Neural Model: Assemblies of Neurons and Language Acquisition

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Engineering Neurons: Light, Chemicals, Sound

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

Neuronal Plasticity: Synaptic Changes and Brain Functioning

Explores neuronal plasticity, synaptic changes, brain functioning, and unconscious states through various mechanisms.

Compartmental Models: Active Dendrites

Explores compartmental models in computational neuroscience, focusing on active dendrites and experimental findings.

General Introduction to Artificial Neural Networks

Covers the history and inspiration behind artificial neural networks, the structure of neurons, learning through synaptic connections, and the mathematical description of artificial neurons.

Optimization of Neuroprosthetic Systems

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

Introduction to Systems Neuroscience: Memory Systems Overview

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

Parameter estimation

Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.

Networks of Spiking Neurons

Explores networks of spiking neurons, mean-field models, transfer functions, and predictions of state space and neuron behavior.

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Scientific Computing in Neuroscience

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