Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology

• Published in: Frontiers in computational neuroscience Vol. 13; p. 66
• Main Authors: Mäki-Marttunen, Tuomo, Devor, Anna, Phillips, William A, Dale, Anders M, Andreassen, Ole A, Einevoll, Gaute T
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 26.09.2019; Frontiers Media S.A
• Subjects: biophysical modeling; Calcium; Calcium channels (voltage-gated); Cell culture; Coding; Computational neuroscience; cortical excitability; Excitability; Firing pattern; Firing rate; functional genetics; Genes; Genetic diversity; Genomes; Mental disorders; Morphology; Neocortex; neuronal code; Neurons; Neuroscience; Phenotypes; Pyramidal cells; Schizophrenia; schizophrenia genetics; voltage-gated ion channel gene; La Jolla California; United States > US; Norway; biophysical modeling; prepulse inhibition; schizophrenia genetics; neuronal code; spatiotemporal integration; voltage-gated ion channel gene; cortical excitability; functional genetics

Pyramidal cells in layer V of the neocortex are one of the most widely studied neuron types in the mammalian brain. Due to their role as integrators of feedforward and cortical feedback inputs, they are well-positioned to contribute to the symptoms and pathology in mental disorders-such as schizophr...