Parameter estimation

Related lectures (30)

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Explores firing thresholds in 2D neuron models, pulse input, delayed spike initiation, and the FitzHugh-Nagumo model.

Introduces linear regression, generalized linear models, and mixed-effect models for regression analysis.

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Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Explores the concept of separation of time scales in computational neuroscience and the reduction of detail in two-dimensional neuron models.

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

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

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Covers NeuroM basics, including checking neuron quality, extracting morphometrics, and visualizing neurons in different formats.

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