会议专题

Modeling the Functional Development Of Human Visual Motion Area MT+

Area M T+ is a patch of middle temporal cortex that plays a critical role in our ability to perceive motion in the visual modality. Recent neuroimaging studies of congenitally blind adults suggest that this brain area can learn to represent auditory motion, but only when individuals are deprived of visual input from birth. Here I present a parallel distributed processing network that behaves similarly to area MT+. Its internal connection weights are such that it is able to compute the direction of motion by comparing the locations of two sequentially-presented visual inputs. Trained on visual + auditory input, it continues to respond only to visual motion. In the absence of visual inputs, it learns to detect motion in auditory inputs. My network is characterized by innate processing biases, coupled with a capacity for flexibility. I argue that this implementation is a plausible model of the neural network that constitutes area MT+.

vision, audition perception motion neural plasticity parallel distributed processing simple recurrent network

Benjamin van Buren

University of Pennsylvania Philadelphia, USA

国际会议

2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

上海

英文

330-334

2011-07-26(万方平台首次上网日期,不代表论文的发表时间)