ArticleFrontiers in computational neuroscience2019
Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology.
Article in Frontiers in computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 16 citations in OpenAlex.
- Apical integration theory provides a neural basis for understanding disorganization and consciousness in the schizophrenias.Current research in neurobiology · 2026Article
- The Electromechanical Connectome: Integrating Voltage, Mechanical Nano-Forces, and Subcellular Fluid Phase Dynamics in Human Neural Computation.International journal of molecular sciences · 2026Review
- Common Genomic and Proteomic Alterations Related to Disturbed Neural Oscillatory Activity in Schizophrenia.International journal of molecular sciences · 2025Review
- Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Agranular frontal cortical microcircuit underlying cognitive control in macaques.Frontiers in neural circuits · 2024Review
- Excitatory and inhibitory effects of HCN channel modulation on excitability of layer V pyramidal cells.PLoS computational biology · 2022Article
- Dendrites of Neocortical Pyramidal Neurons: The Key to Understand Intellectual Disability.Cellular and molecular neurobiology · 2022Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
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 schizophrenia-that are characterized by a mismatch between the internal perception and external inputs. In this modeling study, we analyze the input/output properties of layer V pyramidal cells and their sensitivity to modeled genetic variants in schizophrenia-associated genes. We show that the excitability of layer V pyramidal cells and the way they integrate inputs in space and time are altered by many types of variants in ion-channel and Ca
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