Shigeru Shinomoto

According to our database1, Shigeru Shinomoto authored at least 32 papers between 1992 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Inferring objects from a multitude of oscillations.
Neural Computing and Applications, 2018

Identifying exogenous and endogenous activity in social media.
CoRR, 2018

Estimation of Neuronal Firing Rate.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Bursting Activity Spreading through Asymmetric Interactions.
Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

Information Transmission Using Non-Poisson Regular Firing.
Neural Computation, 2013

Estimating inputs and an internal neuronal parameter from a single spike train.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Neurons as ideal change-point detectors.
Journal of Computational Neuroscience, 2012

Optimizing Time Histograms for Non-Poissonian Spike Trains.
Neural Computation, 2011

Estimation of Time-Dependent Input from Neuronal Membrane Potential.
Neural Computation, 2011

Elemental Spiking Neuron Model for Reproducing Diverse Firing Patterns and Predicting Precise Firing Times.
Frontiers Comput. Neurosci., 2011

Deciphering Elapsed Time and Predicting Action Timing from Neuronal Population Signals.
Frontiers Comput. Neurosci., 2011

Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Fitting a stochastic spiking model to neuronal current injection data.
Neural Networks, 2010

A characterization of the time-rescaled gamma process as a model for spike trains.
Journal of Computational Neuroscience, 2010

Kernel bandwidth optimization in spike rate estimation.
Journal of Computational Neuroscience, 2010

Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex.
PLoS Computational Biology, 2009

Estimating Instantaneous Irregularity of Neuronal Firing.
Neural Computation, 2009

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold.
Frontiers Comput. Neurosci., 2009

A Method for Selecting the Bin Size of a Time Histogram.
Neural Computation, 2007

Inference of intrinsic spiking irregularity based on the Kullback-Leibler information.
Biosyst., 2007

A recipe for optimizing a time-histogram.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Predicting spike times from subthreshold dynamics of a neuron.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Predicting spike timings of current-injected neurons.
Neural Networks, 2004

Differences in Spiking Patterns Among Cortical Neurons.
Neural Computation, 2003

New classification scheme of cortical sites with the neuronal spiking characteristics.
Neural Networks, 2002

Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons.
Neural Networks, 1999

The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex.
Neural Computation, 1999

Inter-spike Interval Statistics of Cortical Neurons.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries.
Neural Computation, 1995

Acceleration of Learning in Binary Choice Problems.
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

Learning Curves for Error Minimum and Maximum Likelihood Algorithms.
Neural Computation, 1992

Four Types of Learning Curves.
Neural Computation, 1992