Random neural networks with state-dependent firing neurons

Cited 6 time in webofscience Cited 0 time in scopus
  • Hit : 300
  • Download : 0
This letter studies the properties of the random neural networks (RNNs) with state-dependent firing neurons. It is assumed that the times between successive signal emissions of a neuron are dependent on the neuron potential. Under certain conditions, the networks keep the simple product form of stationary solutions and exhibit enhanced capacity of adjusting the probability distribution of the neuron states. It is demonstrated that desired associative memory states can be stored in the networks.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2005-07
Language
English
Article Type
Article
Keywords

SPIKING NEURONS

Citation

IEEE TRANSACTIONS ON NEURAL NETWORKS, v.16, no.4, pp.980 - 983

ISSN
1045-9227
DOI
10.1109/TNN.2005.849829
URI
http://hdl.handle.net/10203/90037
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0