Energy-efficient information transfer at thalamocortical synapses.
journal contributionposted on 2021-01-28, 11:23 authored by Julia Jade Harris, Elisabeth Engl, David Attwell, Renaud Blaise Jolivet
We have previously shown that the physiological size of postsynaptic currents maximises energy efficiency rather than information transfer across the retinothalamic relay synapse. Here, we investigate information transmission and postsynaptic energy use at the next synapse along the visual pathway: from relay neurons in the thalamus to spiny stellate cells in layer 4 of the primary visual cortex (L4SS). Using both multicompartment Hodgkin-Huxley-type simulations and electrophysiological recordings in rodent brain slices, we find that increasing or decreasing the postsynaptic conductance of the set of thalamocortical inputs to one L4SS cell decreases the energy efficiency of information transmission from a single thalamocortical input. This result is obtained in the presence of random background input to the L4SS cell from excitatory and inhibitory corticocortical connections, which were simulated (both excitatory and inhibitory) or injected experimentally using dynamic-clamp (excitatory only). Thus, energy efficiency is not a unique property of strong relay synapses: even at the relatively weak thalamocortical synapse, each of which contributes minimally to the output firing of the L4SS cell, evolutionarily-selected postsynaptic properties appear to maximise the information transmitted per energy used.
Crick (Grant ID: 10153, Grant title: Schaefer FC001153)
Action PotentialsAnimalsComputational BiologyComputer SimulationEnergy MetabolismExcitatory Postsynaptic PotentialsIn Vitro TechniquesModels, NeurologicalNeuronsPatch-Clamp TechniquesRatsRats, Sprague-DawleySynaptic TransmissionThalamusVisual CortexVisual PathwaysQueriedSchaefer FC001153Bioinformatics01 Mathematical Sciences06 Biological Sciences08 Information and Computing Sciences