Network Properties of Neurons
Contents
Introduction
Simple Dynamics
Larger Networks
Downloads and Links

Network Properties of Neurons - Dan Aylen and Dr John Terry

Downloads

Download the report in .pdf format

Download the entire report in .pdf format here

Download the project poster in .pdf format (large file; may take several minutes)

Download the project poster in .pdf format (large file; may take several minutes)

MATLAB Files

You need MATLAB to run these files. To check input variables and for a description of the file type "help filename" in MATLAB, where filename is the name of the file.

A single neuron

A single neuron, allows the variation of input current.

Two coupled neurons

Two coupled neurons. Input current and coupling strength.

Neurons in a line

Neurons in a line. Number of neurons, input current and coupling strength can be varied.

Neurons in a ring

Neurons in a ring. Number of neurons, input current and coupling strength can be varied.

Further Reading

[1] A. L. Hodgkin and A. F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve, J Physiol. 117(4) 500544, 1952

[2] H. R. Wilson, Spikes Decisions and Actions: Dynamical Foundations of Neuroscience, Oxford University Press, 1999

[3] M. A. Rogawski, The A-current: How Ubiquitous a Feature of Excitable Cells is it?, TINS 8 214-219, 1985

[4] J. Rinzel, Excitation Dyanmics: Insights from Simplified Membrane Models, Fed. Proc. 44 2944-2946 1985

[5] A. Snead, Basic mechanisms of generalized absence seizures, Neurol 37 146, 1995

[6] J. L. Hindmarsh and R. M. Rose, Nature (London) 296 162, 1982

[7] J. L. Hindmarsh and R. M. Rose, Proc. R. Soc. London, Ser. B 221 87, 1984

[8] M. Steriade and R. R. Llinas, The Functional states of the Thalamus and the Associated Neuronal Interplay, Physiol. Rev. 68 649, 1988

[9] S. M. Sherman and C. Kock, The control of retinogeniculate transmission in the mammalian lateral geniculate nucleus, Exp. Brain Res 63 1, 1986

[10] M. Dhamala, V. K. Jirsa, and M. Ding, Transitions to Synchrony in Coupled Bursting Neurons. Phys. Rev. Lett. 74 028101-1, 2004.

[11] M. Breakspear, J. R. Terry, K. J. Friston, Modulation of Excitatory Synaptic Coupling Facilities Synchronization and Complex Dynamics in a Biophys- ical Model of Neuronal Dynamics. Comput. Neural Syst. 14 703-732, 2003.

[12] R. Erichsen Jr., M.S. Mainieri and L.G. Brunnet, Periodicity and chaos in electrically coupled Hindmarsh-Rose neurons. Phys. Rev. Lett. 74 061906, 2006.

[13] Yu Jiang, Comment on "Transitions to Synchrony in Coupled Hindmarsh-Rose Neurons". Phys. Rev. Lett. 93 229801, 2004.

[14] M. Dhamala, V. K. Jirsa, and M. Ding Reply to [13]. Phys. Rev. Lett. 93 229801, 2006.

[15] L. M. Percora and T. L. Carroll, Master Stability Functions for Syncronized Coupled Systems Phys. Rev. Lett. 80 2109, 1998

[16] P. Ashwin, J. R. Terry, K. S. Thornburg and R. Roy, Blowout Bifurcation in a System of Coupled Chaotic Lasers Phys. Rev. Lett. 58 6, 1998

[17] E. Ott and J. C. Sommerer, Blowout bifurcations: the occurence of riddled basins and on-off intermittency Phys. Rev. Lett. 188 39-47, 1994

[18] T. Kanamaru, Blowout bifurcation and on-off intermittency in pulse neural networks with multiple modules, International Journal of Bifurcation and Chaos 16 11, 2006


Site designed and maintained by Dan Aylen. Best viewed in Firefox, Opera or Safari