|
Josh Thackray
Josh is spearheading all the AI-based approaches to scale rodent behavior. Josh has 7+ years of experience working with high dimensional data for the Human Genetic Institute of New Jersey. In the Abraira lab he has implemented the apparatus, systems, and methods for unsupervised machine learning (Motion Sequencing: MoSeq) Email contact: [email protected] |
|
Matthew Ricci, PhD
Matthew Ricci is a postdoctoral associate at Brown University's Data Science Initiative, where he works on methods for the optimal control of network dynamics. Earlier, he received his Ph.D. from Brown University, where he studied machine learning and computational neuroscience under Thomas Serre. He is particularly interested in machine learning techniques for the control and reconstruction of network dynamics in biological systems, from the behavioral to cellular level. He is also interested in the role of neural dynamics in higher cognition in both machines and brains. Matthew's collaboration with the Abraira Lab concerns the analysis of behavioral sequences in animal models using tools from graph theory. Personal Website: http://matthew-ricci.com/ |
|
Jaclyn T Eisdorfer, Josh Thackray, Thomas Theis, Ana Vivinetto, Matthew T Ricci, Sherry Lin, Olisemeka Oputa, Alana M Martinez, Hannah D Nacht, Monica Tschang, Malaika Mahmood, Ashley Tucker, Manon Bohic, Shailee Pusuloori, Lance Zmoyro, Abraira Lab Computational Group, Phillip Popovich, Adam R. Ferguson, Dana McTigue, Vicki M Tysseling, Jennifer Dulin, Edmund Hollis II, Sandeep Robert Datta, Victoria E Abraira
Using behavioral biomarkers to redefine epochs of spontaneous recovery following spinal cord injury See full list of collaborative authors |
