Hideaki Shimazaki
Hideaki Shimazaki
CHAIN, Hokkaido University
Verifisert e-postadresse på i.kyoto-u.ac.jp - Startside
Sitert av
Sitert av
A method for selecting the bin size of a time histogram
H Shimazaki, S Shinomoto
Neural Computation 19 (6), 1503-1527, 2007
Kernel bandwidth optimization in spike rate estimation
H Shimazaki, S Shinomoto
Journal of computational neuroscience 29 (1), 171-182, 2010
Social conflict resolution regulated by two dorsal habenular subregions in zebrafish
MY Chou, R Amo, M Kinoshita, BW Cherng, H Shimazaki, M Agetsuma, ...
Science 352 (6281), 87-90, 2016
State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data
H Shimazaki, S Amari, EN Brown, S Grün
PLoS Computational Biology 8 (3), e1002385, 2012
Spatial analysis of spike‐timing‐dependent LTP and LTD in the CA1 area of hippocampal slices using optical imaging
M Tsukada, T Aihara, Y Kobayashi, H Shimazaki
Hippocampus 15 (1), 104-109, 2005
Similarity in neuronal firing regimes across mammalian species
Y Mochizuki, T Onaga, H Shimazaki, T Shimokawa, Y Tsubo, R Kimura, ...
Journal of Neuroscience 36 (21), 5736-5747, 2016
Computational neuroscience: Mathematical and statistical perspectives
RE Kass, SI Amari, K Arai, EN Brown, CO Diekman, M Diesmann, ...
Annual review of statistics and its application 5, 183-214, 2018
Simultaneous silence organizes structured higher-order interactions in neural populations
H Shimazaki, K Sadeghi, T Ishikawa, Y Ikegaya, T Toyoizumi
Scientific reports 5, 9821, 2015
A recipe for optimizing a time-histogram
H Shimazaki, S Shinomoto
Advances in neural information processing systems 19, 1289, 2007
State-space analysis on time-varying correlations in parallel spike sequences
H Shimazaki, S Amari, EN Brown, S Grun
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
Approximate inference for time-varying interactions and macroscopic dynamics of neural populations
C Donner, K Obermayer, H Shimazaki
PLoS computational biology 13 (1), e1005309, 2017
Olfactory learning without the mushroom bodies: spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied …
HD MaBouDi, H Shimazaki, M Giurfa, L Chittka
PLoS computational biology 13 (6), e1005551, 2017
Kernel width optimization in the spike-rate estimation
H Shimazaki, S Shinomoto
Neural coding, 143-146, 2007
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17 (1), 1-112, 2016
Representation of Higher-order Statistical Structures in Natural Scenes via Spatial Phase Distributions
HD MaBouDi, H Shimazaki, S Amari, H Soltanian-Zadeh
Vision Research 120, 61-73, 2016
Hunger potentiates the habenular winner pathway for social conflict by orexin-promoted biased alternative splicing of the AMPA receptor gene
H Nakajo, MY Chou, M Kinoshita, L Appelbaum, H Shimazaki, T Tsuboi, ...
Cell Reports 31 (12), 107790, 2020
Neural engine hypothesis
H Shimazaki
Dynamic Neuroscience, 267-291, 2018
Single-trial estimation of stimulus and spike-history effects on time-varying ensemble spiking activity of multiple neurons: a simulation study
H Shimazaki
Journal of Physics: Conference Series 473 (1), 012009, 2013
The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics
H Shimazaki
arXiv preprint arXiv:1902.11233, 2019
Neurons as an Information-theoretic Engine
H Shimazaki
arXiv preprint arXiv:1512.07855, 2015
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