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Output details

11 - Computer Science and Informatics

University of Ulster

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Article title

Receptive field optimisation and supervision of a fuzzy spiking neural network

Type
D - Journal article
Title of journal
Neural Networks
Article number
-
Volume number
24
Issue number
3
First page of article
247
ISSN of journal
08936080
Year of publication
2011
URL
-
Number of additional authors
3
Additional information

<24>Although the FSNN does not determine the number, placement or spread of fuzzy clusters without relying on external statistical or clustering techniques, this research will spark future work on biological receptive fields that involve the development of dynamic RFs. The work was a first in combining fuzzy reasoning with SNNs and will pave the way to more biologically plausible FSNNs that self-tune using strictly biological principles.

Interdisciplinary
-
Cross-referral requested
-
Research group
C - Intelligent Systems Research Centre
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-