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Kentaro Katahira
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2020 – today
- 2021
- [j12]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) - 2020
- [j11]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: 8 (2020)
2010 – 2019
- 2019
- [c8]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: 3859-3865 - 2017
- [i2]Kazuyuki Hara, Kentaro Katahira, Masato Okada:
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline. CoRR abs/1706.06953 (2017) - 2014
- [j10]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: 18 (2014) - [j9]Kazuyuki Hara, Kentaro Katahira:
Theoretical Analysis of Learning Speed in Gradient Descent Algorithm Replacing Derivative with Constant. Inf. Media Technol. 9(1): 61-66 (2014) - [c7]Kazuyuki Hara, Kentaro Katahira:
Soft Committee Machine Using Simple Derivative Term. ICAISC (1) 2014: 59-66 - [c6]Kazuyuki Hara, Kentaro Katahira:
Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function. ICANN 2014: 499-506 - [c5]Ryunosuke Hamada, Takatomi Kubo, Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Kazushi Ikeda:
Birdsong analysis using beta process hidden Markov model. MLSP 2014: 1-5 - 2013
- [j8]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: 101 (2013) - 2012
- [j7]Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Statistical Mechanics of Reward-Modulated Learning in Decision-Making Networks. Neural Comput. 24(5): 1230-1270 (2012) - [c4]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 - [c3]Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Theoretical Analysis of Function of Derivative Term in On-Line Gradient Descent Learning. ICANN (2) 2012: 9-16 - 2011
- [j6]Kazuyuki Hara, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Statistical Mechanics of On-line Node-perturbation Learning. Inf. Media Technol. 6(2): 352-361 (2011) - [j5]Tatsuya Cho, Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Node perturbation learning without noiseless baseline. Neural Networks 24(3): 267-272 (2011) - 2010
- [j4]Kentaro Katahira, Jun Nishikawa
Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution. Neural Comput. 22(9): 2369-2389 (2010) - [j3]Kentaro Katahira, Tatsuya Cho, Kazuo Okanoya, Masato Okada:
Optimal node perturbation in linear perceptrons with uncertain eligibility trace. Neural Networks 23(2): 219-225 (2010) - [c2]Kentaro Katahira, Kazuo Okanoya, Masato Okada:
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks. NIPS 2010: 1081-1089 - [i1]Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya, Masato Okada:
Complex sequencing rules of birdsong can be explained by simple hidden Markov processes. CoRR abs/1011.2575 (2010)
2000 – 2009
- 2008
- [j2]Dilshat Abla, Kentaro Katahira, Kazuo Okanoya:
On-line Assessment of Statistical Learning by Event-related Potentials. J. Cogn. Neurosci. 20(6): 952-964 (2008) - [c1]Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Masato Okada:
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM. NIPS 2008: 817-824 - 2007
- [j1]Kentaro Katahira, Kazuo Okanoya, Masato Okada:
A neural network model for generating complex birdsong syntax. Biol. Cybern. 97(5-6): 441-448 (2007)
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