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 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.

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6 article(s) found

Computational EPAS1 rSNP Analysis, Transcriptional Factor Binding Sites and High Altitude Sickness or Adaptation

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Computational STAT4 rSNP Analysis, Transcriptional Factor Binding Sites and Disease

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Retinal and Cortical Contributions to Excessive V1 Neuron Firing Rate Variability in Schizophrenia: A Computational Modeling Analysis

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Neuroscience Theories, Hypothesis and Approaches to ASD Physiopathology. A Review

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Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV

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Computational Systemic Biology for Toxicity Studies: A Mini Review of Previously Published Articles

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