Intracortical Electrode Arrays to Movement Intention Decoders
Simulate decoding of neural signals into intended movement using basic linear models.
Decoding Summary:
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- Confidence Estimate: %
Tutorial
This simulation demonstrates how intracortical electrode arrays record neural activity and how it can be decoded into intended movement direction and magnitude using simple linear models.
- Enter simulated neuron firing rates (in Hz) — one per line.
- Select a decoding algorithm: Wiener Filter or Linear Regression.
- Click “Decode Movement” to estimate the intended movement vector.
- The canvas displays the predicted 2D movement intention.
- You can then download the results and visualization as a PDF.
Note: This is a simplified model for educational purposes only.
About This Tool
This decoder illustrates the transformation from neural signals to movement intention — a core principle in brain-computer interface research. The tool uses a linear mapping between simulated neuron firing rates and a 2D movement output space, similar to early BCI decoding paradigms.
Applications include motor prosthetics, assistive technology, and neuroscience education.
