Brain-Computer Interfaces: Advancements in Systems Neuroscience

Related lectures (32)

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Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.

Explores miniaturized CMOS interfaces for neural signals processing and neurostimulation.

Explores neural signal processing for brain-computer interfaces, including decoding techniques like Kalman filters and spike sorting.

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Covers neural interfaces, course structure, projects, and interdisciplinary design principles.

Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

Covers neural engineering fundamentals, brain-computer interfaces, neuroprosthetics, and deep brain stimulation for enhancing human function.

Explores the neural dynamics of decision-making, focusing on algorithms and the role of dopamine in learning and behavior.