Introduction to the central concepts of machine learning, and how they can be applied in Python using the Scikit-learn Package. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.

Part 1 of 2 of a tutorial on statistical models for neural data

What is the difference between attention and consciousness? This lecture describes the scientific meaning of consciousness, journeys on the search for neural correlates of visual consciousness, and explores the possibility of consciousness in other beings and even non-biological structures.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The ionic basis of the action potential, including the Hodgkin Huxley model. 

Introduction to the course Cellular Mechanisms of Brain Function.

The composition of the cell membrane.

Spatiotemporal dynamics of the membrane potential.

Action potential initiation and propagation.

Synaptic transmission and neurotransmitters

Neurotransmitter release in the presynaptic specialization.

Presynaptic short-term dynamics and plasticity.

Synaptic modulation through diffusing neurotransmitters.

Investigating the structure of synapses with electron microscopy.

Glutamatergic transmission.

Glutamate release after an action potential. Resulting post-synaptic potentials in a biophysically realistic situation.

Glutamatergic excitatory neuronal circuits.

The mechanisms behind changes in synaptic function created by learning.