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Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations.
Simões-de-Souza, Fábio M; Antunes, Gabriela; Roque, Antonio C.
Afiliação
  • Simões-de-Souza FM; Laboratory of Neural Systems (SisNE), Department of Psychology, Faculdade de Filosofia Ciencias e Letras de Ribeirão Preto, Universidade de São Paulo Ribeirão Preto, Brazil ; Center for Mathematics, Computation and Cognition, Federal University of ABC São Bernardo do Campo, Brazil.
  • Antunes G; Laboratory of Neural Systems (SisNE), Department of Psychology, Faculdade de Filosofia Ciencias e Letras de Ribeirão Preto, Universidade de São Paulo Ribeirão Preto, Brazil.
  • Roque AC; Laboratory of Neural Systems (SisNE), Department of Physics, Faculdade de Filosofia Ciencias e Letras de Ribeirão Preto, Universidade de São Paulo Ribeirão Preto, Brazil.
Front Comput Neurosci ; 8: 128, 2014.
Article em En | MEDLINE | ID: mdl-25360108
This work consists of a computational study of the electrical responses of three classes of granule cells of the olfactory bulb to synaptic activation in different dendritic locations. The constructed models were based on morphologically detailed compartmental reconstructions of three granule cell classes of the olfactory bulb with active dendrites described by Bhalla and Bower (1993, pp. 1948-1965) and dendritic spine distributions described by Woolf et al. (1991, pp. 1837-1854). The computational studies with the model neurons showed that different quantities of spines have to be activated in each dendritic region to induce an action potential, which always was originated in the active terminal dendrites, independently of the location of the stimuli, and the morphology of the dendritic tree. These model predictions might have important computational implications in the context of olfactory bulb circuits.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça