Selective attention model with spiking elements

Selective attention model with spiking elements
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DOI:
10.1016/j.neunet.2009.02.002
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发表时间:
2009-09-01
期刊:
影响因子:
7.8
通讯作者:
Kazanovich, Yakov
Kazanovich, Yakov
中科院分区:
计算机科学1区
文献类型:
--
作者:
Chik, David;Borisyuk, Roman;Kazanovich, Yakov

文献摘要

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基于突触耦合的Hodgkin-Huxley神经元,提出了一种新的视觉选择性注意的生物学模型。该模型是根据兴奋性和抑制性连接的两层结构设计的,该结构包括两个中枢神经元和一群外周神经元。来自中枢神经元的两种类型的抑制存在:负责注意焦点的形成的固定抑制和负责注意转移的短期可塑性抑制。研究了与注意焦点发展相关的同步动力学机制。特别是,中央和外周神经元的尖峰活动之间的部分同步的制度被解释为对象选择的注意力的焦点。结果表明,具有较高的放电率的外周神经元优先选择的注意系统。该模型正确地再现了注意力控制机制的一些观察结果,如注意力集中的神经元群体中尖峰的一致性,以及注意力集中之外的神经元的抑制。顺序选择的刺激,同时存在于视觉场景中的演示模型在频域中的一个正式的例子和一个真实的图像。(C)2009爱思唯尔有限公司保留所有权利。
A new biologically plausible model of visual selective attention is developed based on synaptically coupled Hodgkin-Huxley neurons. The model is designed according to a two-layer architecture of excitatory and inhibitory connections which comprises two central neurons and a population of peripheral neurons. Two types of inhibition from the central neurons are present: fixed inhibition which is responsible for the formation of the attention focus, and short-term plastic inhibition which is responsible for the shift of attention. The regimes of synchronous dynamics associated with the development of the attentional focus are studied. In particular, the regime of partial synchronization between spiking activity of the central and peripheral neurons is interpreted as object selection to the focus of attention. It is shown that peripheral neurons with higher firing rates are selected preferentially by the attention system. The model correctly reproduces some observations concerning the mechanisms of attentional control, such as the coherence of spikes in the population of neurons included in the focus of attention, and the inhibition of neurons outside the focus of attention. Sequential selection of stimuli simultaneously present in the visual scene is demonstrated by the model in the frequency domain in both a formal example and a real image. (C) 2009 Elsevier Ltd. All rights reserved.