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Author:

Miao, Jun (Miao, Jun.) | Duan, Lijuan (Duan, Lijuan.) (Scholars:段立娟) | Qing, Laiyun (Qing, Laiyun.) | Qiao, Yuanhua (Qiao, Yuanhua.) (Scholars:乔元华)

Indexed by:

CPCI-S

Abstract:

This paper presents an improved neural architecture for gaze movement control in target searching. Compared with the four-layer neural structure proposed in [14], a new movement coding neuron layer is inserted between the third layer and the fourth layer in previous structure for finer gaze motion estimation and control. The disadvantage of the previous structure is that all the large responding neurons in the third layer were involved in gaze motion synthesis by transmitting weighted responses to the movement control neurons in the fourth layer. However, these large responding neurons may produce different groups of movement estimation. To discriminate and group these neurons' movement estimation in terms of grouped connection weights form them to the movement control neurons in the fourth layer is necessary. Adding a new neuron layer between the third layer and the fourth lay is the measure that we solve this problem. Comparing experiments on target locating showed that the new architecture made the significant improvement.

Keyword:

Author Community:

  • [ 1 ] [Miao, Jun]Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
  • [ 2 ] [Duan, Lijuan]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Qing, Laiyun]Grad Univ Chinese Acad Sci, Sch Informat Sci & Engn, Beijing 100049, Peoples R China
  • [ 4 ] [Qiao, Yuanhua]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Miao, Jun]Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China

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Source :

2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

Year: 2011

Page: 2341-2348

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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