Exploring Neural Information and Generating Model-based Analysis: Neural Recordings, Temporal Dynamics and Deep Learning with Python
A framework for predicting neural dynamics from experimental data with deep learning
Understanding neuromodulatory dynamics and impact on behavior is incomplete despite extensive research. We provide a novel tool-kit to extract bidirectionally predictive behavioral features and neural activity. Through application we aim to understand and extract unanticipated neural correlates, aid in the the discovery of insights into its temporal dynamics and predictive features, and advance knowledge in health and disease.
| note that ENIGMA is currently a work in progress and updated on a daily basis. If you would like to contribute please reachout to me at michael.schaid@northwestern.edu
This project is licensed under the MIT License - see the LICENSE file for details.
The documentation for the ENIGMA project is coming soon
The ENIGMA project requires Python 3.11.