Stochastic spike firing in integrate-and-fire models

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

Covers the Spike Response Model (SRM) in computational neuroscience and its relation to the adaptive leaky integrate-and-fire model.

Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.

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

Explores various electrode types for neural signal recording and their applications in in-vivo and in-vitro settings.

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

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

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

Explores the biophysical understanding of neuronal behavior, focusing on action potentials, neuron modeling challenges, and dendritic inhibition.

Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.

Explores electronic, thermomechanical, and amplifier noise, calibration of amplitude, frequency tracking, and system limits.

Explores the organization of the nervous system, including neuron structure, synapses, neurotransmitters, and neural circuits.

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