• 127 Citations
20072023
If you made any changes in Pure, your changes will be visible here soon.

Personal profile

Research Interests

Dr. Netta Gurari received her B.S.E. degree in Mechanical Engineering from the University of Pennsylvania, received her M.S. and Ph.D. degrees in Mechanical Engineering from The Johns Hopkins University, and completed a Postdoctoral Fellowship in the Robotics, Brain, and Cognitive Sciences Department at the Istituto Italiano di Tecnologia (IIT). She is the recipient of numerous awards, including a National Institutes of Health Career Development Award, National Science Foundation Graduate Research Fellowship, and Johns Hopkins University Whiting School of Engineering Dean’s Fellowship.

Dr. Gurari's overarching research goal is to apply her background in robotics to the field of quantitative systems neuroscience to develop a richer understanding of the human sensorimotor system and, in turn, to develop more effective treatments for those with compromised haptic perception and motor control. Her current research goal is to use robotic, neuroimaging, and psychology tools to: i) investigate on which behavioral tasks a proprioceptive impairment occurs in individuals with stroke, ii) determine how the impairment relates to neural structures that are affected post-stroke, and iii) develop a device-mediated training protocol to mitigate the proprioceptive impairment and, potentially, reorganize/rehabilitate the affected neural structures. Dr. Gurari is approaching this work by applying her knowledge in areas including haptics technologies, rehabilitation robotics, and psychophysics testing to conduct relevant research focused in this direction.

Education/Academic qualification

PhD, Johns Hopkins University

… → 2010

Research interests

  • Cognitive Neuroscience
  • Stroke

Fingerprint Dive into the research topics where Netta Gurari is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 24 Similar Profiles
Feedback Engineering & Materials Science
Prosthetics Engineering & Materials Science
Forearm Medicine & Life Sciences
Stroke Medicine & Life Sciences
Aptitude Medicine & Life Sciences
Torque Engineering & Materials Science
Arm Medicine & Life Sciences
Stiffness Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2018 2023

Research Output 2007 2018

  • 127 Citations
  • 11 Conference contribution
  • 6 Article
  • 1 Conference article
Aptitude
stroke
Forearm
Arm
Stroke
2 Citations (Scopus)

Impact of motor task execution on an individual’s ability to mirror forearm positions

Gurari, N., Drogos, J., Lopez, S. & Dewald, J. P. A., Mar 1 2018, In : Experimental Brain Research. 236, 3, p. 765-777 13 p.

Research output: Contribution to journalArticle

Aptitude
Forearm
Arm
Short-Term Memory
Stroke
5 Citations (Scopus)
Forearm
Arm
Stroke
Proprioception
Robotics
3 Citations (Scopus)

Perception of force and stiffness in the presence of low-frequency haptic noise

Gurari, N., Okamura, A. M. & Kuchenbecker, K. J., Jun 1 2017, In : PloS one. 12, 6, e0178605.

Research output: Contribution to journalArticle

Noise
Stiffness
Aptitude
Cutoff frequency
Watermarking

Task directionality impacts the ability of individuals with chronic hemiparetic stroke to match torques between arms: Preliminary findings

Van Der Helm, N. A., Gurari, N., Drogos, J. & Dewald, J. P. A., Aug 11 2017, 2017 International Conference on Rehabilitation Robotics, ICORR 2017. Ajoudani, A., Artemiadis, P., Beckerle, P., Grioli, G., Lambercy, O., Mombaur, K., Novak, D., Rauter, G., Rodriguez Guerrero, C., Salvietti, G., Amirabdollahian, F., Balasubramanian, S., Castellini, C., Di Pino, G., Guo, Z., Hughes, C., Iida, F., Lenzi, T., Ruffaldi, E., Sergi, F., Soh, G. S., Caimmi, M., Cappello, L., Carloni, R., Carlson, T., Casadio, M., Coscia, M., De Santis, D., Forner-Cordero, A., Howard, M., Piovesan, D., Siqueira, A., Sup, F., Lorenzo, M., Catalano, M. G., Lee, H., Menon, C., Raspopovic, S., Rastgaar, M., Ronsse, R., van Asseldonk, E., Vanderborght, B., Venkadesan, M., Bianchi, M., Braun, D., Godfrey, S. B., Mastrogiovanni, F., McDaid, A., Rossi, S., Zenzeri, J., Formica, D., Karavas, N., Marchal-Crespo, L., Reed, K. B., Tagliamonte, N. L., Burdet, E., Basteris, A., Campolo, D., Deshpande, A., Dubey, V., Hussain, A., Sanguineti, V., Unal, R., Caurin, G. A. D. P., Koike, Y., Mazzoleni, S., Park, H-S., Remy, C. D., Saint-Bauzel, L., Tsagarakis, N., Veneman, J. & Zhang, W. (eds.). IEEE Computer Society, p. 714-719 6 p. 8009332. (IEEE International Conference on Rehabilitation Robotics).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Torque
Stroke
Elbow Joint