title: Energy efficiency of information transmission by electrically coupled neurons.
abstract: The generation of spikes by neurons is energetically a costly process. This paper studies the consumption of energy and the information entropy in the signalling activity of a model neuron both when it is supposed isolated and when it is coupled to another neuron by an electrical synapse. The neuron has been modelled by a four-dimensional Hindmarsh-Rose type kinetic model for which an energy function has been deduced. For the isolated neuron values of energy consumption and information entropy at different signalling regimes have been computed. For two neurons coupled by a gap junction we have analyzed the roles of the membrane and synapse in the contribution of the energy that is required for their organized signalling. Computational results are provided for cases of identical and nonidentical neurons coupled by unidirectional and bidirectional gap junctions. One relevant result is that there are values of the coupling strength at which the organized signalling of two neurons induced by the gap junction takes place at relatively low values of energy consumption and the ratio of mutual information to energy consumption is relatively high. Therefore, communicating at these coupling values could be energetically the most efficient option.
authors.affiliation: Departmentof Computer Science, University of the Basque Country, Manuel de Lardizabal 1, 20018 San Sebastian, Spain. francisco.torrealdea@ehu.es
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: Torrealdea
authors.forename: Cecilia
authors.initials: C
authors.lastname: Sarasola
authors.forename: Alicia
authors.initials: A
authors.lastname: d'Anjou
authors.forename: Abdelmalik
authors.initials: A
authors.lastname: Moujahid
authors.forename: N Vélez
authors.initials: NV
authors.lastname: de Mendizábal
mesh_terms: D000465:Algorithms; D000818:Animals; D004558:Electric Stimulation; D004735:Energy Transfer; D017629:Gap Junctions / Q000502:physiology*; D006801:Humans; D007700:Kinetics; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D009435:Synaptic Transmission / Q000502:physiology*