Feature of the Day
(20181217) Meysam Golmohammadi attended the International Conference on Machine Learning and Applications (ICMLA) and presented his paper on Deep Architectures for Spatio-Temporal Modeling.
(20181206) NEDC TUH EEG Artifact Corpus (v1.0.0): This is our first release of the TUH EEG Artifact Corpus. This corpus was developed to aid in EEG event classification such as seizure detection algorithms.
(20181201) Congratulations to our team for hosting IEEE SPMB 2018. We had a lot of wonderful papers and posters presented, as well as two excellent plenary talks. The technical program can be found here.
The Neural Engineering
The Neural Engineering Data Consortium generates and curates big data resources to support application of state of the art machine learning algorithms to bioengineering problems. We distribute a variety of resources including signal and image data, software to facilitate common evaluations and visualization tools. To learn more, contact us or visit our site.Read More