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AI-woordenlijst

Het complete woordenboek van kunstmatige intelligentie

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Hodgkin-Huxley model

Mathematical model describing the dynamics of neuronal action potentials through coupled differential equations representing sodium, potassium, and leak ionic currents.

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Izhikevich model

Two-dimensional neuronal model combining the dynamic richness of detailed models with computational efficiency, capable of reproducing various neuronal firing regimes.

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Membrane potential

Electric potential difference between the inside and outside of a resting neuron, typically around -70mV, maintained by ionic pumps and concentration gradients.

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Ionic currents

Flow of ions (Na+, K+, Ca2+, Cl-) through the neuronal membrane via specific channels, generating membrane potential variations.

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Voltage-dependent channels

Membrane proteins whose ionic conduction changes according to membrane potential, essential for the generation and propagation of action potentials.

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Temporal integration

Process by which a neuron combines successive synaptic inputs over time to reach the firing threshold and generate an action potential.

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FitzHugh-Nagumo model

Two-dimensional simplification of the Hodgkin-Huxley model capturing the essence of neuronal excitability through a fast voltage variable and a slow recovery variable.

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Leaky integrate-and-fire model

Simplified neuronal model describing the integration of synaptic currents with charge leakage, generating a spike when the threshold is reached.

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Morris-Lecar model

Two-variable neuronal model describing the excitability of muscles and neurons, incorporating voltage-dependent calcium and potassium currents.

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Hindmarsh-Rose model

Three-dimensional neuronal model reproducing complex dynamics including chaotic behaviors and bursting discharge patterns.

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Wilson-Cowan model

System of differential equations describing the dynamics of excitatory and inhibitory neuronal populations and their mutual interactions.

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Rulkov model

Discrete-time neuronal model efficiently capturing bursting dynamics and transitions between different neuronal discharge states.

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Mihalaş-Niebur model

Generalized discrete-time neuronal model including multiple ionic currents and capable of reproducing a wide range of neuronal dynamics.

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Excitatory postsynaptic potential (EPSP)

Gradual depolarization of the postsynaptic membrane increasing the probability of discharge, generally mediated by glutamatergic receptors.

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Inhibitory postsynaptic potential (IPSP)

Hyperpolarization or inhibitory shunt of the postsynaptic membrane decreasing the probability of discharge, involving GABA or glycine.

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Cable model

Mathematical description of the passive propagation of electrical potential in dendrites and axons treated as cylindrical cables.

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Neuronal bursting

Firing pattern characterized by rapid groups of spikes followed by silent periods, resulting from interactions between fast and slow dynamics.

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