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For Students · Neuroscience Lab

Neuroscience Lab for a heartbeat

Built for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition. Simulate a heartbeat live below — adjust the inputs and watch it respond, right in your browser.

Hodgkin-Huxley NeuronLive

Controls

Presets

The Hodgkin-Huxley model — the Nobel-winning description of the nerve impulse — tracks voltage and the opening of sodium and potassium channels. Below a threshold current the neuron is silent; above it, it fires a train of action potentials whose rate climbs with the stimulus.

▶ Run in Python

Data Inspector

Firing rate0.0 Hz
Regimespiking
ChannelsNa⁺ / K⁺

Governing equation

Reading this result: Above threshold: each stimulus recharges the membrane fast enough to re-trigger Na⁺ channels, so the neuron fires a repetitive train whose rate rises with the current.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

Fourier Transform (FFT)Live

Controls

Build a signal from a few sine tones plus noise, and the discrete Fourier transform recovers exactly which frequencies are present — the foundation of all signal processing.

Presets

▶ Run in Python

Data Inspector

Samples256
Peaks at4, 9
TransformDFT

Governing equation

Reading this result: The FFT splits this 2-tone signal into bins: each input sinusoid at 4, 9 appears as a distinct spike, and with noise at 0 the baseline between them stays clean.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Frequently asked questions

Is this good for students?
Yes — this version of "Neuroscience Lab for a heartbeat" is framed for students learning it for a class or exam. See the concept move instead of memorizing formulas — and check your homework intuition.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.