Toru Aonishi

Tokyo Institute of Technology, Yokohama-shi, Kanagawa-ken, Japan 
"Toru Aonishi"
Mean distance: 16 (cluster 6)
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Gunathilaka MDSH, Kako S, Inui Y, et al. (2023) Effective implementation of [Formula: see text]-regularised compressed sensing with chaotic-amplitude-controlled coherent Ising machines. Scientific Reports. 13: 16140
Ito T, Ota K, Ueno K, et al. (2022) Low computational-cost cell detection method for calcium imaging data. Neuroscience Research
Aonishi T, Maruyama R, Ito T, et al. (2021) Imaging data analysis using non-negative matrix factorization. Neuroscience Research
Ota K, Oisi Y, Suzuki T, et al. (2021) Fast, cell-resolution, contiguous-wide two-photon imaging to reveal functional network architectures across multi-modal cortical areas. Neuron
Kato I, Innami K, Sakuma K, et al. (2019) Frequency-dependent entrainment of spontaneous Ca transients in the dendritic tufts of CA1 pyramidal cells in rat hippocampal slice preparations by weak AC electric field. Brain Research Bulletin
Aonishi T, Mimura K, Okada M, et al. (2018) Statistical mechanics of CDMA multiuser detector implemented in coherent Ising machine Journal of Applied Physics. 124: 233102
Aonishi T, Okada M, Mimura K, et al. (2018) Critical memory capacity of Hopfield model implemented in coherent Ising machine Journal of Applied Physics. 124: 152129
Aonishi T, Mimura K, Utsunomiya S, et al. (2017) Statistical Mechanics of Coherent Ising Machine — The Case of Ferromagnetic and Finite-Loading Hopfield Models — Journal of the Physical Society of Japan. 86: 104002
AONISHI T, MARUYAMA R, MIYAKAWA H. (2017) Automatic Cell Detection from Calcium Imaging Data Using Non-negative Matrix Factorization Seibutsu Butsuri. 57: 036-039
Suzuki Y, Ikeda H, Miyamoto T, et al. (2015) Noise-robust recognition of wide-field motion direction and the underlying neural mechanisms in Drosophila melanogaster. Scientific Reports. 5: 10253
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