Energy cost reduction in the synchronization of a pair of nonidentical coupled Hindmarsh-Rose neurons
This addresses energy efficiency in neural synchronization, which is incremental as it builds on existing models of coupled neurons.
The study tackled the problem of high energy costs in synchronizing nonidentical coupled neurons, showing that forced synchronization enables adaptive laws to reduce the energy flow required for maintaining synchronization.
Many biological processes involve synchronization between nonequivalent systems, i.e, systems where the difference is limited to a rather small parameter mismatch. The maintenance of the synchronized regime in this cases is energetically costly \cite{1}. This work studies the energy implications of synchronization phenomena in a pair of structurally flexible coupled neurons that interact through electrical coupling. We show that the forced synchronization between two nonidentical neurons creates appropriate conditions for an efficient actuation of adaptive laws able to make the neurons structurally approach their behaviours in order to decrease the flow of energy required to maintain the synchronization regime.