2008 |
33 | EE | Jun-nosuke Teramae,
Tomoki Fukai:
Complex evolution of spike patterns during burst propagation through feed-forward networks.
Biological Cybernetics 99(2): 105-114 (2008) |
32 | EE | Yutaka Sakai,
Tomoki Fukai:
The Actor-Critic Learning Is Behind the Matching Law: Matching Versus Optimal Behaviors.
Neural Computation 20(1): 227-251 (2008) |
2007 |
31 | EE | 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 |
30 | EE | Jun-nosuke Teramae,
Tomoki Fukai:
Local cortical circuit model inferred from power-law distributed neuronal avalanches.
Journal of Computational Neuroscience 22(3): 301-312 (2007) |
29 | EE | Takashi Takekawa,
Toshio Aoyagi,
Tomoki Fukai:
Synchronous and asynchronous bursting states: role of intrinsic neural dynamics.
Journal of Computational Neuroscience 23(2): 189-200 (2007) |
28 | EE | 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) |
2006 |
27 | EE | Yutaka Sakai,
Hiroshi Okamoto,
Tomoki Fukai:
Computational algorithms and neuronal network models underlying decision processes.
Neural Networks 19(8): 1091-1105 (2006) |
2005 |
26 | EE | Jun-nosuke Teramae,
Tomoki Fukai:
A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Implications in Working Memory.
Journal of Computational Neuroscience 18(1): 105-121 (2005) |
2004 |
25 | EE | 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) |
24 | EE | Masaki Nomura,
Toshio Aoyagi,
Tomoki Fukai:
Gamma frequency synchronization in a local cortical network model.
Neurocomputing 58-60: 173-178 (2004) |
23 | EE | Hiroshi Okamoto,
Tomoki Fukai:
Propagation of quasi-stable activation in a chain of recurrent neural networks.
Neurocomputing 58-60: 235-238 (2004) |
2003 |
22 | EE | Katsunori Kitano,
Hiroshi Okamoto,
Tomoki Fukai:
Time representing cortical activities: two models inspired by prefrontal persistent activity.
Biological Cybernetics 88(5): 387-394 (2003) |
21 | EE | Hideyuki Câteau,
Tomoki Fukai:
A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity.
Neural Computation 15(3): 597-620 (2003) |
20 | EE | Toshio Aoyagi,
Takashi Takekawa,
Tomoki Fukai:
Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons.
Neural Computation 15(5): 1035-1061 (2003) |
19 | EE | Masaki Nomura,
Tomoki Fukai,
Toshio Aoyagi:
Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses.
Neural Computation 15(9): 2179-2198 (2003) |
18 | EE | Hiroshi Okamoto,
Tomoki Fukai:
Neural bases of accumulator models.
Neurocomputing 52-54: 285-288 (2003) |
2002 |
17 | EE | 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) |
16 | EE | 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) |
15 | EE | 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 |
14 | EE | Tomoki Fukai,
Seinichi Kanemura:
Noise-tolerant stimulus discrimination by synchronization with depressing synapses.
Biological Cybernetics 85(2): 107-116 (2001) |
13 | EE | Hideyuki Câteau,
Tomoki Fukai:
Fokker-Planck approach to the pulse packet propagation in synfire chain.
Neural Networks 14(6-7): 675-685 (2001) |
12 | EE | Hiroshi Okamoto,
Tomoki Fukai:
On experimental predictions from a model for a neural mechanism of internal timer.
Neurocomputing 38-40: 1489-1493 (2001) |
11 | EE | Tomoki Fukai:
Neuronal analog-digital information transformation at the gamma frequency.
Neurocomputing 38-40: 615-619 (2001) |
10 | EE | 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) |
9 | EE | Toshio Aoyagi,
Nobuhiko Terada,
Youngnam Kang,
Takeshi Kaneko,
Tomoki Fukai:
A bursting mechanism of chattering neurons based on Ca2+-dependent cationic currents.
Neurocomputing 38-40: 93-98 (2001) |
2000 |
8 | EE | Tomoki Fukai,
Seinichi Kanemura:
Precisely timed transient synchronization by depressing synapses.
Neurocomputing 32-33: 133-140 (2000) |
7 | EE | Hiroshi Okamoto,
Tomoki Fukai:
A model for neural representation of intervals of time.
Neurocomputing 32-33: 935-939 (2000) |
1999 |
6 | EE | Tetsuya Asai,
Tomoki Fukai,
Shigeru Tanaka:
A subthreshold MOS circuit for the Lotka-Volterra neural network producing the winners-share-all solution.
Neural Networks 12(2): 211-216 (1999) |
5 | EE | Tomoki Fukai:
Sequence generation in arbitrary temporal patterns from theta-nested gamma oscillations: a model of the basal ganglia-thalamo-cortical loops.
Neural Networks 12(7-8): 975-987 (1999) |
4 | EE | Tomoki Fukai:
Modeling the interplay of short-term memory and the basal ganglia in sequence processing.
Neurocomputing 26-27: 687-692 (1999) |
1998 |
3 | | Tomoki Fukai,
Seinichi Kanemura:
Synchrony with Depressive Synapses under Temporally-Fluctuating Stimulus Spikes.
ICONIP 1998: 31-34 |
1997 |
2 | EE | Tomoki Fukai,
Shigeru Tanaka:
A Simple Neural Network Exhibiting Selective Activation of Neuronal Ensemblies: From Winner-Take-All to Winners-Share-All.
Neural Computation 9(1): 77-97 (1997) |
1995 |
1 | EE | Tomoki Fukai,
Jongho Kim,
Masatoshi Shiino:
Retrieval properties of analog neural networks and the nonmonotonicity of transfer functions.
Neural Networks 8(3): 391-404 (1995) |