Refereed papers in professional journals:
- Gindin I., M. Benyamini, and M. Zacksenhouse, Effects of model inaccuracies on reaching movements with intermittent control, PLoS-ONE 14(10): e0224265; https://doi.org/10.1371/journal.pone.0224265, 2019.
- Benyamini, M., S. Nason, C. Chestek, and M. Zacksenhouse, Neural Correlates of Error Processing During Grasping with Invasive Brain-Machine Interfaces. In 2019 9th Int. IEEE/EMBS Conf. On Neural Engineering (NER’19), (pp. 215-218), San-Francisco, CA, USA March 2019.
- Buki E., R. Katz, M. Zacksenhouse, and I. Schlesinger, Vib-bracelet: a passive absorber for attenuating forearm tremor. Medical & Biological Engineering & Computing, 4:1-8, 2017.
- Demchenko, I., R. Katz, H. Pratt, and M. Zacksenhouse, Distinct electroencephalographic responses to disturbances and distractors during continuous reaching movements. Brain Research, 1652, 178-187, 2016.
- Benyamini, M., and M. Zacksenhouse. Optimal feedback control framework suggests that changes in the preferred direction during BMI experiments may occur even with no adaptation. In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 003876-003881, IEEE, October, 2016.
- Benyamini M. and M. Zacksenhouse, Optimal feedback control successfully explains changes in neural modulations during experiments with brain-machine interfaces, Frontiers in Systems Neuroscience, 9:71, http://dx.doi.org/10.3389/fnsys.2015.00071, 2015.
- Zacksenhouse M. M.A. Lebedev, and M.A.L. Nicolelis, Signal-independent timescale analysis (SITA) and its application for neuron coding during reaching and walking, Frontiers in Comp. Neuroscience, 8:91, 2014.
- Zacksenhouse M., R. Bogacz and P. Holmes, Robust versus optimal strategies for two-alternative forced choice tasks, J Math. Psychology, 54:230-246, Doi:10/1016/j.jmp.2009.12.004, 2010.
- Zacksenhouse M., S. Nemets, M.A. Lebedev, and M.A.L. Nicolelis, Robust satisficing linear regression: Performance/ robustness trade-off and consistency criterion, Mechanical Systems and Signal Processing, Special issue on Inverse Problems. Doi 10.1016/j.ymssp.2008.09.008, 23(6):1954-1964, 2009.
- Zacksenhouse M., M.A. Lebedev, J.M. Carmena, J.E. O’Doherty, C.S. Henriquez, and M.A.L. Nicolelis, Cortical Modulations increase in early sessions with Brain-Machine Interfaces, PLoS-ONE, 2(7):e629, 2007.
- Zacksenhouse M., Nemets S., Strategies for neural ensemble data analysis for brain-machine interface (BMI) applications, in Nicolelis MAL. (ed) Methods for Neural Ensemble Recordings, 2nd edition, CRC Press: 57-82, 2008.
- Zacksenhouse M., S. Nemets, M.A. Lebedev, and M.A.L. Nicolelis, Robust satisficing linear regression: Performance/ robustness trade-off and consistency criterion, Mechanical Systems and Signal Processing, Special issue on Inverse Problems. Doi 10.1016/j.ymssp.2008.09.008, 23(6):1954-1964, 2009.
- Zacksenhouse M., and E. Ahissar, Temporal Decoding by Phase-Locked-Loops – unique features of circuit level implementations and their significance for vibrissal information processing. Neural Computation, 18(7): 1611-1636, 2006.
- Dejmal I., and M. Zacksenhouse, Coordinative Structure of Manipulative Hand-movements Facilitates their Recognition. IEEE Trans. Biomed. Eng. 53(12):2455-2463, 2006.
- Lebedev, M.A., J.M. Carmena, J.E. O’Doherty, M. Zacksenhouse, C.S. Henriquez, J.C. Principe and M.A.L. Nicolelis, Cortical Ensemble Adaptation to Represent Velocity of An Artificial Actuator Controlled by Brain Machine Interface, J. Neuroscience, 25(19): 4681-4693, 2005.
- Jin H.L., and M. Zacksenhouse, Oscillatory Neural Control Networks for Robotic Yo-yo Control, IEEE Trans. on Neural Networks 14(2):317-325, 2003.
- Zacksenhouse M., Sensitivity of Basic Oscillatory Mechanisms for Pattern Generation and Detection. Biol. Cybernetics, 85(4):301-311, 2001.
- Ahissar E. and M. Zacksenhouse, Temporal and spatial coding in the rat vibrissal system. Progress in brain research, 130:75-87, 2001.