Articole cu mandate pentru acces public - Yuichi YamashitaAflați mai multe
Nu este disponibil nicăieri: 1
Hierarchical Variational Recurrent Neural Network Modeling of Sensory Attenuation with Temporal Delay in Action-Outcome
R Suzuki, H Idei, Y Yamashita, T Ogata
2023 IEEE International Conference on Development and Learning (ICDL), 244-249, 2023
Mandate: Japan Science and Technology Agency
Disponibile undeva: 14
A review on neural network models of schizophrenia and autism spectrum disorder
P Lanillos, D Oliva, A Philippsen, Y Yamashita, Y Nagai, G Cheng
Neural Networks 122, 338-363, 2020
Mandate: European Commission
Learning to perceive the world as probabilistic or deterministic via interaction with others: A neuro-robotics experiment
S Murata, Y Yamashita, H Arie, T Ogata, S Sugano, J Tani
IEEE transactions on neural networks and learning systems 28 (4), 830-848, 2015
Mandate: A*Star, Singapore
A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data
C Wang, Y Li, Y Tsuboshita, T Sakurai, T Goto, H Yamaguchi, ...
NPJ digital medicine 5 (1), 43, 2022
Mandate: US Department of Defense, US National Institutes of Health, Canadian …
Emergence of sensory attenuation based upon the free-energy principle
H Idei, W Ohata, Y Yamashita, T Ogata, J Tani
Scientific reports 12 (1), 14542, 2022
Mandate: Japan Science and Technology Agency
A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease
C Wang, H Tachimori, H Yamaguchi, A Sekiguchi, Y Li, Y Yamashita, ...
Translational psychiatry 14 (1), 105, 2024
Mandate: US Department of Defense, US National Institutes of Health, Canadian …
Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy
T Soda, A Ahmadi, J Tani, M Honda, T Hanakawa, Y Yamashita
Frontiers in Psychiatry 14, 1080668, 2023
Mandate: Japan Science and Technology Agency
Interaction between functional connectivity and neural excitability in autism: a novel framework for computational modeling and application to biological data
Y Takahashi, S Murata, M Ueki, H Tomita, Y Yamashita
Computational Psychiatry 7 (1), 14, 2023
Mandate: Japan Science and Technology Agency
Computational mechanisms of osmoregulation: a reinforcement learning model for sodium appetite
Y Uchida, T Hikida, Y Yamashita
Frontiers in Neuroscience 16, 857009, 2022
Mandate: Japan Science and Technology Agency
Schizophrenia-mimicking layers outperform conventional neural network layers
R Mizutani, S Noguchi, R Saiga, Y Yamashita, M Miyashita, M Arai, ...
Frontiers in Neurorobotics 16, 851471, 2022
Mandate: US Department of Energy
Aberrant sense of agency induced by delayed prediction signals in schizophrenia: a computational modeling study
T Okimura, T Maeda, M Mimura, Y Yamashita
Schizophrenia 9 (1), 72, 2023
Mandate: Japan Science and Technology Agency
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models
H Idei, Y Yamashita
Neural Networks 169, 57-74, 2024
Mandate: Japan Science and Technology Agency
Emergence of number sense through the integration of multimodal information: developmental learning insights from neural network models
K Noda, T Soda, Y Yamashita
Frontiers in Neuroscience 18, 1330512, 2024
Mandate: Japan Science and Technology Agency
Emergence of Number Sense in Deep Multi-modal Neural Networks
K Noda, T Soda, Y Yamashita
OSF, 2022
Mandate: Japan Science and Technology Agency
Comprehensive Computational Simulation Framework for Atypical Development using Hierarchical Bayesian Neural Network Model
T Soda, A Ahmadi, J Tani, M Honda, T Hanakawa, Y Yamashita
OSF, 2023
Mandate: Japan Science and Technology Agency
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