Communicating neurons: a connectionist spiking neuron implementation of stochastic diffusion searchNasuto, S. J., Bishop, J. M. and De Meyer, K. (2009) Communicating neurons: a connectionist spiking neuron implementation of stochastic diffusion search. Neurocomputing, 72 (4-6). pp. 704-712. ISSN 0925-2312 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/j.neucom.2008.03.019 Abstract/SummaryAn information processing paradigm in the brain is proposed, instantiated in an artificial neural network using biologically motivated temporal encoding. The network will locate within the external world stimulus, the target memory, defined by a specific pattern of micro-features. The proposed network is robust and efficient. Akin in operation to the swarm intelligence paradigm, stochastic diffusion search, it will find the best-fit to the memory with linear time complexity. information multiplexing enables neurons to process knowledge as 'tokens' rather than 'types'. The network illustrates possible emergence of cognitive processing from low level interactions such as memory retrieval based on partial matching. (C) 2007 Elsevier B.V. All rights reserved.
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