Identification of Synaptic Integration Mode in CA3 Pyramidal Neuron Model

Abstract : 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.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02152505
Contributeur : Caps - Université de Bourgogne <>
Soumis le : mardi 11 juin 2019 - 15:21:19
Dernière modification le : jeudi 13 juin 2019 - 01:31:32

Identifiants

  • HAL Id : hal-02152505, version 1

Collections

Citation

Jhunlyn Lorenzo, Roman Vuillaume, Steephane Binczak, Sabir Jacquir. Identification of Synaptic Integration Mode in CA3 Pyramidal Neuron Model. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), Mar 2019, San Francisco, France. pp.465-468. ⟨hal-02152505⟩

Partager

Métriques

Consultations de la notice

8