NonLinear Model for Complex Neurons in Biological Visual Visions
NonLinear Model for Complex Neurons in Biological Visual Visions
Complex cells in biological visual vision are well known to be nonlinear. In this paper, it is demonstrated that these nonlinear complex cells can be modelled under some certain conditions by a biologically inspired model which is nonlinear in nature. Our model consists of cascaded neural layers accounting for anatomical evidence in biological early visual visions. In the model proposed in this paper, the axons associated with the complex cells are considered to operate nonlinearly. We also consider the second order interaction receptive maps as directional derivatives of the complex cell's kernel along the direction of orientation tuning. Our numerical results are similar to the biologically recorded data reported in the literature.
Mahmoodi, S
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
21 February 2016
Mahmoodi, S
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Mahmoodi, S
(2016)
NonLinear Model for Complex Neurons in Biological Visual Visions.
9th International Conference on Bio-Inspired Systems and Signal Processing, Rome, Italy.
6 pp
.
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Abstract
Complex cells in biological visual vision are well known to be nonlinear. In this paper, it is demonstrated that these nonlinear complex cells can be modelled under some certain conditions by a biologically inspired model which is nonlinear in nature. Our model consists of cascaded neural layers accounting for anatomical evidence in biological early visual visions. In the model proposed in this paper, the axons associated with the complex cells are considered to operate nonlinearly. We also consider the second order interaction receptive maps as directional derivatives of the complex cell's kernel along the direction of orientation tuning. Our numerical results are similar to the biologically recorded data reported in the literature.
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Published date: 21 February 2016
Venue - Dates:
9th International Conference on Bio-Inspired Systems and Signal Processing, Rome, Italy, 2016-02-21
Organisations:
Vision, Learning and Control
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Local EPrints ID: 385062
URI: http://eprints.soton.ac.uk/id/eprint/385062
PURE UUID: 42bb9c4f-b861-4e3c-b4aa-cbf899779d29
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Date deposited: 15 Dec 2015 11:49
Last modified: 14 Mar 2024 22:09
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Author:
S Mahmoodi
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