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猕猴颞下皮质中对形状维度的调谐

Tuning for shape dimensions in macaque inferior temporal cortex.

作者信息

Kayaert Greet, Biederman Irving, Op de Beeck Hans P, Vogels Rufin

机构信息

Laboratory Neuro- en Psychofysiologie, K.U. Leuven Medical School, Leuven, Belgium.

出版信息

Eur J Neurosci. 2005 Jul;22(1):212-24. doi: 10.1111/j.1460-9568.2005.04202.x.

DOI:10.1111/j.1460-9568.2005.04202.x
PMID:16029211
Abstract

It is widely assumed that distributed bell-shaped tuning (e.g. Radial Basis functions) characterizes the shape selectivity of macaque inferior temporal (IT) neurons, analogous to the orientation or spatial frequency tuning found in early visual cortex. Demonstrating such tuning properties requires testing the responses of neurons for different values along dimensions of shape. We recorded the responses of single macaque IT neurons to variations of a rectangle and a triangle along simple shape dimensions, such as taper and axis curvature. The neurons showed systematic response modulation along these dimensions, with the greatest response, on average, to the highest values on the dimensions, e.g. to the most curved shapes. Within the range of values tested, the response functions were monotonic rather than bell-shaped. Multi-dimensional scaling of the neural responses showed that these simple shape dimensions were coded orthogonally by IT neurons: the degree and direction of responses modulation (i.e. the increase or decrease of responses along a dimension) was independent for the different dimensions. Furthermore, for combinations of curvature-related and other simple shape dimensions, the joint tuning was separable, that is well predicted by the product of the tuning for each of the dimensions. The independence of dimensional tuning may provide the neural basis for the independence of psychophysical judgements of multidimensional stimuli.

摘要

人们普遍认为,分布式钟形调谐(例如径向基函数)表征了猕猴颞下(IT)神经元的形状选择性,类似于早期视觉皮层中发现的方向或空间频率调谐。要证明这种调谐特性,需要测试神经元在形状维度上不同值的响应。我们记录了单个猕猴IT神经元对矩形和三角形沿简单形状维度(如锥度和轴曲率)变化的响应。这些神经元在这些维度上表现出系统性的响应调制,平均而言,对维度上的最高值(例如最弯曲的形状)响应最大。在测试的值范围内,响应函数是单调的而非钟形的。对神经响应的多维标度分析表明,这些简单形状维度由IT神经元正交编码:响应调制的程度和方向(即沿一个维度的响应增加或减少)在不同维度上是独立的。此外,对于与曲率相关的维度和其他简单形状维度的组合,联合调谐是可分离的,即可以通过每个维度调谐的乘积很好地预测。维度调谐的独立性可能为多维刺激的心理物理学判断的独立性提供神经基础。

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