81 citations · 85 across the 4 of their papers we have counts for
4 papers
Statistical Mechanics of Node-perturbation Learning with Noisy Baseline
Kazuyuki Hara, Kentaro Katahira, Masato Okada
Node-perturbation learning is a type of statistical gradient descent algorithm that can be applied to problems where the objective function is not explicitly formulated, including…
A prototype model for evaluating psychiatric research strategies: Diagnostic category-based approaches vs. the RDoC approach
Kentaro Katahira, Yuichi Yamashita
In this paper, we propose a theoretical framework for evaluating psychiatric research strategies. The strategies to be evaluated include a conventional diagnostic category-based ap…
Complex sequencing rules of birdsong can be explained by simple hidden Markov processes
Kentaro Katahira, Kenta Suzuki, Kazuo Okanoya +1
Complex sequencing rules observed in birdsongs provide an opportunity to investigate the neural mechanism for generating complex sequential behaviors. To relate the findings from s…
Retrieval of branching sequences in associative memory model with common external input and bias input
Kentaro Katahira, Masaki Kawamura, Kazuo Okanoya +1
We investigate a recurrent neural network model with common external and bias inputs that can retrieve branching sequences. Retrieval of memory sequences is one of the most importa…