Active spike transmission in the neuron model with a winding threshold manifold

نویسندگان

  • Viktor B. Kazantsev
  • Aurélien Serge Tchakoutio Nguetcho
  • Sabir Jacquir
  • Stéphane Binczak
  • Jean-Marie Bilbault
چکیده

We analyze spiking responses of excitable neuron model with a winding threshold manifold on a pulse stimulation. The model is stimulated with external pulse stimuli and can generate nonlinear integrateand-fire and resonant responses typical for excitable neuronal cells (all-or-none). In addition we show that for certain parameter range there is a possibility to trigger a spiking sequence with a finite number incoming pulses to M (with M4N) outgoing spikes is possible. At the level of single neuron computations such property can provide an active ‘‘spike source’’ compensating ‘‘spike dissipation’’ due to the integrate-and-fire N to 1 response. We delineate the dynamical mechanism for the N to M transformation based on the winding threshold manifold in the neighborhood of big saddle loop bifurcation. Based on the theoretical predictions, a nonlinear electronic circuit is designed implementing the active transmission in physical conditions. & 2012 Elsevier B.V. All rights reserved.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Role of STDP in regulation of neural timing networks in human: a simulation study

Many physiological events require an accurate timing signal, usually generated by neural networks called central pattern generators (CPGs). On the other hand, properties of neurons and neural networks (e.g. time constants of neurons and weights of network connections) alter with time, resulting in gradual changes in timing of such networks. Recently, a synaptic weight adjustment mechanism has b...

متن کامل

Role of STDP in regulation of neural timing networks in human: a simulation study

Many physiological events require an accurate timing signal, usually generated by neural networks called central pattern generators (CPGs). On the other hand, properties of neurons and neural networks (e.g. time constants of neurons and weights of network connections) alter with time, resulting in gradual changes in timing of such networks. Recently, a synaptic weight adjustment mechanism has b...

متن کامل

Reduced order model for doubly output induction generator in wind park using integral manifold theory

A dynamic reduced order model using integral manifold theory has been derived, which can be used to simulate the DOIG wind turbine using a double-winding representation of the generator rotor. The model is suitable for use in transient stability programs that can be used to investigate large power systems. The behavior of a wind farm and the network under various system disturbances was stu...

متن کامل

Comparison of the effect of quasitrapezoidal and rectangular pulses on bio- electrical activity, calcium spike properties and afterhyperpolarization potentials of Fl cells of Helix aspersa using intracellular recording

  While the effect of changes of stimulus waveform (quasitrapezoidal and rectangular current pulses) on nerve activation is clear, but there is no evidence on the effect of quasitrapezoidal pulses on ionic currents of cellular membrane. In the present study, the effect of depolarizing quasi-trapezoidal current pulses, in comparison with that of depolarizing rectangular current pulses, on firing...

متن کامل

Modification of Nifedipine Inhibitory Effect on Calcium Spike and L-Type Calcium Current by Ethanol in F1 Neuron of Helix aspersa

There is strong evidence demonstrating that nifedipine dissolved in ethanol selectively inhibits only L-type Ca2+ current. In addition, acute ethanol exposure reduces voltage-dependent calcium currents. In the present study, we investigated the antagonistic effect of fixed concentration of nifedipine dissolved in different concentration of ethanol on L-type Ca2+ current. In a Na+-K+ free soluti...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Neurocomputing

دوره 83  شماره 

صفحات  -

تاریخ انتشار 2012