Non-spiking neuron

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Related lectures (32)

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Reduction of Hodgkin-Huxley to 2D

Explores reducing the Hodgkin-Huxley model to a two-dimensional neuron model.

Optimising Neuron Models: eFEL and BluePyOpt

Introduces eFEL and BluePyOpt for optimizing neuron models with experimental data, using evolutionary algorithms.

Electrical Modeling of Neurons

Explores the mathematical framework and challenges of modeling neurons, discussing passive and active membrane mechanisms and the representation of the membrane as an electrical circuit.

Hippocampus Single Cell Models

Delves into the modeling of CA1 pyramidal cells in the hippocampus, revealing their complex computational abilities.

Neuron Classification: Types and Challenges

Explores neuron classification, highlighting the importance of understanding brain complexity and the challenges in defining cell types.

Introduction to Modelling Microcircuitry

Introduces the pipeline of modelling microcircuits, exploring spatial scales and levels of modelling.

Compartmental Models: Active Dendrites

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

Associative Memory: Magnetic Materials

Explores the dynamics of associative memory in networks of neurons and includes a detour into magnetic materials.

Neuron Models: Type I and Type II

Explores two-dimensional neuron models, Type I and Type II, discussing firing thresholds and Hopf bifurcation.