| Paper Abstract and Keywords |
| Presentation |
2006-03-16 14:55
A computational V1 model derived from multi-resolution image-reconstruction
Shunji Satoh (Tohoku Fukushi Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Neurophysiological experiments have revealed that
post-synaptic effect conveyed by long-range horizontal connections (LHC) in V1
can be excitatory or inhibitory,
and the effect highly depends on the activity of pre-synaptic neurons
(non-linearity of horizontal connections).
Almost all of computational studies about LHC have been based on
contour integration.
However, contour integration cannot explain the non-linearity of LHC.
In this study,
the author proposes image-reconstruction as the computational role of
LHC in V1 instead of contour integration.
The spatial distribution of LHC and the non-linear property are
theoretically derived from the dynamics for image-reconstruction.
It is shown that the theoretically obtained distribution of LHC and the non-linear
property are qualitatively consistent with neurophysiological findings.
Numerical simulations show the effectiveness of the proposed model
from engineering points of view. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
V1 / horizontal connection / image reconstruction / regularization theory / orientation preferring neuron / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 105, no. 658, NC2005-134, pp. 55-60, March 2006. |
| Paper # |
NC2005-134 |
| Date of Issue |
2006-03-09 (NC) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
|
| Conference Information |
| Committee |
NC |
| Conference Date |
2006-03-15 - 2006-03-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tamagawa University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
General |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2006-03-NC |
| Language |
English (Japanese title is available) |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A computational V1 model derived from multi-resolution image-reconstruction |
| Sub Title (in English) |
|
| Keyword(1) |
V1 |
| Keyword(2) |
horizontal connection |
| Keyword(3) |
image reconstruction |
| Keyword(4) |
regularization theory |
| Keyword(5) |
orientation preferring neuron |
| Keyword(6) |
|
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Shunji Satoh |
| 1st Author's Affiliation |
Tohoku Fukushi University (Tohoku Fukushi Univ.) |
| 2nd Author's Name |
|
| 2nd Author's Affiliation |
() |
| 3rd Author's Name |
|
| 3rd Author's Affiliation |
() |
| 4th Author's Name |
|
| 4th Author's Affiliation |
() |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 13th Author's Name |
|
| 13th Author's Affiliation |
() |
| 14th Author's Name |
|
| 14th Author's Affiliation |
() |
| 15th Author's Name |
|
| 15th Author's Affiliation |
() |
| 16th Author's Name |
|
| 16th Author's Affiliation |
() |
| 17th Author's Name |
|
| 17th Author's Affiliation |
() |
| 18th Author's Name |
|
| 18th Author's Affiliation |
() |
| 19th Author's Name |
|
| 19th Author's Affiliation |
() |
| 20th Author's Name |
|
| 20th Author's Affiliation |
() |
| Speaker |
Author-1 |
| Date Time |
2006-03-16 14:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
NC |
| Paper # |
NC2005-134 |
| Volume (vol) |
vol.105 |
| Number (no) |
no.658 |
| Page |
pp.55-60 |
| #Pages |
6 |
| Date of Issue |
2006-03-09 (NC) |