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Visual motion detection based on a cooperative neural network architecture

Pallbo, Robert LU (1993) Scandinavian Conference of Artificial Intelligence -93 In Scandinavian Conference of Artificial Intelligence - 93 p.183-192
Abstract
A neural network architecture for visual direction detection is proposed. The approach assumes a continuous flow of visual stimuli as input. The output of the network will as a consequence be a continuous flow as well. Each node in the network signals when motion is occurring at their position. Other nodes make use of this information in their computations. This allows, from a computationally viewpoint, rather simple nodes. When a node detects a motion, this detection is propagated through the network in the direction of the motion. Such a propagation is easy to construct. The initial detection of a motion is carried out by spontaneous activity among the nodes. Hence, no motion detection is carried out by the nodes, but are an emergent... (More)
A neural network architecture for visual direction detection is proposed. The approach assumes a continuous flow of visual stimuli as input. The output of the network will as a consequence be a continuous flow as well. Each node in the network signals when motion is occurring at their position. Other nodes make use of this information in their computations. This allows, from a computationally viewpoint, rather simple nodes. When a node detects a motion, this detection is propagated through the network in the direction of the motion. Such a propagation is easy to construct. The initial detection of a motion is carried out by spontaneous activity among the nodes. Hence, no motion detection is carried out by the nodes, but are an emergent property of the collaboration in the network. In this paper, the model is presented and results from a computer simulation of the process is discussed. Related models of direction selectivity are also discussed in relation to the proposed model. (Less)
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type
Chapter in Book/Report/Conference proceeding
publication status
published
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in
Scandinavian Conference of Artificial Intelligence - 93
pages
183 - 192
publisher
ISO Press
conference name
Scandinavian Conference of Artificial Intelligence -93
language
English
LU publication?
yes
id
c0ed7fab-bdd7-4a99-94f3-5bd34e68a50f (old id 526523)
alternative location
http://robert.pallbo.se/academic/Papers/Scai93
date added to LUP
2007-10-11 13:23:19
date last changed
2016-04-16 09:04:01
@misc{c0ed7fab-bdd7-4a99-94f3-5bd34e68a50f,
  abstract     = {A neural network architecture for visual direction detection is proposed. The approach assumes a continuous flow of visual stimuli as input. The output of the network will as a consequence be a continuous flow as well. Each node in the network signals when motion is occurring at their position. Other nodes make use of this information in their computations. This allows, from a computationally viewpoint, rather simple nodes. When a node detects a motion, this detection is propagated through the network in the direction of the motion. Such a propagation is easy to construct. The initial detection of a motion is carried out by spontaneous activity among the nodes. Hence, no motion detection is carried out by the nodes, but are an emergent property of the collaboration in the network. In this paper, the model is presented and results from a computer simulation of the process is discussed. Related models of direction selectivity are also discussed in relation to the proposed model.},
  author       = {Pallbo, Robert},
  language     = {eng},
  pages        = {183--192},
  publisher    = {ARRAY(0x8f97a08)},
  series       = {Scandinavian Conference of Artificial Intelligence - 93},
  title        = {Visual motion detection based on a cooperative neural network architecture},
  year         = {1993},
}