SACCADIC MOTOR PLANNING BY INTEGRATING VISUAL INFORMATION AND PRE-INFORMATION ON NEURAL DYNAMIC FIELDS

SACCADIC MOTOR PLANNING BY INTEGRATING VISUAL INFORMATION AND PRE-INFORMATION ON NEURAL DYNAMIC FIELDS
复制标题

DOI:
10.1007/bf00199055
复制
发表时间:
1995-06-01
影响因子:
1.9
通讯作者:
SCHONER, G
SCHONER, G
中科院分区:
工程技术3区
文献类型:
--
作者:
KOPECZ, K;SCHONER, G

文献摘要

被引文献

相似文献

提出了一种包含视觉处理、运动规划和运动控制元素的跳眼系统目标选择功能模型。我们解决了视觉信息与预信息的集成,预信息是通过操纵目标出现在某个位置的概率来提供的。这种整合是在计划眼动的动态表示中实现的,该动态表示通过地形场上的激活分布来建模。视觉输入引起激活,这也受到领域内横向相互作用和代表预信息的预成型输入的限制。该模型描述了在视觉目标出现在多个位置的范式中可观察到的目标选择。具体来说,我们建立了从平均到决策的过渡模型,即第一次扫视的端点落在两个视觉目标位置之间,第一次扫视的端点准确地落在两个同时呈现的视觉目标上。我们预测了通过学习获得的关于目标位置的预信息是如何诱发首跳的测量偏差的。当与运动控制阶段相结合时,计划层面的激活动力学有助于在注视条件下稳定凝视。我们的功能模型的神经生理学相关性进行了讨论。
A functional model of target selection in the saccadic system is presented, incorporating elements of visual processing, motor planning, and motor control. We address the integration of visual information with pre-information, which is provided by manipulating the probability that a target appears at a certain location. This integration is achieved within a dynamic representation of planned eye movement which is modeled through distributions of activation on a topographic field. Visual input evokes activation, which is also constrained by lateral interaction within the field and by preshaping input representing pre-information. The model describes target selection observable in paradigms in which visual goals are presented at more than one location. Specifically, we model the transition from averaging, where endpoints of first saccades fall between two visual target locations, to decision making, where endpoints of first saccades fall accurately onto one of two simultaneously presented visual targets. We make predictions about how metrical biases of first saccades are induced by pre-information about target locations acquired by learning. When coupled to a motor control stage, activation dynamics on the planning level contribute to stabilizing gaze under fixation conditions. The neurophysiological relevance of our functional model is discussed.