Abstract
We have built universal central pattern generator
(CPG) hardware by interconnecting Hodgkin-Huxley neurons with
reciprocally inhibitory synapses. We investigate the dynamics of
neuron oscillations as a function of the time delay between current
steps applied to individual neurons. We demonstrate stimulus
dependent switching between spiking polyrhythms and map the phase
portraits of the neuron oscillations to reveal the basins of attraction of
the system. We experimentally study the dependence of the attraction
basins on the network parameters: The neuron response time and the
strength of inhibitory connections.
(CPG) hardware by interconnecting Hodgkin-Huxley neurons with
reciprocally inhibitory synapses. We investigate the dynamics of
neuron oscillations as a function of the time delay between current
steps applied to individual neurons. We demonstrate stimulus
dependent switching between spiking polyrhythms and map the phase
portraits of the neuron oscillations to reveal the basins of attraction of
the system. We experimentally study the dependence of the attraction
basins on the network parameters: The neuron response time and the
strength of inhibitory connections.
Original language | English |
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Pages (from-to) | 721-724 |
Journal | International Journal of Mathematical, Computational, Natural and Physical Engineering |
Volume | 8 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2014 |