hhmi.org/biointeractive
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HHMI BioInteractive offers free, interactive biology resources—animations, videos, virtual labs, and lesson plans—that explain neurophysiology concepts and neuroscience experiments for students and educators.
More resources on Neurophysiology
NeuronIF
Yale-developed simulation environment by Michael Hines and Ted Carnevale for building biophysically detailed models of single neurons and networks, scripted in Python or hoc. Includes documentation and tutorials for simulating membrane potentials, ion channel kinetics, and synaptic input.
NeuroElectro
Literature-mined database of electrophysiological measurements, such as resting membrane potential, input resistance and spike properties, compiled from published papers for many neuron types. Use it to compare how neuron classes differ and to find source studies for model parameters.
Allen Brain Atlas
The Allen Institute's portal to open brain-mapping datasets: gene expression atlases, cell type databases, connectivity maps, and viewers for human, mouse, and non-human primate brains. Useful once you need primary data rather than textbook summaries.
Introduction to Neural Computation (MIT 9.40)
Quantitative models of brain function: mathematical descriptions of neurons, responses to sensory stimuli, simple networks, statistical inference and decision making, plus analysis tools such as convolution, spectral analysis and principal components. Includes 20 lecture videos, slides and problem sets.
Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
HarvardX's first of three courses on neuroscience, covering the electrical behavior of single neurons: resting potential, action potentials, and synaptic transmission. Includes an interactive neuron simulator so learners can model how membrane currents produce firing.
From Neuron to Brain
Third edition (1992) of the classic cellular neuroscience textbook, explaining nervous system function from ion channels and membrane biophysics through synaptic transmission, development, sensory systems and motor control. Grounded in key experiments, it teaches how neurons signal and communicate.