Active spike responses of analog electrical neuron: Theory and experiments

Using an analog electrical FitzHugh-Nagumo neuron including complex threshold excitation (CTE) properties, we analyze its spiking responses under pulse stimulation corresponding to oscillating threshold manifold. The system is subjected to outside pulse stimulus and can generate nonlinear integrate-and-flre and resonant responses which are typical for excitable neuronal cells ("all-or-none"). The answer of the neuron strongly depends on the number and the characteristics of incoming impulses (amplitude, width, strength and frequency). For certain parameters range, there is a possibility to trigger a spiking sequence with a finite number of spikes in response of a single short stimulus pulse. Thus active transformation of N incoming pulses to M outgoing spikes is possible. The predicted theoretical results are found and observed in a nonlinear electrical circuit mimicking the CTE mode, which enlighten the robustness of these phenomena.

[1]  V I Nekorkin,et al.  Spiking patterns emerging from wave instabilities in a one-dimensional neural lattice. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[2]  Stefan Wermter,et al.  Spike-timing-dependent synaptic plasticity: from single spikes to spike trains , 2004, Neurocomputing.

[3]  R. Llinás I of the Vortex: From Neurons to Self , 2000 .

[4]  Jeffrey C Magee,et al.  A prominent role for intrinsic neuronal properties in temporal coding , 2003, Trends in Neurosciences.

[5]  W. J. Nowack Methods in Neuronal Modeling , 1991, Neurology.

[6]  Thomas Nowotny,et al.  Enhancement of Synchronization in a Hybrid Neural Circuit by Spike-Timing Dependent Plasticity , 2003, The Journal of Neuroscience.

[7]  Alwyn C. Scott,et al.  Neuroscience: A Mathematical Primer , 2002 .

[8]  Eugene M. Izhikevich,et al.  Resonate-and-fire neurons , 2001, Neural Networks.

[9]  Victor B. Kazantsev,et al.  Synaptic Coupling Between Two Electronic Neurons , 2006 .

[10]  Jean-Marie Bilbault,et al.  Experimental study of electrical FitzHugh-Nagumo neurons with modified excitability , 2006, Neural Networks.

[11]  From Clocks to Chaos: The Rhythms of Life , 1988 .

[12]  K. J Suter,et al.  Reliable control of spike rate and spike timing by rapid input transients in cerebellar stellate cells , 2004, Neuroscience.

[13]  V B Kazantsev Selective communication and information processing by excitable systems. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  R. Llinás,et al.  Uniform olivocerebellar conduction time underlies Purkinje cell complex spike synchronicity in the rat cerebellum. , 1993, The Journal of physiology.

[15]  Eugene M. Izhikevich,et al.  Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting , 2006 .

[16]  Elena Leznik,et al.  Electrotonically Mediated Oscillatory Patterns in Neuronal Ensembles: An In Vitro Voltage-Dependent Dye-Imaging Study in the Inferior Olive , 2002, The Journal of Neuroscience.

[17]  Silvina Ponce Dawson,et al.  Towards a global classification of excitable reaction–diffusion systems , 1998, patt-sol/9811003.

[18]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[19]  Victor B. Kazantsev,et al.  Experimental study of bifurcations in modified FitzHugh-Nagumo cell , 2003 .

[20]  L. Glass,et al.  From Clocks to Chaos: The Rhythms of Life , 1988 .