Lectures related to Reward-based Learning: Cellular Mechanisms

Explores the modeling of synaptic potentials and the factors influencing their amplitude.

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Explores columnar processing in the cortex, decision-making tasks, and the transition from spatial information to action.

Explores the role of ontologies in neuroscience, focusing on organizing data and defining entity properties.

Covers synaptic plasticity, types of synapses, Hebb's postulate, LTP, LTD, and network oscillations in the hippocampus.

Covers the prevalence and financial burden of brain disorders, focusing on Parkinson's disease and its treatments.

Explores Deep Brain Stimulation principles, applications, STN-DBS anatomy, surgery, effects, and technology advancements.

Explores local learning rules for representations and actions, covering synaptic plasticity, reinforcement learning, and good representations.