Switching state space model for simultaneously estimating state transitions and nonstationary firing rates. - Ken Takiyama; Masato Okada (NIPS, 2010)

Detection of Hidden Structures in Nonstationary Spike Trains. - Ken Takiyama; Masato Okada (Neural Comput., 2011)

Maximization of Learning Speed in the Motor Cortex Due to Neuronal Redundancy. - Ken Takiyama; Masato Okada (PLoS Comput. Biol., 2012)

Context-dependent memory decay is evidence of effort minimization in motor learning: a computational study. - Ken Takiyama (Frontiers Comput. Neurosci., 2015)

Phase shifts in alpha-frequency rhythm detected in electroencephalograms influence reaction time. - Yasushi Naruse; Ken Takiyama; Masato Okada; Hiroaki Umehara; Yutaka Sakaguchi (Neural Networks, 2015)

Bayesian geodesic path for human motor control. - Ken Takiyama (Neural Networks, 2017)

A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements. - Ken Takiyama; Yutaka Sakai (Neural Networks, 2017)