Random perturbations of spiking activity in a pair of coupled neurons

We examine the effects of stochastic input currents on the firing behaviour of two coupled Type 1 or Type 2 neurons. In Hodgkin–Huxley model neurons with standard parameters, which are Type 2, in the bistable regime, synaptic transmission can initiate oscillatory joint spiking, but white noise can terminate it. In Type 1 cells (models), typified by a quadratic integrate and fire model, synaptic coupling can cause oscillatory behaviour in excitatory cells, but Gaussian white noise can again terminate it. We locally determine an approximate basin of attraction, $${{\mathcal{A}}},$$ of the periodic orbit and explain the firing behaviour in terms of the effects of noise on the probability of escape of trajectories from $${{\mathcal{A}}}.$$

[1]  X. Yu,et al.  Studies with spike initiators: linearization by noise allows continuous signal modulation in neural networks , 1989, IEEE Transactions on Biomedical Engineering.

[2]  G. E. Alexander,et al.  Neuron Activity Related to Short-Term Memory , 1971, Science.

[3]  H. Robinson,et al.  Threshold firing frequency-current relationships of neurons in rat somatosensory cortex: type 1 and type 2 dynamics. , 2004, Journal of neurophysiology.

[4]  S. -. Lee,et al.  Parameter dependence of stochastic resonance in the stochastic Hodgkin-Huxley neuron. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  Boris S. Gutkin,et al.  Dynamics of Membrane Excitability Determine Interspike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics , 1998, Neural Computation.

[6]  M. Fuortes,et al.  Potentials recorded from the spinal cord with microelectrodes , 1955, The Journal of physiology.

[7]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[8]  Boris S. Gutkin,et al.  Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity , 2001, Journal of Computational Neuroscience.

[9]  A. Dembo,et al.  Large Deviation Techniques and Applications. , 1994 .

[10]  Boris S. Gutkin,et al.  Noise delays onset of sustained firing in a minimal model of persistent activity , 2004, Neurocomputing.

[11]  J. Casado,et al.  Phase switching in a system of two noisy Hodgkin-Huxley neurons coupled by a diffusive interaction. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  M. Freidlin,et al.  Random Perturbations of Dynamical Systems , 1984 .

[13]  G. Ermentrout,et al.  Analysis of neural excitability and oscillations , 1989 .

[14]  Henry C. Tuckwell,et al.  Stochastic processes in the neurosciences , 1989 .

[15]  A. Hodgkin The local electric changes associated with repetitive action in a non‐medullated axon , 1948, The Journal of physiology.