Work

An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting

Year: 2018

Type: article

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI: 10.1109/tnsre.2018.2830354

Authors: Tao Xiong, Jie Zhang, Clarissa Martinez-Rubio, Chetan S. Thakur, Emad N. Eskandar, Sang Peter Chin, Ralph Etienne-Cummings, Trac D. Tran

Institutions: Johns Hopkins University, Massachusetts Institute of Technology, National Parkinson's Foundation, Indian Institute of Science Bangalore, Massachusetts General Hospital

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Office of Scientific Research

Awards: G1611353406, ATD: Online Multiscale Algorithms for Geometric Density Estimation in High-Dimensions and Persistent Homology of Data for Improved Threat Detection

OpenAlex ID: W2802154369

FWCI: 1.288

Cites: 37

Cited by: 24

Related to: 10