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Katsunori Kitano: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. K. Kitano, H. Okamoto, T. Fukai
    Time representing cortical activities: two models inspired by prefrontal persistent activity. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2003, v:88, n:5, pp:387-394 [Journal]
  2. Hideyuki Câteau, Katsunori Kitano, Tomoki Fukai
    An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:343-351 [Journal]
  3. Tomoki Fukai, Katsunori Kitano, Toshio Aoyagi, Youngnam Kang
    Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:103-108 [Journal]
  4. Katsunori Kitano, Toshio Aoyagi, Tomoki Fukai
    Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:721-726 [Journal]
  5. Katsunori Kitano, Hideyuki Câteau, Tomoki Fukai
    Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:473-478 [Journal]
  6. Toshio Aoyagi, Katsunori Kitano
    Retrieval Dynamics in Oscillator Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:6, pp:1527-1546 [Journal]
  7. Siu Kang, Katsunori Kitano, Tomoki Fukai
    Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:3, pp:307-312 [Journal]

  8. Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering. [Citation Graph (, )][DBLP]


  9. Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model. [Citation Graph (, )][DBLP]


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