Laboratory for Neural Coding and Brain Computing







  • 脳の確率的計算原理と回路メカニズム
  • 神経ダイナミクスと情報表現
  • 大脳皮質局所回路の機能に関する理論と実験(ラット)
  • 神経集団活動データからの情報抽出(機械学習等)


  • Teramae J, Tsubo Y, Fukai T (2012) Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links, Scientific Reports 2, 485. doi:10.1038/srep00485.
  • Igarashi J, Isomura Y, Arai K, Harukuni R and Fukai T (2012) A theta-gamma oscillation code for neuronal coordination during motor behavior, J Neurosci. 33: 18515-18530
  • Tsubo Y, Isomura Y, Fukai T (2012) Power-law inter-spike interval distributions infer a conditional maximization of entropy in cortical neurons, PLoS Computational Biology, e1002461.
  • Gilson M, Fukai T (2011) Stability versus Neuronal Specialization for STDP: Long-Tail Weight Distributions Solve the Dilemma, PLoS ONE 6(10), e25339.
  • Isomura Y, Harukuni R, Takekawa T, Aizawa H, Fukai T (2009) Microcircuitry coordination of cortical motor information in self-initiation of voluntary movements, Nature Neuroscience 12, 1586-1593.
  • Okamoto H, Fukai T. (2009) Recurrent network models for perfect temporal integration of fluctuating correlated inputs, PLoS Comput. Biol. 5(6) e1000404.
  • Sakai Y, Fukai T (2008) When does reward maximization lead to matching law? PLoS ONE 3(11), e3795.
  • Fukai T, Kanemura S (2001) Noise-tolerant stimulus discrimination by synchronization with depressing synapses, Biological Cybernetics 85, 107-116.
  • Okamoto H, Fukai T (2001) A neural mechanism for cognitive timer, Physical Review Letters 86, 3919-3922.
  • Fukai T (2000) Neuronal communication within synchronous gamma oscillations, NeuroReport 11, 3457-3460.
  • Fukai T (1999) Sequence generation in arbitrary temporal patterns from theta-nested gamma oscillations: A model of the basal ganglia-thalamo-cortical loops. Neural Networks 12, 975-987.
  • Fukai T, Tanaka S (1997) A simple neural network exhibiting selective activation of neuronal ensembles: From winner-take-all to winners-share-all, Neural Computation 9, 77-97.
  • Shiino M, Fukai T (1993) Self-consistent signal-to-noise analysis of the statistical behavior of analog neural networks & enhancement of the storage capacity, Physical Review E48, 867-897.



News & Topics

2018/07/10 Publications
Tatsuya Haga and Tomoki Fukai. Recurrent network model for learning goal-directed sequences through reverse replay. eLIFE

Martín-Vázquez G, Asabuki T, Isomura Y and Fukai T. Learning Task-Related Activities From Independent Local-Field-Potential Components Across Motor Cortex Layers. Front. Neurosci

Chi Chung Alan Fung and Tomoki Fukai.Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Variability.Sci Rep

Naoki Hiratani and Tomoki Fukai. Redundancy in synaptic connections enables neurons to learn optimally. PNAS

2017/10/17 Publications
Naoki Hiratani and Tomoki Fukai. Detailed dendritic excitatory/inhibitory balance through heterosynaptic spike-timing-dependent plasticity. The Journal of Neuroscience

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Lab. for Neural Coding and Brain Computing, RIKEN CBS
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