The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.
This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
This lecture covers describing and characterizing an input-output relationship.
Part 1 of 2 of a tutorial on statistical models for neural data
Part 2 of 2 of a tutorial on statistical models for neural data.