Lectures related to Escape noise

Interspike Intervals & Renewal Processes MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores interspike intervals, renewal processes, and escape noise experiments in neuronal dynamics.

Comparison of Noise Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Poisson Model: Rate Coding MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Membrane potential fluctuations MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores stochastic spike arrival and membrane potential fluctuations in single neurons.

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.

Spike Response Model (SRM)MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Three definitions of rate code MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.

Parameter estimation MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores parameter estimation in neuron models, focusing on quadratic optimization and linear fit.

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.

Models and data MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Covers the optimization of neuron models for coding and decoding in computational neuroscience.

Quality of Integrate-and-Fire Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the quality of Integrate-and-Fire models in computational neuroscience through comparisons with experimental data and mathematical predictions.

Stochastic spike arrival MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Generalized Integrate-and-Fire Models MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

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

Likelihood of a spike train MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Discusses the likelihood of spike trains based on generative models and log-likelihood calculations from observed data.

Scientific Computing in Neuroscience

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

Modeling in vitro data MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores modeling in vitro data for computational neuroscience, including predicting subthreshold voltage and spike times.

Neuronal Dynamics: Random Networks MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the dynamics of neuronal populations, emphasizing random networks and mean-field arguments for connectivity.

From diffusive noise to escape noise MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Compares diffusive noise and escape noise in neuronal dynamics, focusing on simulation and calculation complexity.

Leaky Integrate-and-Fire Model MOOC: Neuronal Dynamics - Computational Neuroscience of Single Neurons

Explores the Leaky Integrate-and-Fire Model in computational neuroscience, emphasizing single neuron dynamics.

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.