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比较猕猴MT区的加速度调谐和速度调谐:生理学与建模

Comparing acceleration and speed tuning in macaque MT: physiology and modeling.

作者信息

Price N S C, Ono S, Mustari M J, Ibbotson M R

机构信息

Visual Sciences, Building 46, Research School of Biological Sciences, Australian National University, Canberra, ACT, 2601, Australia.

出版信息

J Neurophysiol. 2005 Nov;94(5):3451-64. doi: 10.1152/jn.00564.2005. Epub 2005 Aug 3.

DOI:10.1152/jn.00564.2005
PMID:16079192
Abstract

Studies of individual neurons in area MT have traditionally investigated their sensitivity to constant speeds. We investigated acceleration sensitivity in MT neurons by comparing their responses to constant steps and linear ramps in stimulus speed. Speed ramps constituted constant accelerations and decelerations between 0 and 240 degrees /s. Our results suggest that MT neurons do not have explicit acceleration sensitivity, although speed changes affected their responses in three main ways. First, accelerations typically evoked higher responses than the corresponding deceleration rate at all rates tested. We show that this can be explained by adaptation mechanisms rather than differential processing of positive and negative speed gradients. Second, we inferred a cell's preferred speed from the responses to speed ramps by finding the stimulus speed at the latency-adjusted time when response amplitude peaked. In most cells, the preferred speeds inferred from deceleration were higher than those for accelerations of the same rate or from steps in stimulus speed. Third, neuron responses to speed ramps were not well predicted by the transient or sustained responses to steps in stimulus speed. Based on these findings, we developed a model incorporating adaptation and a neuron's speed tuning that predicted the higher inferred speeds and lower spike rates for deceleration responses compared with acceleration responses. This model did not predict acceleration-specific responses, in accordance with the lack of acceleration sensitivity in the neurons. The outputs of this single-cell model were passed to a population-vector-based model used to estimate stimulus speed and acceleration. We show that such a model can accurately estimate relative speed and acceleration using information from the population of neurons in area MT.

摘要

传统上,对视皮层MT区单个神经元的研究主要是探究它们对恒定速度的敏感性。我们通过比较MT神经元对刺激速度的恒定阶跃变化和线性斜坡变化的反应,来研究其加速度敏感性。速度斜坡变化包括0至240度/秒之间的恒定加速和减速。我们的研究结果表明,MT神经元没有明确的加速度敏感性,尽管速度变化主要通过三种方式影响它们的反应。首先,在所有测试速率下,加速度通常比相应的减速速率引发更高的反应。我们发现,这可以用适应机制来解释,而不是对正向和负向速度梯度的差异处理。其次,我们通过在潜伏期调整后的时间找到反应幅度达到峰值时的刺激速度,从对速度斜坡变化的反应中推断出细胞的偏好速度。在大多数细胞中,从减速推断出的偏好速度高于相同速率的加速或刺激速度阶跃变化时的偏好速度。第三,神经元对速度斜坡变化的反应不能很好地由对刺激速度阶跃变化的瞬态或持续反应来预测。基于这些发现,我们开发了一个包含适应和神经元速度调谐的模型,该模型预测与加速反应相比,减速反应的推断速度更高且峰值发放率更低。与神经元缺乏加速度敏感性一致,该模型没有预测出特定于加速度的反应。这个单细胞模型的输出被传递到一个基于群体向量的模型,用于估计刺激速度和加速度。我们表明,这样一个模型可以利用MT区神经元群体的信息准确估计相对速度和加速度。

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