Latest Features

Explore the latest MATLAB and Simulink features for neuroscience


Analyze electrode recordings, from the intracellular to the extracranial.

Related Products: Deep Learning ToolboxSignal Processing ToolboxWavelet Toolbox

Neuroimaging and Microscopy

Understand structural and functional image data, from the microscopic to the macroscale.

Related Products: Computer Vision ToolboxImage Processing ToolboxDeep Learning ToolboxWavelet Toolbox

Machine Learning

Train models to learn from neuroscience data.

  • Deep Learning: Use CNN and LSTM models for classification and regression tasks on image and signal data
  • Deep Learning: Use interactive, semi-automated ground truth labeling apps for image and video data
  • Apps: Use interactive apps to apply machine learning algorithms for classification and regression
  • Bayesian Optimization: Optimize performance of machine learning and deep learning algorithms
  • Dimensionality Reduction: Apply feature extraction or feature selection prior to machine learning
  • Multidimensional Visualization: Visualize high-dimensional data using t-SNE

Related Products: Deep Learning Toolbox, Parallel Computing ToolboxStatistics and Machine Learning Toolbox

Neural Data Science

Create and share neuroscience data stories.

Experiment Control

Process live subject data for BCIs and behavioral control systems.

  • Performance: Run existing MATLAB code over 2x faster
  • MATLAB Coder: Translate over 2000 MATLAB functions to ANSI C or C++ code
  • Data Acquisition Toolbox: Build custom adaptors to third-party hardware devices
  • Multithreading: Call MATLAB asynchronously from user-created threads using the C++ engine API

Related Products: Data Acquisition ToolboxMATLAB CoderStateflowSimulink Real-Time