Nir Nossenson, Ph.D.
Research Associate

Room: 405 Mugar Life Sciences
Phone: 617-373-2524

Academic Education:

B.Sc., Electrical Engineering, Technion – Israel Institute of Technology, Israel (1999)

M.Sc., Electrical Engineering, Tel Aviv University, Israel (2009)

Ph.D., Electrical Engineering, Tel Aviv University, Israel (2014)

Professional Appointments:

Logic Design Engineer, Intel Cellular Communication Group, Petach-Tikva, Israel (1999-2004)

RF performance analysis Engineer, Intel Cellular Communication Group, Petach-Tikva, Israel (2005-2007)

Algorithm Engineer, Galileo Satellite Navigation, Rishon Le-Zion, Israel (2013)

Postdoc Research Fellow, MGH & Harvard Medical School, Boston, MA (2014-2015)

Research Associate, Northeastern University, Boston, MA (2016-)

Research Interests:

My research with Prof. Zupanc and Prof. Sipahi aims to better understand the processes underlying neural tissue regeneration for the purpose of controlling this process in species and anatomical regions that do not naturally posses this capability. My own interest in the nervous system started in my doctorate studies which focused on modeling the nervous system perception (detection) mechanism in terms of stochastic control theory for the purpose of artificially detecting stimuli presence from observing neural activity. During my postdoc fellowship at MGH/Harvard Medical School, I continued to research the perception/detection mechanism of the nervous system using intra-cranial data from epileptic patients. In addition to my interest in biological control problems, I am interested in GPS navigation algorithms and digital communication problems.

Scientific Publications:

Nossenson, N., Bobrovsky, B.Z.: Analysis of direct spectrum measurement of a sinusoidal signal impaired by either fractional Gaussian phase noise or fractional Brownian phase motion. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 56, 2351-2362 (2009), doi:10.1109/TUFFC.2009.1323

Nossenson, N., Messer, H.: Modeling neuron firing pattern using a two state Markov chain. In 2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 41-44. Piscataway, NJ: IEEE (2010), doi:10.1109/SAM.2010.5606761

Nossenson, N., Messer, H. Optimal sequential detection of stimuli from multiunit recordings taken in densely populated brain regions. Neural Computation 24, 895-938 (2012), doi:10.1162/NECO_a_00257

Nossenson, N., Magal, A., Messer, H.: Detection of stimuli from multi-neuron activity: Empirical study and theoretical implications. Neurocomputing 174, 822-837 (2016), doi:10.1016/j.neucom.2015.10.007

Prueckl, R., Grünbacher, E., Ortner, R., Taub, A.H., Hogri, R., Magal, A., Segalis, E., Zreik, M., Nossenson, N., Herreros, I., Giovannucci, A.: The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats. In 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, pp. 1-8. Piscataway, NJ: IEEE (2011), doi:10.1109/CCMB.2011.5952121