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About the course
Neurotechnology is the discipline of engineering methods that measure, interpret and influence the activity of the nervous system, spanning the brain, spinal cord, peripheral nerves and neuromuscular system. This course presents that discipline systematically across ten chapters, from the bioelectric origin of a neural signal through to the clinical, consumer and ethical questions the field faces today.
The course begins with the foundations of neurotechnology and the electrical basis of neural activity: the resting membrane potential, the action potential, and how the same underlying activity is expressed differently depending on recording scale. It then follows a signal through acquisition and recording, including electrodes, amplification and sampling, before dedicating full chapters to EEG and evoked potentials and to EMG, nerve conduction and peripheral neurotechnology. A further chapter surveys neuroimaging, from CT and structural MRI through functional MRI, diffusion imaging, PET and multimodal methods, examining the trade-off between spatial and temporal resolution that runs through every modality.
The course then moves into computation: neural signal processing, biomarker extraction, and the machine learning and deep learning methods now used to turn raw recordings into clinically useful information. It applies these foundations to brain-computer interfaces and neuroprosthetics, covering motor-imagery, P300 and SSVEP paradigms, non-invasive and intracortical interfaces, and neuroprosthetic limbs, and to neuromodulation, covering TMS, tDCS, tACS, deep brain stimulation, vagus nerve stimulation and the shift from open-loop to closed-loop control.
The course closes by connecting neurotechnology to neurorehabilitation, wearables and digital biomarkers, and by looking ahead to AI-driven and personalized neurotechnology, implantable and bidirectional interfaces, and the privacy, safety and career questions that will shape the field's next decade. By the end of the course, participants will be able to follow a neural signal from its biological origin through acquisition, analysis, interpretation and application, across the major technologies used in neuroscience and clinical neurotechnology today.