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二维神经场中用于驱动目标选择的短程墨西哥帽连接的局限性:活动抑制和与输入刺激的偏差

Limitations of short range Mexican hat connection for driving target selection in a 2D neural field: activity suppression and deviation from input stimuli.

作者信息

Mégardon Geoffrey, Tandonnet Christophe, Sumner Petroc, Guillaume Alain

机构信息

School of Psychology, Cardiff University Cardiff, UK ; Laboratoire de Neurobiologie de la Cognition, UMR 6155, Centre National de la Recherche Scientifique, Aix-Marseille Université Marseille, France.

Faculté de Psychologie et des Sciences de l'Education, Université de Genève Genève, Switzerland ; Laboratoire de Psychologie Cognitive, UMR 7290, Centre National de la Recherche Scientifique, Aix-Marseille Université Marseille, France.

出版信息

Front Comput Neurosci. 2015 Oct 20;9:128. doi: 10.3389/fncom.2015.00128. eCollection 2015.

Abstract

Dynamic Neural Field models (DNF) often use a kernel of connection with short range excitation and long range inhibition. This organization has been suggested as a model for brain structures or for artificial systems involved in winner-take-all processes such as saliency localization, perceptual decision or target/action selection. A good example of such a DNF is the superior colliculus (SC), a key structure for eye movements. Recent results suggest that the superficial layers of the SC (SCs) exhibit relatively short range inhibition with a longer time constant than excitation. The aim of the present study was to further examine the properties of a DNF with such an inhibition pattern in the context of target selection. First we tested the effects of stimulus size and shape on when and where self-maintained clusters of firing neurons appeared, using three variants of the model. In each model variant, small stimuli led to rapid formation of a spiking cluster, a range of medium sizes led to the suppression of any activity on the network and hence to no target selection, while larger sizes led to delayed selection of multiple loci. Second, we tested the model with two stimuli separated by a varying distance. Again single, none, or multiple spiking clusters could occur, depending on distance and relative stimulus strength. For short distances, activity attracted toward the strongest stimulus, reminiscent of well-known behavioral data for saccadic eye movements, while for larger distances repulsion away from the second stimulus occurred. All these properties predicted by the model suggest that the SCs, or any other neural structure thought to implement a short range MH, is an imperfect winner-take-all system. Although, those properties call for systematic testing, the discussion gathers neurophysiological and behavioral data suggesting that such properties are indeed present in target selection for saccadic eye movements.

摘要

动态神经场模型(DNF)通常使用具有短程兴奋和长程抑制的连接核。这种组织方式被认为是大脑结构或参与胜者全得过程(如显著性定位、感知决策或目标/动作选择)的人工系统的一种模型。这种DNF的一个很好的例子是上丘(SC),它是眼球运动的关键结构。最近的研究结果表明,SC的浅层(SCs)表现出相对较短程的抑制,其时间常数比兴奋的时间常数更长。本研究的目的是在目标选择的背景下进一步研究具有这种抑制模式的DNF的特性。首先,我们使用该模型的三个变体测试了刺激大小和形状对自维持的放电神经元簇出现的时间和位置的影响。在每个模型变体中,小刺激会导致快速形成一个尖峰簇,一系列中等大小的刺激会导致网络上任何活动的抑制,从而不进行目标选择,而较大的刺激会导致多个位点的延迟选择。其次,我们用两个相隔不同距离的刺激对该模型进行了测试。同样,根据距离和相对刺激强度,可能会出现单个、无或多个尖峰簇。对于短距离,活动会被吸引到最强的刺激源,这让人想起众所周知的扫视眼动行为数据,而对于较大的距离,则会出现远离第二个刺激源的排斥现象。该模型预测的所有这些特性表明,SCs或任何其他被认为实现短程MH的神经结构是一个不完美的胜者全得系统。尽管这些特性需要进行系统测试,但讨论收集了神经生理学和行为学数据,表明这些特性确实存在于扫视眼动的目标选择中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e469/4611141/331dd6ef984d/fncom-09-00128-g0001.jpg

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