Random pulse induced synchronization and resonance in uncoupled non-identical neuron models

Area of Science:

• Computational Neuroscience
• Nonlinear Dynamics
• Biophysics

Background:

• Random pulses influence neuron firing, contributing to phenomena like stochastic resonance and synchronized excitation.
• Understanding how pulse characteristics affect synchronization in uncoupled neuron models is crucial for neuroscience.

Purpose of the Study:

• To investigate concurrent phenomena of phase synchronization and stochastic resonance in uncoupled non-identical Hodgkin-Huxley neuron models.
• To analyze the impact of a weak common random pulse, drawn from a gamma distribution, on neuron synchronization.

Main Methods:

• Utilized Hodgkin-Huxley type neuron models that are uncoupled and non-identical.
• Employed a weak common random pulse selected from a gamma distribution to study its effect on neuron dynamics.
• Varied the shape parameter of the gamma distribution to assess its influence on synchronization.

Main Results:

• A low shape parameter of the random pulse induced well-synchronized spiking in the uncoupled neuron models.
• High shape parameters of the random pulse or weak periodic pulses resulted in lower degrees of synchronization.
• Concurrent inputs of periodic and random pulses with high shape parameters improved synchronization.
• The output pulse synchronized with the periodic pulse, and the random pulse exhibited periodic responses.

Conclusions:

• The shape parameter of weak random pulses critically determines the degree of synchronization and stochastic resonance in neuron models.
• Specific pulse characteristics can induce synchronized spiking and periodic responses in uncoupled neuron networks.
• Combined periodic and random inputs can enhance neuronal synchronization, offering insights into neural information processing.