 | 2008 |
|---|
| 10 |       | Katsunori Kitano,
Kazuhiro Yamada:
Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model.
ICONIP (1) 2008: 978-985 |
| 2007 |
|---|
| 9 | | Hideyuki Câteau,
Katsunori Kitano,
Tomoki Fukai:
Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering.
ICONIP (1) 2007: 142-150 |
| 8 | | Katsunori Kitano,
Tomoki Fukai:
Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.
Journal of Computational Neuroscience 23(2): 237-250 (2007) |
| 2004 |
|---|
| 7 | | Siu Kang,
Katsunori Kitano,
Tomoki Fukai:
Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons.
Neural Networks 17(3): 307-312 (2004) |
| 2003 |
|---|
| 6 | | Katsunori Kitano,
Hiroshi Okamoto,
Tomoki Fukai:
Time representing cortical activities: two models inspired by prefrontal persistent activity.
Biological Cybernetics 88(5): 387-394 (2003) |
| 2002 |
|---|
| 5 | | Tomoki Fukai,
Katsunori Kitano,
Toshio Aoyagi,
Youngnam Kang:
Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine.
Neurocomputing 44-46: 103-108 (2002) |
| 4 | | 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.
Neurocomputing 44-46: 343-351 (2002) |
| 3 | | Katsunori Kitano,
Hideyuki Câteau,
Tomoki Fukai:
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity.
Neurocomputing 44-46: 473-478 (2002) |
| 2001 |
|---|
| 2 | | Katsunori Kitano,
Toshio Aoyagi,
Tomoki Fukai:
Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons.
Neurocomputing 38-40: 721-726 (2001) |
| 1998 |
|---|
| 1 |  | Toshio Aoyagi,
Katsunori Kitano:
Retrieval Dynamics in Oscillator Neural Networks.
Neural Computation 10(6): 1527-1546 (1998) |
