6533b829fe1ef96bd128a48c
RESEARCH PRODUCT
Identification of Synaptic Integration Mode in CA3 Pyramidal Neuron Model
Sabir JacquirRoman VuillaumeJhunlyn LorenzoSteephane Binczaksubject
MorphologyShaftsionic channelsResistancereceptorstwo-layer networksynaptic integration modesimple CA3 pyramidal neuronSynapselinear integrationdendritic arbormedicinesynaptic locationsCA3 pyramidal neuron model[SDV.IB] Life Sciences [q-bio]/BioengineeringNeuronsbiomembrane transportcomputational powerPhysicssubthreshold input-output transformationSynaptic integrationSubthreshold conductionmorphologically realistic modelMode (statistics)Linearitypaired-pulse stimulation protocolactive channelsanisotropic modelNonlinear systemmedicine.anatomical_structurenervous systemsublinear integrationCa3 pyramidal neuronbioelectric phenomena[SDV.IB]Life Sciences [q-bio]/BioengineeringAction potentialsNeuronneurophysiologysupralinear integrationNeuroscienceNeckProtocolsdescription
International audience; A morphologically realistic and anisotropic model of CA3 pyramidal neuron was developed to determine the synaptic integration modes the neuron is able to perform. Linearity and nonlinearity were identified in different synaptic locations with varying active mechanisms such as the presence of ionic channels in the dendritic arbor and the types of receptors in the synapse. Quantification of synaptic integration was performed using paired-pulse stimulation protocol and subthreshold input/output (sI/O) transformation. Results show that the mode of synaptic integration is location-dependent while the linearity or nonlinearity in the integration is mainly influenced by the active channels and receptors in the neuron. A simple CA3 pyramidal neuron could therefore be considered as a two-layer network of neurons. Its computational power is enhanced by performing linear, sublinear and supralinear integration.
year | journal | country | edition | language |
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2019-03-20 | 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) |