Generalization of generative model for neuronal ensemble inference method

no code implementations • 7 Nov 2022 • Shun Kimura, Koujin Takeda

For these reasons, there is a demand for methods to infer functional neuronal ensembles from neuronal activity data, and methods based on Bayesian inference have been proposed.

Bayesian Inference

Conditional MoCoGAN for Zero-Shot Video Generation

no code implementations • 13 Sep 2021 • Shun Kimura, Kazuhiko Kawamoto

To realize this objective, we base our model on the motion and content decomposed GAN and conditional GAN for image generation.

Generative Adversarial Network Image Generation +1

Improved Neuronal Ensemble Inference with Generative Model and MCMC

no code implementations • 20 May 2021 • Shun Kimura, Keisuke Ota, Koujin Takeda

Neuronal ensemble inference is a significant problem in the study of biological neural networks.

Bayesian Inference

Improved algorithm for neuronal ensemble inference by Monte Carlo method

no code implementations • 15 Nov 2019 • Shun Kimura, Koujin Takeda

Neuronal ensemble inference is one of the significant problems in the study of biological neural networks.

Bayesian Inference