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Bio Systems|February 22, 2003
Physiologically realistic modelling of a mechanism for neural representation of intervals of timeHiroshi Okamoto, Tomoki FukaiPlos Computational Biology|June 9, 2009
Recurrent network models for perfect temporal integration of fluctuating correlated inputsHiroshi Okamoto, Tomoki FukaiNeural Networks : the Official Journal of the International Neural Network Society|September 1, 2006
Computational algorithms and neuronal network models underlying decision processesYutaka Sakai, Hiroshi Okamoto, Tomoki FukaiJournal of Neurophysiology|March 30, 2007
Temporal integration by stochastic recurrent network dynamics with bimodal neuronsHiroshi Okamoto, Yoshikazu Isomura, Masahiko Takada, et al.Neuroscience Research|January 2, 2023
Computational models of Idling brain activity for memory processingTomoki FukaiPlos One|July 10, 2014
Interplay between short- and long-term plasticity in cell-assembly formationNaoki Hiratani, Tomoki FukaiNeural Computation|November 30, 2007
The actor-critic learning is behind the matching law: matching versus optimal behaviorsYutaka Sakai, Tomoki FukaiElife|June 16, 2025
Predictive learning rules generate a cortical-like replay of probabilistic sensory experiencesToshitake Asabuki, Tomoki FukaiLearning & Memory (Cold Spring Harbor, N.Y.)|June 1, 2004
Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticityKatsunori Kitano, Tomoki FukaiThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 2, 2017
Detailed Dendritic Excitatory/Inhibitory Balance through Heterosynaptic Spike-Timing-Dependent PlasticityNaoki Hiratani, Tomoki FukaiPageof 56