Neuroscientists seek to understand brain structure and function at every physical scale: from molecules to neurons to whole brains. From brain mapping (macroscale) to cellular neuroscience (microscale), typical experimental studies follow similar workflows. These begin with collecting data (signals, images, timing events) from many individual trials and subjects, followed by raw data processing, and analysis of complex data sets to identify statistically meaningful patterns. To guide their hypotheses, scientists create increasingly sophisticated models to predict the principles of brain function.
For neuroscientists tackling these challenges, MATLAB® helps at every step. It can coordinate experiments, process noisy signals, wrangle complex data, and build and simulate detailed models of brain circuits. MATLAB uses fast, robust implementations of proven algorithms from signal processing, computer vision, machine learning, and other fields. MATLAB enables neuroscientists to manage their growing data volumes and to access research computing resources for large-scale analyses and simulations.
Neuroscientists are increasingly collaborating across the globe. They are creating, sharing, and using MATLAB community toolboxes and apps for neuroscience. And they are working with industry, building upon MATLAB enabled products designed for neuroscience research.
Learn more about research with MATLAB and Simulink.
- Neuroscience shows blind people can "see" a physical space by listening
- Using machine learning to predict epileptic seizures from EEG data
- Neuroscience and machine learning restore movement in paralyzed man’s hand
- Autism study tracking eye movement uses MATLAB to find possible cause of sensory overload