Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells
Previous studies have reported that directionally selective ganglion cells respond strongly in their preferred direction, but are only weakly excited by stimuli moving in the opposite null direction. Various studies have attempted to elucidate the mechanisms underlying direction selectivity with cel...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/14/1663 |
| _version_ | 1797527310878900224 |
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| author | Mianzhe Han Yuki Todo Zheng Tang |
| author_facet | Mianzhe Han Yuki Todo Zheng Tang |
| author_sort | Mianzhe Han |
| collection | DOAJ |
| description | Previous studies have reported that directionally selective ganglion cells respond strongly in their preferred direction, but are only weakly excited by stimuli moving in the opposite null direction. Various studies have attempted to elucidate the mechanisms underlying direction selectivity with cellular basis. However, these studies have not elucidated the mechanism underlying motion direction detection. In this study, we propose the mechanism based on Barlow’s inhibitory scheme for motion direction detection. We described the local motion-sensing direction-selective neurons. Next, this model was used to construct the two-dimensional multi-directional detection neurons which detect the local motion directions. The information of local motion directions was finally used to infer the global motion direction. To verify the validity of the proposed mechanism, we conducted a series of experiments involving a dataset with a number of images. The proposed mechanism exhibited good performance in all experiments with high detection accuracy. Furthermore, we compare the performance of our proposed system and traditional Convolution Neural Network (CNN) on motion direction prediction. It is found that the performance of our system is much better than that of CNN in terms of accuracy, calculation speed and cost. |
| first_indexed | 2024-03-10T09:41:09Z |
| format | Article |
| id | doaj.art-739d0c4a7f5f411bade74ad9ab52c021 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T09:41:09Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-739d0c4a7f5f411bade74ad9ab52c0212023-11-22T03:38:05ZengMDPI AGElectronics2079-92922021-07-011014166310.3390/electronics10141663Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion CellsMianzhe Han0Yuki Todo1Zheng Tang2Faculty of Electrical and Computer Engineering, Kanazawa University, Kakuma-machi, Kanazawa 920-1192, JapanFaculty of Electrical and Computer Engineering, Kanazawa University, Kakuma-machi, Kanazawa 920-1192, JapanDepartment of Intelligence Information Systems, University of Toyama, 3190 Gofuku, Toyama 930-8555, JapanPrevious studies have reported that directionally selective ganglion cells respond strongly in their preferred direction, but are only weakly excited by stimuli moving in the opposite null direction. Various studies have attempted to elucidate the mechanisms underlying direction selectivity with cellular basis. However, these studies have not elucidated the mechanism underlying motion direction detection. In this study, we propose the mechanism based on Barlow’s inhibitory scheme for motion direction detection. We described the local motion-sensing direction-selective neurons. Next, this model was used to construct the two-dimensional multi-directional detection neurons which detect the local motion directions. The information of local motion directions was finally used to infer the global motion direction. To verify the validity of the proposed mechanism, we conducted a series of experiments involving a dataset with a number of images. The proposed mechanism exhibited good performance in all experiments with high detection accuracy. Furthermore, we compare the performance of our proposed system and traditional Convolution Neural Network (CNN) on motion direction prediction. It is found that the performance of our system is much better than that of CNN in terms of accuracy, calculation speed and cost.https://www.mdpi.com/2079-9292/10/14/1663direction selectivityretinamechanismneuronmotion detection |
| spellingShingle | Mianzhe Han Yuki Todo Zheng Tang Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells Electronics direction selectivity retina mechanism neuron motion detection |
| title | Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells |
| title_full | Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells |
| title_fullStr | Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells |
| title_full_unstemmed | Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells |
| title_short | Mechanism of Motion Direction Detection Based on Barlow’s Retina Inhibitory Scheme in Direction-Selective Ganglion Cells |
| title_sort | mechanism of motion direction detection based on barlow s retina inhibitory scheme in direction selective ganglion cells |
| topic | direction selectivity retina mechanism neuron motion detection |
| url | https://www.mdpi.com/2079-9292/10/14/1663 |
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