物种特异性的神经编码机制,能够在神经柱中映射高度可变但合法的视觉和听觉输入。由于整个列是表示和处理的功能单位,信号变化被集体“吸收”,因此被规范化,以帮助形成具有潜在物理基础共性的自然类别。刺激特定的“容忍范围”定义了信号变化的极限,有效地塑造了基于柱状处理的功能。利用这种进化保守的神经编码策略对信号可变性吸收的类似人体模型进行了概念化,描述了停车位置感知中的非不变性问题。
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来源期刊
Biolinguistics
Biolinguistics LANGUAGE & LINGUISTICS-
CiteScore
1.50
自引率
0.00%
发文量
5
审稿时长
12 weeks
期刊最新文献
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