Laboratory for Neural Circuit Theory







  • 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
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

Tatsuya Haga and Tomoki Fukai. Recurrent network model for learning goal-directed sequences through reverse replay. Elife

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

2017/01/18 Publications
Takashi Handa et al, Medial frontal circuit dynamics represents probabilistic choices for unfamiliar sensory experience, Cerebral Cortex

Hiratani, Mixed Signal Learning by Spike Correlation Propagation in Feedback Inhibitory Circuits, PLoS Computational Biology

Copyright © 2006-2016 Webmaster of nct.brain.riken.jp. All rights reserved.
Lab. for Neural Circuit Theory, RIKEN Brain Science Institute
2-1 Hirosawa, Wako, Saitama, 351-0198 JAPAN