Research Topic · Peer-Reviewed

Computational Neuroscience

Computational Neuroscience is the study of the nervous system and brain by creating computer models to better understand the mechanisms underlying brain function and behavior. This discipline utilizes theoretical and experimental techniques from diverse fields such as mathematics, physics, engineering, computer scie…

📚 0 peer-reviewed articles cited 🔖 ISSN 2694-1201 🗓 Reviewed July 2026

Overview

Computational Neuroscience is the study of the nervous system and brain by creating computer models to better understand the mechanisms underlying brain function and behavior. This discipline utilizes theoretical and experimental techniques from diverse fields such as mathematics, physics, engineering, computer science, and cognitive science to explain aspects of the brain and how these are related to behavior. By using computational techniques, researchers can investigate how networks of neurons interact to generate complex behaviors and how changes in underlying mechanics influence the way neurons behave. This research can be used to improve the understanding of mental health disorders, traumatic brain injuries, neurodegenerative diseases, and other neurological conditions. Additionally, computational neuroscience research can be used to inform and guide the development of new neurotechnologies and treatments.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Spine and Neuroscience yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Spine and Neuroscience (ISSN 2694-1201).

Journal editorial board
Barbara Poletti · Italy Ian James Martins · Australia Domenico Chirchiglia · Italy

This page summarises published research for orientation; it is not medical or professional advice.