Latest Features

Explore the latest MATLAB features relevant for neuroscience

Analyze neural, physiological, and behavioral time-series data.

Time-Frequency Analysis: Compute short-time Fourier or continuous wavelet transforms and time-varying coherence between signals
Multi-Resolution Analysis: Separate signal components with wavelet-based or data-adaptive multiresolution analysis techniques
Signal Analyzer App: Visualize, process, and analyze signal data interactively
Feature Extraction: Automatically extract deep features from time-series data using a wavelet scattering framework
Signal Labeling: Label signals automatically and interactively, and visualize labeled signals, with the Signal Labeler app
Deep Learning: Apply LSTM networks and CNNs with time-frequency analysis for signal classification and prediction tasks

Analyze images, volumes, and videos at the neuron, brain, and subject scales.

Neuroimaging and Microscopy Data: Access image slices and volumes from 3-D NIfTI and TIFF files
Volumetric Data: View labeled volumetric data interactively with the Volume Viewer app, extract image slices, including at oblique angles, and apply over 70 process 3-D image processing functions
Big Image Data: Represent and process images that are too large to fit in memory, including labeled and multiple resolution image data
Image Labeling: Apply and view labels to image data via ROI objects and the interactive Image Labeler and Video Labeler apps
Deep Learning: Apply 2D and 3D CNN models for object detection and semantic segmentation and LSTM models for video classification

Create, train, and run predictive models for neuroscience data.

Deep Learning Experiments: Compare networks trained under various conditions with the Experiment Manager app
Framework Interoperability: Import and export deep learning models from and to other frameworks via the ONNX model format
Deep Learning Customization: Build custom training loops and custom layers more easily with automatic differentiation
Machine Learning: Discover clusters and noise in data with the DBSCAN algorithm
Multidimensional Visualization: Visualize high-dimensional data using t-SNE

Create, share, and scale data analyses.

Graphics: Flexible data distribution plots such as swarm and box charts
Graphics: Export graphics for use in scientific publications
Live Editor: Create rich documents combining code, text, figures, interactive controls, animations, and more
Unlimited Parallel Computing: MATLAB Parallel Server supports unlimited scaling for every user on campus
Cloud Computing: Apply your campus license to run and scale MATLAB in the cloud, including connections to remote data sources such as Amazon S3 and Hadoop HDFS

Process live signals for brain recordings, behavioral control systems, and BCIs.

Stateflow: Graphically design state machine logic for behavioral control systems, runnable in MATLAB or Simulink
MATLAB Coder: Translate over 3000 MATLAB and toolbox functions to ANSI C or C++ code for faster performance and real-time applications
HDL Coder: Target FPGA hardware for video processing and closed-loop experiments using high-level MATLAB or Simulink programming
Multithreading: Call MATLAB asynchronously from user-created threads using the C++ engine API
Performance: Run existing MATLAB code over two times faster

Students and Researchers

Your university may already provide full access to all products through a Campus-Wide License.

Talk to our neuroscience experts about your application requirements.

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