Daniel Blustein, Assistant Professor

Email address: Horton Hall

Email address: daniel.blustein@acadia.ca 

Classes taught: Advanced Statistical Analysis, Special Topics in Neuroscience, Introductory Psychology I, Human Neuropsychology


B.A., Kalamazoo College

Ph.D., Northeastern University

P.D.F., University of New Brunswick


Dr. Dan Blustein uses computational and experimental tools to study how people plan and make movements. His research aims to improve patient outcomes by developing novel neuroprosthetic technologies and neurorehabilitation techniques. Dr. Blustein also works to use film and other media to communicate science to the general public and to provide STEM educational experiences to students from historically excluded groups.

Dr. Blustein is always happy to hear from anyone interested in working in his Computation and Applied Neuroscience Lab.


Blustein D, Shehata A, Kuylenstierna E, Englehart K, Sensinger J. (2021) An analytical method reduces noise bias in motor adaptation analysis. Scientific Reports. https://doi.org/10.1038/s41598-021-88688-5

Blustein D, Gill S, Wilson A, Sensinger J. (2019) Crossmodal congruency effect scores decrease with repeat test exposure. PeerJ. https://doi.org/10.7717/peerj.6976

Blustein D, Englehart K, Sensinger J. (2018). Analyzing trial-by-trial adaptation of human movements using a Bayesian estimator. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1006501

Blustein D, Wilson A, Sensinger J. (2018) Assessing the quality of supplementary sensory feedback using the crossmodal congruency task. Scientific Reports. https://doi.org/10.1038/s41598-018-24560-3

Marasco P, Hebert J, Sensinger J, Shell C, Schofield J, Thumser Z, Nataraj R, Beckler D, Dawson M, Blustein D, Gill S, Mensh B, Granja-Vazquez R, Newcomb M, Carey J, Orzell B. (2018) Illusory movement perception improves motor control for prosthetic hands. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aao6990

Blustein D, Rosenthal N, Ayers J. (2013) Designing and implementing nervous system simulations on LEGO robots. J Visualized Experiments. https://doi.org/10.3791/50519

Ayers J, Westphal A, Blustein D. 2011. A Conserved Neural Circuit-based Architecture for Ambulatory and Undulatory Biomimetic Robots. Marine Technology. https://doi.org/10.4031/MTSJ.45.4.17