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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Navarro-Guerrero, N. Lowe, R. Wermter, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: Knowledge Technology Group, University of Hamburg, Department of Computer Science, Vogt-Koelln-Str. 30, 22527, Germany (Navarro-Guerrero, N.; Wermter, S.) || Cognition & Interaction Lab (COIN), Informatics Research Centre, University of Skövde, PO Box 408, 54128, Sweden (Lowe, R.) |
| Abstract | In this work, we present a neurocomputational model for auditory-cue fear acquisition. Computational fear conditioning has experienced a growing interest over the last few years, on the one hand, because it is a robust and quick learning paradigm that can contribute to the development of more versatile robots, and on the other hand, because it can help in the understanding of fear conditioning and dysfunctions in animals. Fear learning involves sensory and motor aspects [1] and it is essential for adaptive self-protective systems. We argue that a deeper study of the mechanisms underlying fear circuits in the brain will contribute not only to the development of safer robots but eventually also to a better conceptual understanding of neural fear processing in general. Towards the development of a robotic adaptive self-protective system, we have designed a neural model of fear conditioning based on LeDoux's dual-route hypothesis of fear [2] and also dopamine modulated Pavlovian conditioning [3]. Our hybrid approach is capable of learning the temporal relationship between auditory sensory cues and an aversive or appetitive stimulus. The model was tested as a neural network simulation but it was designed to be used with minor modifications on a robotic platform. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1655738 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467314886 |
| ISSN | 21614393 |
| e-ISBN | 9781467314909 |
| e-ISBN | 9781467314893 |
| DOI | 10.1109/IJCNN.2012.6252392 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Brain modeling Biological system modeling Computational modeling Integrated circuit modeling Reservoirs |
| Content Type | Text |
| Resource Type | Article |
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