Biochemical mechanisms of dendritic nonlinearities and their application into computational models

Babik, Matthew

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https://hdl.handle.net/2142/125424 Copy

Description

Title

Biochemical mechanisms of dendritic nonlinearities and their application into computational models

Author(s)

Babik, Matthew

Issue Date

2023

Keyword(s)

• dendritic spine
• nonlinear signal transduction

Date of Ingest

2025-02-02T16:15:30-06:00

Abstract

While dendritic spines make up only a small portion of the entire neuronal system, multiple intracellular mechanisms are localized to these points to trigger unique signaling pathways. Biochemical interactions of membrane channels, intracellular protein cascades, and spine morphologies all give rise to nonlinear mechanisms of signal transduction. Large branch summation events, in which multiple incoming signals are integrated towards the soma, are mediated by these mechanisms. Information on this topic is utilized within computational studies to create accurate pyramidal neural networks. However, the methods to incorporate these nonlinear mechanisms into programs can be thoroughly debated. The purpose of this paper is to discuss the advantages and disadvantages of current approaches that incorporate nonlinear signal transduction into neuronal models

Publisher

University of Illinois Undergraduate Neuroscience Society

Type of Resource

text

Genre of Resource

article

Language

eng

Copyright and License Information

Copyright 2023 Matthew Babik

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