Modeling in vitro data

Related lectures (32)

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Explores the AdEx neuron model, analyzing firing patterns and phase planes.

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

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

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

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

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

Covers the fundamentals of computational neuroscience, focusing on biophysics and modeling.

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

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

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