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首页> 外文期刊>The European Journal of Neuroscience >Decision-making and Weber's law: a neurophysiological model.
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Decision-making and Weber's law: a neurophysiological model.

机译：决策和韦伯定律：神经生理学模型。

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摘要

We describe an integrate-and-fire attractor model of the decision-related activity of ventral premotor cortex (VPC) neurons during a vibrotactile frequency comparison task [Romo et al. (2004)Neuron, 41, 165-173]. Populations of neurons for each decision in a biased competition attractor network receive a bias input that depends on the firing rates of VPC neurons that code for the two vibrotactile frequencies. The firing rate of the neurons in whichever attractor wins, reflects the sign of the difference in the frequencies (Deltaf) being compared but not the absolute frequencies. However, the transition from the initial spontaneous firing state to one of the two possible attractor states depends probabilistically on the difference of the vibrotactile frequencies scaled by the base frequency. This is due to finite size noise effects related to the spiking activity in the network, and the divisive feedback inhibition implemented through inhibitory interneurons. Thus the neurophysiological basis for a psychophysical effect, Weber's Law, can be related to statistical fluctuations and divisive inhibition in an attractor decision-making network.
机译：我们描述了在触觉频率比较任务过程中腹侧前运动皮层（VPC）神经元的决策相关活动的集成和引火吸引器模型[Romo等。 （2004）Neuron，41，165-173]。在有偏竞争吸引子网络中，每个决定的神经元群体都会收到一个偏倚输入，该输入取决于编码两个触觉频率的VPC神经元的放电速率。无论哪个吸引子获胜，神经元的放电速率都反映了所比较的频率差异（Deltaf）的征兆，而不是绝对频率。但是，从初始自发激发态到两个可能的吸引子态之一的过渡概率取决于以基频定标的触觉频率的差异。这是由于与网络中的尖峰活动相关的有限大小的噪声效应，以及通过抑制性中间神经元实现的分裂反馈抑制。因此，心理物理效应的神经生理基础，韦伯定律，可能与吸引子决策网络中的统计波动和分裂抑制有关。

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