篠本滋 研究者
篠本, 滋, 1955-
Shinomoto, Shigeru.
篠本, 滋
VIAF ID: 313528782 (Personal)
Permalink: http://viaf.org/viaf/313528782
Preferred Forms
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- 100 1 _ ‡a Shinomoto, Shigeru
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- 100 1 _ ‡a 篠本, 滋
- 100 1 _ ‡a 篠本, 滋 ‡d 1955-
- 100 1 _ ‡a 篠本, 滋, ‡d 1955-
- 100 0 _ ‡a 篠本滋 ‡c 研究者
4xx's: Alternate Name Forms (15)
Works
Title | Sources |
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Analog and digital codes in the brain | |
A benchmark test for a quantitative assessment of simple neuron models. | |
Bursting transition in a linear self-exciting point process | |
Can distributed delays perfectly stabilize dynamical networks? | |
A characterization of the time-rescaled gamma process as a model for spike trains. | |
Computational Neuroscience: Mathematical and Statistical Perspectives | |
Correlations and forecast of death tolls in the Syrian conflict. | |
Deciphering elapsed time and predicting action timing from neuronal population signals | |
Detection limit for rate fluctuations in inhomogeneous Poisson processes | |
Difference in modes of firing rate modulation between cortical areas | |
Differences in spiking patterns among cortical neurons | |
Efficient information transfer by Poisson neurons | |
Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times | |
Emergence of event cascades in inhomogeneous networks. | |
Estimating instantaneous irregularity of neuronal firing | |
Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation | |
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron | |
Estimation of time-dependent input from neuronal membrane potential | |
Fitting a stochastic spiking model to neuronal current injection data | |
Inference of intrinsic spiking irregularity based on the Kullback-Leibler information. | |
Information transmission using non-poisson regular firing | |
Inhibitory neurons can facilitate rhythmic activity in a neural network | |
Jōhō shori gairon : Yosoku to shimyurēshon | |
Kernel bandwidth optimization in spike rate estimation | |
Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold | |
A measure of local variation of inter-spike intervals | |
A method for selecting the bin size of a time histogram | |
Microscopic instability in recurrent neural networks | |
MST neurons code for visual motion in space independent of pursuit eye movements | |
Neurons as ideal change-point detectors | |
Nō no dezain | |
Nōkagaku no tēburu, 2008: | |
Optimal observation time window for forecasting the next earthquake | |
Optimizing time histograms for non-Poissonian spike trains. | |
Oscillation, chaos and network dynamics in nonlinear science ... | |
Predicting spike timings of current-injected neurons | |
Reconstructing neuronal circuitry from parallel spike trains | |
Recording site dependence of the neuronal spiking statistics | |
Relating neuronal firing patterns to functional differentiation of cerebral cortex | |
Reverberating activity in a neural network with distributed signal transmission delays | |
Rikigaku. | |
Similarity in Neuronal Firing Regimes across Mammalian Species | |
A solution to the controversy between rate and temporal coding | |
State space method for predicting the spike times of a neuron. | |
スパイク・コーディングによる記憶情報の時空間表現 | |
力学 | |
脳のデザイン | |
脳内時間コーディングに関与する神経ダイナミクスの実証的理論研究 | |
脳科学のテーブル | |
情報の統計力学 | |
情報処理概論 : 予測とシミュレーション |