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Related lectures (12)

The Neuron: A Unique Electrical Device

Explores the neuron as a unique electrical device, focusing on synaptic potentials and spiking activity.

Stochastic spike arrival

Explores stochastic spike arrival in single neurons and the impact of network noise.

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.

Poisson Model: Rate Coding

Explores the Poisson model in computational neuroscience, emphasizing rate coding and stochastic spiking.

Compartmental Models: Active Dendrites

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

Stochastic spike firing in integrate-and-fire models

Explores stochastic spike firing in integrate-and-fire models and its impact on neural coding.

Rall's Cable Model

Explores Rall's cable model, synaptic potential spread in dendrites, and compartmental modeling for neural simulations.

Escape noise

Explores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.

Neocortical Neuron Classification

Explores neocortical neuron classification, ion channel kinetics, challenges in modeling individual cells, and data integration.

From Spiking Models to Rate Models

Explores the transition from spiking to rate models in synaptic plasticity.

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