{"id":212,"date":"2025-10-30T13:51:42","date_gmt":"2025-10-30T17:51:42","guid":{"rendered":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/?page_id=212"},"modified":"2026-05-13T11:40:36","modified_gmt":"2026-05-13T15:40:36","slug":"pubs","status":"publish","type":"page","link":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/pubs\/","title":{"rendered":"Pubs"},"content":{"rendered":"\t\t
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Publications<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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\u21aa Book Chapters<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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B2.<\/strong>\u00a0H.I. Krebs,\u00a0K.P. Michmizos<\/strong>, T. Susko, H. Lee, A. Roy, N. Hogan, ”\u00a0Beyond Human or Robot Administered Treadmill Training,” (pp. 409-433) in D.J. Reinkensmeyer, V. Dietz (eds.): Neurorehabilitation Technology, Springer, August 2016 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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B1. K.P. Michmizos<\/strong>, K.S. Nikita, ”\u00a0Physiological Systems Modeling Simulation and Control,” (pp. 745-787) in Z.O. Abu-Faraj (ed.): Handbook of Research on Biomedical Engineering Education and Advanced Bioengineering Learning: Interdisciplinary Concepts. IGI-Global, Hershey, PA, USA, 2012 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u21aa Peer-reviewed Publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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2020<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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69\u00a0[C]<\/strong>. G. Tang, N. Kumar,\u00a0 R. Yoo,\u00a0\u00a0K.P. Michmizos<\/strong>, “Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control,”\u00a0 2020 Conference on Robot Learning\u00a0(CoRL), pp. 1-10, 2020.<\/p>

68\u00a0[C]<\/strong>. L. Kozachkov,\u00a0K.P. Michmizos<\/strong>, “Sequence Learning in Associative Neuronal-Astrocytic Networks,”\u00a0 2020 International Conference on Brain Informatics,\u00a0\u00a0pp. 349-360, 2020.\u00a0 [2nd Best Paper Award<\/strong>]<\/p>

67\u00a0[C]<\/strong>. G. Tang, N. Kumar,\u00a0K.P. Michmizos<\/strong>, “Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware,”\u00a0 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1-8, 2020.\u00a0 [arxiv’ed version<\/a>]<\/p>

66\u00a0[C]<\/strong>. I. Polykretis, G. Tang,\u00a0K.P. Michmizos,<\/strong>\u00a0“An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel’s Loihi,” ACM Proceedings of the International Conference on Neuromorphic Systems (ICONS), pp. 1-8, 2020.<\/p>

65\u00a0[C].\u00a0<\/strong>P. Balachandar,\u00a0K.P. Michmizos<\/strong>, “A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head,” 8th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), NY, NY, Nov 29 – Dec 2, 2020. [arxiv’ed version<\/a>]\u00a0[2nd Best Paper Award<\/strong>]<\/p>

64\u00a0[C]<\/strong>. N. Kumar,\u00a0K.P. Michmizos<\/strong>, “Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots,” 8th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), NY, NY, Nov 29 – Dec 2, 2020. [arxiv’ed version<\/a>]<\/p>

63\u00a0[C]<\/strong>. N. Kumar,\u00a0K.P. Michmizos<\/strong>, “Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots,” 8th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), NY, NY, Nov 29 – Dec 2, 2020. [arxiv’ed version<\/a>]<\/p>

62\u00a0[C]<\/strong>. I. Polykretis,\u00a0K.P. Michmizos,<\/strong>\u00a0“Astrocytes induce activity-dependent clocks on neuromorphic hardware,” ACM Proceedings of the 8th Annual Neuroinspired Computational Elements Workshop,\u00a0 March 16-19, Heidelberg, Germany, 2020.<\/p>

61\u00a0[C]<\/strong>. V. Ivanov,\u00a0K.P. Michmizos<\/strong>, “Astrocytes impose\u00a0criticality on a spiking reservoir network,” ACM Proceedings of the 8th Annual Neuroinspired Computational Elements Workshop,\u00a0 March 16-19, Heidelberg, Germany, 2020.<\/p>

60 [C]<\/strong>. G. Tang,\u00a0K.P. Michmizos<\/strong>, “Real-time Mapping on a Neuromorphic Processor,”\u00a0 ACM Proceedings of the 8th Annual Neuroinspired Computational Elements Workshop,\u00a0 March 16-19, Heidelberg, Germany, 2020<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2019<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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59\u00a0[C].<\/strong>\u00a0G Tang, A Shah,\u00a0K.P. Michmizos<\/strong>,\u00a0“Spiking neural network on neuromorphic hardware for energy-efficient unidimensional SLAM,” 2019 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov 4-8, 2019.\u00a0[link<\/a>]\u00a0[publicity<\/a>]<\/p>

58\u00a0[C].<\/strong>\u00a0G. Tang, I.\u00a0Polykretis, V. Ivanov,\u00a0K.P. Michmizos<\/strong>, “Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos,” ACM\u00a0Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop,\u00a0Albany, NY,\u00a0March 26th \u2013 28th, 2019.\u00a0[link<\/a>]\u00a0[arxiv’ed version<\/a>]<\/p>

57\u00a0[C].<\/strong>\u00a0I.\u00a0Polykretis, V. Ivanov,\u00a0K.P. Michmizos<\/strong>, “Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations,”\u00a0IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI\u201919), Chicago, IL, May 19-22, 2019.\u00a0[link<\/a>]<\/p>

56\u00a0[C].<\/strong>\u00a0V. Ivanov,\u00a0I.\u00a0Polykretis,\u00a0K.P. Michmizos<\/strong>, “Axonal Conduction Velocity Impacts Neuronal Network Oscillations,”\u00a0IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI\u201919), Chicago, IL, May 19-22, 2019.\u00a0[link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2018<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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55\u00a0[J].<\/strong>\u00a0S. khan, J. Hasmhi, F. Mamashli,\u00a0K.P. Michmizos<\/strong>, M. Kitzbichler, H. Bharadwaj, Y. Bekhti, S. Ganesan, K.A. Garel, S. Whitfield-Gabrieli; R.L. Gollub, J. Kong; L.M. Vaina, K.D. Rana, S. Stufflebeam, M.S. Hamalainen, T. Kenet ”\u00a0Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band\u00a0,”\u00a0NeuroImage<\/em>\u00a0(in press), doi: 10.13140\/RG.2.2.25250.53446 2018 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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53 [C].<\/strong>\u00a0I.\u00a0Polykretis, V. Ivanov,\u00a0K.P. Michmizos<\/strong>, “The Astrocytic Microdomain as a Generative Mechanism for Local Plasticity,” International Conference on Brain Informatics,\u00a0 Arlington, TX, December\u00a07-9, 2018 (pp. 153-162)<\/p>

53 [C].<\/strong>\u00a0I.\u00a0Polykretis, V. Ivanov,\u00a0K.P. Michmizos<\/strong>, ”\u00a0A Neural-Astrocytic Network Architecture: Astrocytic calcium waves modulate synchronous neuronal activity,” International Conference on Neuromorphic Systems (ICONS),\u00a0 Knoxville, Tennessee, July 23-26, 2018 (pp. 1-8)<\/p>

52 [C].<\/strong>\u00a0G. Tang,\u00a0K.P. Michmizos<\/strong>, ”\u00a0Gridbot: An autonomous robot controlling by a spiking neural network mimicking the brain’s navigational system,” International Conference on Neuromorphic Systems (ICONS),\u00a0 Knoxville, Tennessee, July 23-26, 2018\u00a0(pp. 1-8)<\/p>

51 [C].<\/strong>\u00a0G. Tang,\u00a0K.P. Michmizos<\/strong>, ”\u00a0Gridbot: A Spiking Neural Network Model of the Brain\u2019s Navigation System for Autonomous Robots,” 6th Neuro Inspired Computational Elements Workshop (NICE 2017), Intel Hillsboro, OR, February 27th- March 1st, 2018<\/p>

50 [C].<\/strong>\u00a0L. Kozachkov,\u00a0K.P. Michmizos<\/strong>, ”\u00a0Brain-morphism: Astrocytes as Memory Units,” 6th Neuro Inspired Computational Elements Workshop (NICE 2017), Intel Hillsboro, OR, February 27th- March 1st, 2018<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2017<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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49 [J].<\/strong>\u00a0L. Kozachkov,\u00a0K.P. Michmizos<\/strong>, ”\u00a0A Computational Role for Astrocytes in Memory,”\u00a0arXiv:1707.05649<\/a>, 2017<\/p>

48 [J].<\/strong>\u00a0L. Kozachkov,\u00a0K.P. Michmizos<\/strong>, ”\u00a0The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study,”\u00a0arXiv:1702.03993<\/a>, 2017<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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47 [J]. K.P. Michmizos<\/strong>, H. I. Krebs, ”\u00a0Pediatric Robotic Rehabilitation: Current knowledge and future trends in treating children with sensorimotor impairments,”
Neurorehabilitation<\/em>, pp. 1-8, doi: 10.3233\/NRE-171458, 2017 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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46 [J].<\/strong>\u00a0F. Mamashli, S. Khan, H.M. Bharadwaj,\u00a0K.P. Michmizos<\/strong>, S. Ganesan, K. Garel, J. Hashmi, M. Herbert, M. Hamalainen, T. Kenet, ”\u00a0Auditory Processing in Noise is Associated with Complex Patterns of Disrupted Functional Connectivity in Autism Spectrum Disorder,”\u00a0Autism Research<\/em>, 10 (4), 631-647, 2017 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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45 [J]. K.P. Michmizos<\/strong>, B. Lindqvist, S. Wong, E.L. Hargreaves, G.D. Mitsis, S.F. Danish, K.S. Nikita, ”\u00a0Computational Neuromodulation: Future Challenges for Deep Brain Stimulation,”
IEEE Signal Processing Magazine<\/em>, 34(2), 114-119, 2017 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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44 [J}.<\/strong>\u00a0K. Kostoglou,\u00a0K.P. Michmizos<\/strong>, P. Stathis, D. Sakas, K.S. Nikita, G.D. Mitsis, ”\u00a0Classification and prediction of clinical improvement in Deep Brain Stimulation from intraoperative microelectrode recordings,”\u00a0IEEE<\/i>\u00a0Transactions on Biomedical Engineering<\/em>, 64(5), 1123-1130, 2017 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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43 [C].<\/strong>\u00a0G. Tang,\u00a0K.P. Michmizos<\/strong>,”\u00a0NeuRobotics: A Spiking Neural Network Model of the Brain\u2019s Spatial Navigation System for Autonomous Robots\u00a0,” Cognitive Computational Neuroscience (CCN), NY, September 2017<\/p>

42 [C].<\/strong>\u00a0N.Kumar, C.Trivedi, D. Pantazis, D. Metaxas,\u00a0K.P. Michmizos<\/strong>,”\u00a0Camera-based Detection of the Early Stages of Fatigue: Validation with MEG and Self-Assessment Data\u00a0,” Cognitive Computational Neuroscience (CCN), NY, September 2017<\/p>

41 [C].<\/strong>\u00a0L. Kozachkov,\u00a0K.P. Michmizos<\/strong>,”\u00a0On the Computational Roles of Astrocytes,” Cognitive Computational Neuroscience (CCN), NY, September 2017<\/p>

40 [C].<\/strong>\u00a0P. Balachandar,\u00a0K.P. Michmizos<\/strong>, ”\u00a0NeuRobotics: A Spiking Neural Network Model of the Oculomotor System for Controlling a Biomimetic Robotic Head,” Cognitive Computational Neuroscience (CCN), NY, September 2017<\/p>

39 [C].<\/strong>\u00a0L. Kozachkov, K. Feigelis,\u00a0K.P. Michmizos<\/strong>, ”\u00a0A Biomimetic Neural-Astrocytic Network: Adding a Slow Layer for Fast Information Processing,” 5th Neuro Inspired Computational Elements Workshop (NICE 2017), IBM Research – Almaden, March 6th-8th, 2017 [poster<\/a>]<\/p>

38\u00a0<\/b>[C]<\/strong>.<\/b>\u00a0P. Balachandar,\u00a0K.P. Michmizos<\/strong>, ”\u00a0Neuromorphic Robotic Attention: A spike-based oculomotor controller,” 5th Neuro Inspired Computational Elements Workshop (NICE 2017), IBM Research – Almaden, March 6th-8th, 2017 [poster<\/a>]<\/p>

37 [C].<\/strong>\u00a0G. Tang,\u00a0K.P. Michmizos<\/strong>, ”\u00a0GRIDBOT: Spike-based head direction cells employing Bayesian inference,” 5th Neuro Inspired Computational Elements Workshop (NICE 2017), IBM Research – Almaden, March 6th-8th, 2017 [poster<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2016<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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36 [J].<\/strong>\u00a0S. Khan, J.A. Hashmi, F. Mamashli, H.M.Bharadwaj, S. Ganesan,\u00a0K.P. Michmizos<\/strong>, M. Kitzbichler, M. Zetino, K. Garel, M. Hamalainen, T. Kenet, ”\u00a0Altered Onset Response Dynamics in Somatosensory Processing in Autism Spectrum Disorder,”\u00a0Frontiers in Neuroscience, section Child and Adolescent Psychiatry<\/em>, 2016 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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35 [C].<\/strong>\u00a0Y Mohsenzadeh,\u00a0K.P. Michmizos<\/strong>, D Metaxas, D Pantazis, ”\u00a0Mental fatigue in a prolonged multiple object tracking task,” Society for Neuroscience, San Diego, November 12-16, 2016<\/p>

34 [C].<\/strong>\u00a0Y Mohsenzadeh,\u00a0K.P. Michmizos<\/strong>, D Metaxas, D Pantazis, ”\u00a0Neural and pupil diameter effects of mental fatigue,” 20th International Conference on Biomagnetism, Seoul, South Korea, October 1-6, 2016<\/p>

33 [C].<\/strong>\u00a0J. Ames,\u00a0K.P. Michmizos<\/strong>, ”\u00a0A Biologically Inspired Image Classifier: Adaptive Feature Detection,”\u00a0IEEE<\/i>\u00a0EMBC ’16, Orlando, USA, 2016 [link<\/a>]<\/p>

32 [C].<\/strong>\u00a0R. Kommalapati,\u00a0K.P. Michmizos<\/strong>, ”\u00a0Virtual Reality for Pediatric Neuro-Rehabilitation: Adaptive Visual Feedback of Movement to Engage the Mirror Neuron System,”\u00a0IEEE<\/i>\u00a0EMBC ’16, Orlando, USA, 2016 [link<\/a>]<\/p>

31 [C].<\/strong>\u00a0H.I. Krebs,\u00a0K.P. Michmizos<\/strong>, L. Monterosso, J. Mast, ”\u00a0Pediatric Anklebot: Pilot Clinical Trial,”\u00a0IEEE<\/i>\u00a0BioRob ’16, Singapore, 2016 [link<\/a>]<\/p>

[ — ComBra Lab founded —]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2015<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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30 [J]. K.P. Michmizos<\/strong>, S. Rossi, P. Cappa, H.I. Krebs ”\u00a0Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation,”\u00a0IEEE<\/i>\u00a0Transactions on Neural Systems and Rehabilitation Engineering<\/em>, 23(6), pp. 1056 – 1067, doi: 10.1109\/TNSRE.2015.2410773,\u00a02015<\/strong>\u00a0[link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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29\u00a0[J].\u00a0<\/strong>S. Khan,\u00a0K.P. Michmizos<\/strong>, M. Tommerdahl, S. Ganesan, M. Kitzbichler, M. Zetino, K. Garel, M. Herbert, M. Hamalainen, T. Kenet ”\u00a0Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale,”\u00a0Brain<\/em>, 138(5):1394-409. doi: 10.1093\/brain\/awv043, 2015 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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28 [J]. K.P. Michmizos<\/strong>, P. Frangou, P. Stathis, D.E. Sakas, K.S. Nikita ”\u00a0Beta – band frequency peaks inside the subthalamic nucleus as a biomarker for motor improvement after Deep Brain Stimulation in Parkinson\u2019s disease,”\u00a0IEEE<\/i>\u00a0Journal of Biomedical and Health Informatics<\/em>, 19 (1), 174-180, 2015 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2014<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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27 [J]. K.P. Michmizos<\/strong>, L. Vaisman, H.I. Krebs ”\u00a0A Comparative analysis of speed profile models for ankle pointing movements: Evidence that lower and upper extremity discrete movements are controlled by a single invariant strategy,”\u00a0Frontiers in Human Neuroscience<\/em>, 2014 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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26 [J]. K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Reaction time in ankle movements: a diffusion model analysis,”
Experimental Brain Research\u00a0<\/em>, 232(11), pp. 3475-88, 2014 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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25 [J]. K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Pointing with the ankle: the speed-accuracy tradeoff,”
Experimental Brain Research<\/em>, 232(2), pp. 647-657, 2014 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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24 [J].<\/strong>\u00a0S. Khan, J. Lef\u00e8vre, S. Baillet,\u00a0K.P. Michmizos<\/strong>, S. Ganesan, M. Kitzbichler, M. Zetino, M. H\u00e4m\u00e4l\u00e4inen, C. Papadelis, T. Kenet, ”\u00a0Encoding Cortical Dynamics in Sparse Features,”
Frontiers in Human Neuroscience<\/em>, (9 pp.), 2014 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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23 [C]. K.P. Michmizos<\/strong>, S. Khan, M. Hamalainen, T. Kenet, ”\u00a0From spikes to MEG signals: A Computational Model Mimics Abnormalities in Cortical Feed-forward and Feed-back Connectivity in Autism Spectrum Disorders,”\u00a0IEEE<\/i>\u00a0EMBC ’14, Chicago, Illinois, 2014 [link<\/a>]<\/p>

22\u00a0[C] K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0A Hierarchical Bayesian Modeling of the Ankle Reaction Time,”\u00a0IEEE<\/i>\u00a0EMBC ’14, Chicago, Illinois, 2014 [link<\/a>]<\/p>

21 [C]. K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Modeling Reaction Time in the Ankle,”\u00a0IEEE<\/i>\u00a0BioRob ’14, pp. 542 – 547, Sao Paolo, Brazil, 2014 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2013<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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20 [C].<\/strong>\u00a0A. Siqueira,\u00a0K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Development of a robotic system for bilateral telerehabilitation,” COBEM ’13, Sao Paolo, Brazil, 2013 [link<\/a>]<\/p>

19 [C].\u00a0<\/strong>P.D. Frangou,\u00a0K.P. Michmizos<\/strong>, P. Stathis, D. Sakas, K.S. Nikita, ”\u00a0Beta band peak in Local Field Potentials as a marker of clinical improvement in Parkinsons disease after Deep Brain Stimulation,” IFMBE MEDICON ’13, Sevilla, Spain, 2013 [\u00a0Top 10 finalist for best paper award<\/u>\u00a0<\/i>] [link<\/a>]<\/p>

18 [C]. K.P. Michmizos<\/strong>, P.D. Frangou, P. Stathis, D. Sakas, K.S. Nikita, ”\u00a0Beta band peak localizes the optimal Deep Brain Stimulation contact in Parkinson’s disease patients\u00a0,” International Conference on Deep Brain Stimulation, Dusseldorf, Germany, 2013[link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2012<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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20 [C].<\/strong>\u00a0A. Siqueira,\u00a0K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Development of a robotic system for bilateral telerehabilitation,” COBEM ’13, Sao Paolo, Brazil, 2013 [link<\/a>]<\/p>

19 [C].\u00a0<\/strong>P.D. Frangou,\u00a0K.P. Michmizos<\/strong>, P. Stathis, D. Sakas, K.S. Nikita, ”\u00a0Beta band peak in Local Field Potentials as a marker of clinical improvement in Parkinsons disease after Deep Brain Stimulation,” IFMBE MEDICON ’13, Sevilla, Spain, 2013 [\u00a0Top 10 finalist for best paper award<\/u>\u00a0<\/i>] [link<\/a>]<\/p>

18 [C]. K.P. Michmizos<\/strong>, P.D. Frangou, P. Stathis, D. Sakas, K.S. Nikita, ”\u00a0Beta band peak localizes the optimal Deep Brain Stimulation contact in Parkinson’s disease patients\u00a0,” International Conference on Deep Brain Stimulation, Dusseldorf, Germany, 2013[link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2012<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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17 [J]. K.P. Michmizos<\/strong>, D.E. Sakas, K.S. Nikita, ”\u00a0Parameter identification for a local field potential driven model of the parkinsonian subthalamic nucleus spike activity,”
Neural Networks<\/em>, (11 pp.), 2012 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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16 [J]. K.P. Michmizos<\/strong>, D.E. Sakas, K.S. Nikita, ”\u00a0Prediction of the timing and the rhythm of the parkinsonian subthalamic nucleus neural spikes using the local field potentials,”
IEEE<\/i>\u00a0Transactions of Information Technology in Biomedicine<\/em>, (8 pp.), 2012 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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15 [C].\u00a0<\/strong>K. Kostoglou,\u00a0K.P. Michmizos<\/strong>, P. Stathis, D. Sakas, K.S. Nikita , G. Mitsis, ”\u00a0Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models,”\u00a0IEEE<\/i>\u00a0BIBE ’12, Larnaca, Cyprus, 2012 [link<\/a>]<\/p>

14 [C]. K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Assist-as-Needed in Lower Extremity Robotic Therapy for Children with Cerebral Palsy,”\u00a0IEEE<\/i>\u00a0BioRob \u201912, Rome, Italy, June 2012 [\u00a0link<\/a>]<\/p>

13 [C]. K.P. Michmizos<\/strong>, H.I. Krebs, ”\u00a0Serious Games for the Pediatric Anklebot,”\u00a0\u0399\u0395\u0395\u0395<\/i>\u00a0BioRob \u201812 Rome, Italy, June 2012 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2011<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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12 [J]. K.P. Michmizos<\/strong>, D.E. Sakas, K.S. Nikita, ”\u00a0Toward relating the subthalamic nucleus spiking activity with the local field potentials acquired intranuclearly\u00a0,”
IOP Measurement Science and Technoloy<\/em>\u00a022(11), (9 pp.), 2011 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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11 [C]. K.P. Michmizos<\/strong>, K.S. Nikita, ”\u00a0Addition of deep brain stimulation signal to a local field potential driven Izhikevich model masks the pathological firing pattern of an STN neuron,”\u00a0IEEE<\/i>\u00a0EMBC \u201911, Boston, USA, August 2011 [link<\/a>]<\/p>

10 [C]. K.P. Michmizos<\/strong>, K.S. Nikita, ”\u00a0Local field potential driven Izhikevich model predicts a subthalamic nucleus neuron activity,”\u00a0\u0399\u0395\u0395\u0395<\/i>\u00a0EMBC \u201811 Boston, USA, August 2011 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2010<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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09 [C]. K.P. Michmizos<\/strong>, V. Papavasileiou, D. Sakas, K.S.Nikita, ”\u00a0Mathematical Physiological Modeling of the relation between local field potentials and spikes recorded inside the Subthalamic Nucleus,”\u00a0IEEE<\/i>\u00a0ITAB 2010, Corfu, Greece, November 2010 [link<\/a>]<\/p>

08 [C]. K.P. Michmizos<\/strong>, K.S. Nikita, ”\u00a0Can We Infer Subthalamic Nucleus Spike Trains from Intranuclear Local Field Potentials?,”\u00a0IEEE<\/i>\u00a0EMBC ’10, Buenos Aires, Argentina, September 2010 [link<\/a>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2009<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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07 [C]. K.P. Michmizos<\/strong>, D.E. Sakas, K.S. Nikita, ”\u00a0An in-silico model of an STN neuron that uses the LFPs to predict the spikes,” Consciousness and its Measures, Limassol, Cyprus, November 29- December 1, 2009<\/p>

06 [C]. K.P. Michmizos<\/strong>, G.L. Tagaris, D.E. Sakas, K.S. Nikita, ”\u00a0Employing LFPs and spikes to model the non-linear behavior of the STN,” 18th Annual Computational Neuroscience Meeting, Berlin, Germany,\u00a0BMC Neuroscience<\/em>\u00a010 doi:10.1186\/1471-2202-10-S1-P320J1, July 2009<\/p>

05 [C]. K.P. Michmizos<\/strong>, G.L. Tagaris, D.E. Sakas, K.S. Nikita, ”\u00a0Towards Input Output Non-Linear Modeling of the Subthalamic Nucleus using Intranuclear Recordings,”\u00a0IEEE<\/i>\u00a0NER ’09, Antalya, Turkey, April 2009<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2008<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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04 [C]. K.P. Michmizos<\/strong>, G.L. Tagaris, D.E. Sakas, K.S. Nikita, ”\u00a0Automatic Intra-Operative Localization of STN using the Beta Band Frequencies of Microelectrode Recordings\u00a0,”\u00a0IEEE<\/i>\u00a0BIBE ’08\u00a02008<\/b>, Athens, Greece<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2007<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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03 [C]. K.P. Michmizos<\/strong>, H.L. Galiana, ”\u00a0A Biomimetic robotic Head using A model of ocular tracking,” Festival on International Conferences on Caregiving, Dissability, Aging and Technologies, Toronto, July 2007<\/p>

02 [C]. K.P. Michmizos<\/strong>, C. Argyropoulos, V. Aidinis, G. Nikiforidis, K. Berberidis, ”\u00a0A proposal of a novel segmentation technique of microarray images,”\u00a0IEEE<\/i>\u00a0IST 2007, Krakow, Poland, May 2007<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2003<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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01 [C].\u00a0<\/strong>I. Nikita,\u00a0K.P. Michmizos<\/strong>, K. Berberidis, G. Kostopoulos, ”\u00a0Carbachol induces fast oscillations (20-45Hz) with greater probability and intensity in ventral than in dorsal hippocampal slices of the rat,” National Convention of the Hellenic Society of Neurosciences, Athens, October, 2003[\u00a0best paper award<\/u>\u00a0<\/i>]<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Please note: The copyrights to the publications are held by their publishers. The pdf files provided in this web site may be used only for single copies for personal use, as though they were reprints provided by mail. They may not be reposted on other web sites or used for any other purpose without the express permission of the appropriate publishers. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Publications \u21aa Book Chapters B2.\u00a0H.I. Krebs,\u00a0K.P. Michmizos, T. Susko, H. Lee, A. Roy, N. Hogan, ”\u00a0Beyond Human or Robot Administered Treadmill Training,” (pp. 409-433) in D.J. Reinkensmeyer, V. Dietz (eds.): Neurorehabilitation Technology, Springer, August 2016 [link] B1. K.P. Michmizos, K.S. Nikita, ”\u00a0Physiological Systems Modeling Simulation and Control,” (pp. 745-787) in Z.O. Abu-Faraj (ed.): Handbook of […]<\/p>\n","protected":false},"author":470,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-212","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/pages\/212","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/users\/470"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/comments?post=212"}],"version-history":[{"count":41,"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/pages\/212\/revisions"}],"predecessor-version":[{"id":1044,"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/pages\/212\/revisions\/1044"}],"wp:attachment":[{"href":"https:\/\/wordpress.cs.rutgers.edu\/combra-cs-rutgers-edu\/wp-json\/wp\/v2\/media?parent=212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}