Eugene M. Izhikevich

According to our database¹, Eugene M. Izhikevich authored at least 34 papers between 1996 and 2016.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2016

Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Game of Life.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

John H. Conway

Anil Seth

Scholarpedia, 2015

2011

Encyclopedia of computational neuroscience.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Scholarpedia, 2011

Encyclopedia of dynamical systems.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Scholarpedia, 2011

2010

Spike-Timing Theory of Working Memory.

[BibT_eX]

[DOI]

Botond Szatmáry

Eugene M. Izhikevich

PLoS Comput. Biol., 2010

2009

Polychronous Wavefront Computations.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Frank C. Hoppensteadt

Int. J. Bifurc. Chaos, 2009

2008

State space.

[BibT_eX]

[DOI]

David Terman

Eugene M. Izhikevich

Scholarpedia, 2008

Phase model.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Bard Ermentrout

Scholarpedia, 2008

2007

Equilibrium.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Scholarpedia, 2007

2006

FitzHugh-Nagumo model.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Richard FitzHugh

Scholarpedia, 2006

Bursting.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Scholarpedia, 2006

Polychronization: Computation with Spikes.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Neural Comput., 2006

2005

Guest Editorial.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Boris S. Gutkin

J. Comput. Neurosci., 2005

2004

Which model to use for cortical spiking neurons?

[BibT_eX]

[DOI]

Eugene M. Izhikevich

IEEE Trans. Neural Networks, 2004

Classification of bursting Mappings.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Frank C. Hoppensteadt

Int. J. Bifurc. Chaos, 2004

2003

Simple model of spiking neurons.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

IEEE Trans. Neural Networks, 2003

Slowly Coupled Oscillators: Phase Dynamics and Synchronization.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Frank C. Hoppensteadt

SIAM J. Appl. Math., 2003

Relating STDP to BCM.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Niraj S. Desai

Neural Comput., 2003

2001

Synchronization of Elliptic Bursters.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

SIAM Rev., 2001

Resonate-and-fire neurons.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Neural Networks, 2001

2000

Pattern recognition via synchronization in phase-locked loop neural networks.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

IEEE Trans. Neural Networks Learn. Syst., 2000

Phase Equations for Relaxation Oscillators.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

SIAM J. Appl. Math., 2000

Subcritical Elliptic Bursting of Bautin Type.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

SIAM J. Appl. Math., 2000

Neural excitability, Spiking and bursting.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Int. J. Bifurc. Chaos, 2000

Neural Computations by Networks of Oscillators.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Weakly pulse-coupled oscillators, FM interactions, synchronization, and oscillatory associative memory.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

IEEE Trans. Neural Networks, 1999

Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

IEEE Trans. Neural Networks, 1999

Weakly Connected Quasi-periodic Oscillators, FM Interactions, and Multiplexing in the Brain.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

SIAM J. Appl. Math., 1999

1998

Multiple cusp bifurcations.

[BibT_eX]

[DOI]

Eugene M. Izhikevich

Neural Networks, 1998

1997

Associative memory of weakly connected oscillators.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Thalamo-cortical interactions modeled by forced weakly connected oscillatory networks.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Canonical models for mathematical neuroscience.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Synaptic organizations and dynamical properties of weakly connected neural oscillators II. Learning phase information.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Biol. Cybern., 1996

Synaptic organizations and dynamical properties of weakly connected neural oscillators.

[BibT_eX]

[DOI]

Frank C. Hoppensteadt

Eugene M. Izhikevich

Biol. Cybern., 1996

Eugene M. Izhikevich

Timeline

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