Membrane potential fluctuations

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Simplified Neuron Models: Analytical Approachability

Explores simplified neuron models, focusing on random walk behavior and its implications on spiking activity.

Variability of Spike Trains

Explores the variability of spike trains in computational neuroscience, covering experiments, sources of variability, and stochastic spike arrival and firing.

Modeling the electrical activity of the neuron

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

Understanding Neuron Electrical Properties: Ion Transport Mechanisms

Covers the electrical properties of neurons, focusing on ion transport mechanisms and their role in generating electrical signals.

Generalized Integrate-and-Fire Models

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

Membrane Potential: Electrical Properties of Neurons

Covers membrane potential, its measurement, and the equations governing ionic movement in neurons.

Scientific Computing in Neuroscience

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

AdEx model: Firing patterns and phase plane analysis

Explores the AdEx neuron model, analyzing firing patterns and phase planes.

Three definitions of rate code

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.