Lectures related to Hippocampus Models: Network Dynamics

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Covers the AdEx model, firing patterns, adaptation, and parameter estimation.

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.

Delves into network oscillations in a hippocampus microcircuit, exploring theta, gamma rhythms, and ripple events.