Output details
11 - Computer Science and Informatics
University of Surrey
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Output 0 of 0 in the submission
Output title
A computational platform for visual fear conditioning
Type
E - Conference contribution
Name of conference/published proceedings
IJCNN 2009. International Joint Conference on Neural Networks
Volume number
-
Issue number
-
First page of article
2451
ISSN of proceedings
1098-7576
Year of publication
2009
URL
-
Number of additional authors
-
Additional information
<22>Human vision studies focus on functional aspects of the visual cortex and therefore the contribution made by low level brain structures is ignored. In this paper we present the first computational model of mid brain vision processing leading to the amygdala. This was applied to a practical problem of security surveillance and tested in a prototype with Waterfall Solutions Ltd as part of an EPSRC KTA project (EP/H500189/1). The novelty of this paper is to show how a neuroscience-inspired model can be applied systematically in real-time visual analysis trained to exhibit ‘fear’ when a particular visual target was detected.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
