Lectures related to Stochastic spike arrival

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.

Stochastic spike firing in integrate-and-fire models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Engineering Neurons: Optogenetics

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

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Variability of Spike Trains MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the variability of spike trains in computational neuroscience, covering experiments, sources of variability, and stochastic spike arrival and firing.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

In vivo electrophysiology MOOC: Cellular Mechanisms of Brain Function

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

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

In Silico Neuroscience: Ion Channels and Neuronal Models

Explores detailed modeling of ion channels and neuronal morphologies in in silico neuroscience, covering neuron classification, ion channel kinetics, and experimental observations.

Simplified Neuron Models: Analytical Approachability

Explores simplified neuron models, focusing on random walk behavior and its implications on spiking activity.

Modeling the electrical activity of the neuron MOOC: Simulation Neurocience

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

Rall's Cable Model MOOC: Simulation Neurocience

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

Modeling Neuronal Activity

Explores modeling neuronal activity, including firing rates, responses to stimuli, and network behavior.

Neural Signals: Properties and Recordings

Explores the mechanical and electrical properties of neural tissues, including the brain and spinal cord, as well as the recording of neural signals using various techniques.

Resting Membrane Potential

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

Membrane Potential: Electrical Properties of Neurons

Covers membrane potential, its measurement, and the equations governing ionic movement in neurons.

Understanding Synaptic Transmission

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Neural Signals and Signal Processing Log in to Mediaspace to watch this video

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

Engineering Neurons: Light, Chemicals, Sound Log in to Mediaspace to watch this video

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

Neural System Organization Log in to Mediaspace to watch this video

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