Concept

Threshold potential

Related lectures (32)

Explores the particle in a central potential and its mathematical framework.

Neural Signals and Signal Processing: Modeling and Simulation

Covers the fundamentals of neural signals and signal processing, focusing on modeling and simulation of neural systems.

Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.

Resting Membrane Potential

Discusses resting membrane potential, ion channels, and the Na+/K+ pump.

The action potential

Covers the Hodgkin and Huxley model for ion conductance and the ionic basis of the action potential.

Neural Cell Membrane Dynamics

Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.

Engineering Neurons: Optogenetics

Explores the engineering of neurons using light, chemicals, and sound to modulate neural activity and behavior.

Action Potentials and Electrical Excitability

Explores the generation and propagation of action potentials in neurons, including the historical significance of Hodgkin & Huxley's work.

Neuronal Signaling: Action Potentials and Conduction

Covers the terminology, generation, and conduction of action potentials in neuronal signaling, along with bioelectric signals and synaptic currents.

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including data structure organization and action potential detection.

Threshold in the Hodgkin-Huxley Model

Explores the firing threshold in the Hodgkin-Huxley model and the behavior of neurons under different current inputs.

Biological Electricity: Action Potential Propagation and Modeling

Explores action potential propagation, membrane modeling, conductance, and encoding signals through action potential trains.

Hodgkin-Huxley Model: Neuronal Excitability

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

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Computational Neuroscience: Biophysics

Covers modern neuroscience synthesis, biophysical modeling, and brain building blocks with practical applications.

Modeling the electrical activity of the neuron

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

In vivo electrophysiology

Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.

Cellular Mechanisms of Brain Function

Explores cellular mechanisms of brain function, focusing on ion channels and action potentials.

Colloid Stability: DLVO Theory and Membrane Potential

Explores the DLVO theory and membrane potential to understand colloid stability and forces between charged surfaces.

Optimising Neuron Models: eFEL and BluePyOpt

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