Single Neuron Data Collection Techniques

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Explores the study of single neurons, challenges in classification, and obtaining high-resolution data.

Explores data strategies for building neural circuits in simulation neuroscience.

Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.

Explores electrophysiology principles, ion channels modulation, recording techniques, and analysis of cellular activity.

Covers preparing brain slices, visualizing neurons, and whole-cell recordings in cellular neuroscience.

Explores various electrode types for neural signal recording and their applications in in-vivo and in-vitro settings.

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

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

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

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