Neuroengineering training resources
1. Neural data analysis 2. Computational neuroscience 3. Statistics 4. Deep learning 5. Stimulus presentation framework 6. BCI framework
Ph.D. Candidate researching clinical neuroengineering at UT Austin
1. Neural data analysis 2. Computational neuroscience 3. Statistics 4. Deep learning 5. Stimulus presentation framework 6. BCI framework
Neural decoders can classify neural signal to characterize or predict responses from the brain, spinal cord, or peripheral nervous system. Their role is fundamental for building a brain-machine interfaces (BMI) which have clinical potential to assist or treat neurological or psychiatric patients. In this post, we’ll be building an event-related potential (ERP) decoder that detects … Read more