Kentaro Katahira

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 4

Top Topics

Personality Types

Gaussian Function

Statistical Mechanics

Top Venues

Frontiers Big Data

Publications

Kentaro Katahira, Asako Toyama
Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry. PLoS Comput. Biol. 17 (2) (2021)
Kentaro Katahira, Yoshihiko Kunisato, Yuichi Yamashita, Shinsuke Suzuki
Commentary: A robust data-driven approach identifies four personality types across four large data sets. Frontiers Big Data 3 (2020)
Shingo Murata, Hikaru Yanagida, Kentaro Katahira, Shinsuke Suzuki, Tetsuya Ogata, Yuichi Yamashita
Large-scale Data Collection for Goal-directed Drawing Task with Self-report Psychiatric Symptom Questionnaires via Crowdsourcing. SMC (2019)
Kazuyuki Hara, Kentaro Katahira, Masato Okada
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline. CoRR (2017)
Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda
Birdsong analysis using beta process hidden Markov model. MLSP (2014)
Kazuyuki Hara, Kentaro Katahira
Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. ICANN (2014)
Kazuyuki Hara, Kentaro Katahira
Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant. Inf. Media Technol. 9 (1) (2014)
Hiroshi Saito, Kentaro Katahira, Kazuo Okanoya, Masato Okada
Bayesian deterministic decision making: a normative account of the operant matching law and heavy-tailed reward history dependency of choices. Frontiers Comput. Neurosci. 8 (2014)
Kazuyuki Hara, Kentaro Katahira
Soft Committee Machine Using Simple Derivative Term. ICAISC (1) (2014)
Itsuki Yamashita, Kentaro Katahira, Yasuhiko Igarashi, Kazuo Okanoya, Masato Okada
Recurrent network for multisensory integration-identification of common sources of audiovisual stimuli. Frontiers Comput. Neurosci. 7 (2013)
Kentaro Katahira, Kazuo Okanoya, Masato Okada
Statistical Mechanics of Reward-Modulated Learning in Decision-Making Networks. Neural Comput. 24 (5) (2012)
Kenta Kubo, Kentaro Katahira, Kazuo Okanoya, Masato Okada, Nobuyuki Kawai
A joint ideomotor effect increases the inter-brain oscillation between two people engaged in a Japanese Ouija board "Kokkuri-san". CogSci (2012)
Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. ICANN (2) (2012)
Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada
Statistical Mechanics of On-line Node-perturbation Learning. Inf. Media Technol. 6 (2) (2011)
Tatsuya Cho, Kentaro Katahira, Kazuo Okanoya, Masato Okada
Node perturbation learning without noiseless baseline. Neural Networks 24 (3) (2011)
Kentaro Katahira, Tatsuya Cho, Kazuo Okanoya, Masato Okada
Optimal node perturbation in linear perceptrons with uncertain eligibility trace. Neural Networks 23 (2) (2010)
Kentaro Katahira, Kazuo Okanoya, Masato Okada
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks. NIPS (2010)
Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Masato Okada
Complex sequencing rules of birdsong can be explained by simple hidden Markov processes CoRR (2010)
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada
Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution. Neural Comput. 22 (9) (2010)
Dilshat Abla, Kentaro Katahira, Kazuo Okanoya
On-line Assessment of Statistical Learning by Event-related Potentials. J. Cogn. Neurosci. 20 (6) (2008)
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM. NIPS (2008)
Kentaro Katahira, Kazuo Okanoya, Masato Okada
A neural network model for generating complex birdsong syntax. Biol. Cybern. 97 (5-6) (2007)