A Neuron for Velocity Detection Based on Inhibitory Mechanism in Retina Ganglion

Mianzhe Han, Yuki Todo, Zheng Tang

研究成果: 書籍の章/レポート/会議録会議への寄与査読

5 被引用数 (Scopus)

抄録

For mammals, motion direction detection is of great significance. There are specific ganglion cells in the retina to process movement information. In the retina system, cells of the different types perform different computation in different places of the visual field. Very few parts of them are figured out. For example, the processing mechanism of velocity information is unclear. Developing a good modeling of velocity neurons is very important to many different research fields. In this paper, we propose a neuron for velocity detection based on inhibitory mechanism in retina ganglion. We show that there are velocity detective neurons in the nervous system. Different speed information is processed by different speed detection neurons which has been confirmed to exist. We use them to detect different levels of velocity in one dimension. To verify the validity of the proposed mechanism, we conduct a series of experiments which show that this model can successfully detect the movement speed of objects in one-dimension.

本文言語英語
ホスト出版物のタイトル2021 4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ459-462
ページ数4
ISBN(電子版)9780738131702
DOI
出版ステータス出版済み - 2021/05/28
イベント4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021 - Chengdu, 中国
継続期間: 2021/05/282021/05/31

出版物シリーズ

名前2021 4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021

学会

学会4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021
国/地域中国
CityChengdu
Period2021/05/282021/05/31

ASJC Scopus 主題領域

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理
  • 決定科学(その他)
  • 安全性、リスク、信頼性、品質管理

フィンガープリント

「A Neuron for Velocity Detection Based on Inhibitory Mechanism in Retina Ganglion」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル