Computational Neuroscience

Computational neuroscience uses mathematical models, algorithms, and simulations to understand brain function and neural processes. By analyzing neural networks, signal processing, and brain connectivity, it aims to replicate brain activities and predict neural behaviors. This interdisciplinary field bridges neuroscience, computer science, and engineering, offering insights into cognition, perception, and disease mechanisms. Computational models are also instrumental in developing brain-computer interfaces and advancing neurotechnologies for treatment and rehabilitation.

 

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