Neurons and Synapses: Overview

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Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Computational Neuroscience: Biophysics & Modeling

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

Quality of Integrate-and-Fire Models

Explores the quality of Integrate-and-Fire models in computational neuroscience through comparisons with experimental data and mathematical predictions.

Generalized Integrate-and-Fire Models

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.

Engineering Neurons: Light, Chemicals, Sound

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

The Neuron: A Unique Electrical Device

Explores the neuron as a unique electrical device, focusing on synaptic potentials and spiking activity.

Modeling the electrical activity of the neuron

Explores the modeling of neuron electrical activity, including ion channels and concentrations, Nernst equation, and resting potential.

Hodgkin-Huxley Model: Neuronal Excitability

Explores the Hodgkin-Huxley model, action potential phases, ion dynamics, cable theory, and compartmental modeling in neuronal excitability.

Modeling the synaptic potential

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

Parameter estimation

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