Neuroscientists use MATLAB and Simulink to process and analyze experimental data, drive experiments, and simulate models of brain circuits. With MATLAB and Simulink, you can:
Analyze neural time-series data from electrode signal recordings
Understand structural and functional image data from neuroimaging and microscopy studies
Use machine and deep learning to classify, predict, and cluster using models trained with neuroscience data
Process and generate live data streams, including brain-computer interface (BCI) and behavioral control systems
MATLAB and Simulink products are complemented by a rich ecosystem of third-party add-ons, including many open-source software packages and hardware integrations suited or built for neuroscience applications.
Sync2brain is a startup developing brain stimulation therapies for patients with neuropsychiatric disorders. Using Simulink Real-Time, sync2brain reads and analyzes brain activity data to trigger therapeutic stimuli at specific millisecond instances.
Discover interactive and instructive live script examples illustrating signal processing, image processing, statistics, AI, and other workflows using neuroscience data.
Explore hardware products with supported MATLAB and Simulink integrations. Hardware support includes dozens of products specifically for neuroscience experimental modalities, plus general-purpose live data streaming and low-cost hardware options for custom experimental setups.
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