Structural Plasticity of Synapses: Applications in Neuroscience

Related lectures (32)

Page 2 of 4

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

Explores optogenetics, chemogenetics, and sonogenetics to engineer neural activity using light, chemicals, and sound.

Explains injecting current into a neuron, creating recordings, running simulations, and handling synapses.

Explores the peculiar properties, variability, optimization, and degeneracy of CA1 neurons.

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.

Covers computational neuroscience basics, single neuron models, synapses, and neural variability.

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Explores principles of data-driven modeling for simulating hippocampus microcircuits.

Explores the derivation of the cable equation for modeling dendrites in computational neuroscience.

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.