Computational neuroscience

Introduction — Neuromatch Academy: Computational Neuroscience

Figure 2: Examples of the four roles of supervised machine learning in neuroscience. 1 - ML can solve engineering problems. For example, it can help researchers control a prosthetic limb using brain activity. 2 - ML can identify predictive variables. For example, by using MRI data, we can identify which brain regions are most predictive for diagnosing Alzheimer’s disease (Lebedev et al. 2014). 3 - ML can benchmark simple models. For example, we can compare the predictive performance of the…

The research pinpoints for the first time the precise timing and location of minute brain changes that underlie the formation and consolidation of new memories.

Brain activity mapping with brain-computer interface technology Check more at https://syakaihoken-web.com/brain-activity-mapping-with-brain-computer-interface-technology/

Precision Neuroscience has expanded clinical research in brain–computer interface with the launch of two new study sites in the US.

Doctors have successfully used robotic technology to treat brain aneurysms. The robotic system could eventually allow remote surgery, enabling surgeons to treat brain disorders that require surgery from afar.