论文标题
皮质电路中的空间分布计算
Spatially distributed computation in cortical circuits
论文作者
论文摘要
大脑皮层中神经计算的传统观点认为，感觉神经元是专门的，即选择性的感觉刺激的某些维度。这种观点是由刺激维度之间上下文相互作用的证据所挑战的，刺激维度之间的神经元对一个维度的反应在很大程度上取决于其他维度。在这里，我们使用数学建模，心理物理学和电生理学方法来解决传统观点的缺点。使用通用皮质电路的模型，我们首先要简单地证明皮质反应总是分布在神经元之间，形成特征波形，我们称之为神经波。当通过图案化刺激刺激时，电路响应会因神经波的干扰而产生。产生的干扰模式取决于刺激维度之间的相互作用。这些建模的反应与生物视觉的响应的比较清楚地表明，神经波干扰的框架为神经计算的标准概念提供了有用的替代方法。
The traditional view of neural computation in the cerebral cortex holds that sensory neurons are specialized, i.e., selective for certain dimensions of sensory stimuli. This view was challenged by evidence of contextual interactions between stimulus dimensions in which a neuron's response to one dimension strongly depends on other dimensions. Here we use methods of mathematical modeling, psychophysics, and electrophysiology to address shortcomings of the traditional view. Using a model of a generic cortical circuit, we begin with the simple demonstration that cortical responses are always distributed among neurons, forming characteristic waveforms, which we call neural waves. When stimulated by patterned stimuli, circuit responses arise by interference of neural waves. Resulting patterns of interference depend on interaction between stimulus dimensions. Comparison of these modeled responses with responses of biological vision makes it clear that the framework of neural wave interference provides a useful alternative to the standard concept of neural computation.
