Showing results (1-10 of 219) with videos related to
Sort By:
Pageof 22
Neuroscience Research|August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A reviewRyota Kobayashi, Shigeru ShinomotoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 16, 2007
State space method for predicting the spike times of a neuronRyota Kobayashi, Shigeru ShinomotoFrontiers in Computational Neuroscience|August 12, 2009
Made-to-order spiking neuron model equipped with a multi-timescale adaptive thresholdRyota Kobayashi, Yasuhiro Tsubo, Shigeru ShinomotoNeural Computation|September 17, 2011
Estimation of time-dependent input from neuronal membrane potentialRyota Kobayashi, Shigeru Shinomoto, Petr LanskyJournal of Neuroscience Methods|December 28, 2007
A benchmark test for a quantitative assessment of simple neuron modelsRenaud Jolivet, Ryota Kobayashi, Alexander Rauch, et al.Neural Networks : the Official Journal of the International Neural Network Society|May 19, 2010
Fitting a stochastic spiking model to neuronal current injection dataShigeru ShinomotoNature Communications|October 4, 2019
Reconstructing neuronal circuitry from parallel spike trainsRyota Kobayashi, Shuhei Kurita, Anno Kurth, et al.Neural Computation|September 17, 2011
Optimizing time histograms for non-Poissonian spike trainsTakahiro Omi, Shigeru ShinomotoScientific Reports|March 5, 2026
Comparing effective and functional connectivityShigeru Shinomoto, Yasuhiro TsuboAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Estimating inputs and an internal neuronal parameter from a single spike trainShigeru Shinomoto, Hideaki KimPageof 22