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Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

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3D Modeling of Dendritic Spines with Synaptic Plasticity

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Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda.

J J Johannes Hjorth¹, Jeanette Hellgren Kotaleski^2,3, Alexander Kozlov^2,3

¹Science for Life Laboratory, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, SE-10044, Stockholm, Sweden. hjorth@kth.se.

Neuroinformatics

|July 20, 2021

Summary

This summary is machine-generated.

This study introduces an open-source pipeline for simulating neuronal networks, aiding brain research. The method enhances reproducible microcircuit modeling and analysis of brain data.

Keywords:

Basal ganglia Brain microcircuits Large-scale simulations Model building pipeline Striatum Synaptic connectivity

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Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

Area of Science:

Computational Neuroscience
Neuroscience

Background:

Large-scale neuronal network simulation is crucial for understanding brain function and disease.
Advancements in simulation software and neuronal data enable bottom-up prediction of microcircuit properties.
Bridging simulation scales requires comparing simulated data with experimental and top-down modeling.

Purpose of the Study:

To present an open-source pipeline for reproducible microcircuit modeling.
To facilitate the setup of simulations using the NEURON environment.
To demonstrate data curation for single neuron morphologies from public databases.

Main Methods:

Utilized the Snudda software for predicting microcircuit connectivity.
Employed the NEURON simulation environment for setting up simulations.
Illustrated data curation for neuronal morphologies.

Main Results:

Developed a reproducible pipeline for microcircuit simulation.
Successfully set up a cellular-level model of the mouse dorsal striatum.
Demonstrated the process for modeling subcortical nuclei, including the basal ganglia.

Conclusions:

The developed pipeline enables reproducible large-scale neuronal network simulations.
This approach facilitates the integration of experimental and simulated data across scales.
The methodology is applicable to modeling various subcortical brain structures.