This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
The mechanisms behind changes in synaptic function created by learning.
This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.
This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.
Introductory presentation on how data science can help with scientific reproducibility.