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ORCIDKostis P. Michmizos 0001
Person information
- affiliation: Rutgers University, Department of Computer Science, Computational Brain Lab, NJ, USA
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2020 – today
- 2023
[j10]Ioannis Polykretis
, Aditi Patil, Mridul Aanjaneya, Konstantinos P. Michmizos:
An Interactive Framework for Visually Realistic 3D Motion Synthesis using Evolutionarily-trained Spiking Neural Networks. Proc. ACM Comput. Graph. Interact. Tech. 6(1): 12:1-12:19 (2023)- [i16]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - 2022
- [j9]Ioannis Polykretis, Konstantinos P. Michmizos:
The role of astrocytes in place cell formation: A computational modeling study. J. Comput. Neurosci. 50(4): 505-518 (2022) - [j8]Vladimir A. Ivanov, Konstantinos P. Michmizos:
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics. Neural Comput. 34(10): 2047-2074 (2022) - [j7]Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos:
Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [c21]Vladimir A. Ivanov, Konstantinos P. Michmizos:
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity. NeurIPS 2021: 25703-25719 - [i15]Guangzhi Tang, Neelesh Kumar, Ioannis Polykretis, Konstantinos P. Michmizos:
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks. CoRR abs/2110.14092 (2021) - [i14]Vladimir A. Ivanov, Konstantinos P. Michmizos:
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity. CoRR abs/2111.01760 (2021) - 2020
- [c20]Neelesh Kumar, Konstantinos P. Michmizos:
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots. BioRob 2020: 521-526 - [c19]Neelesh Kumar, Konstantinos P. Michmizos:
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots. BioRob 2020: 527-532 - [c18]Praveenram Balachandar, Konstantinos P. Michmizos:
A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head. BioRob 2020: 1128-1133 - [c17]Leo Kozachkov, Konstantinos P. Michmizos:
Sequence Learning in Associative Neuronal-Astrocytic Networks. BI 2020: 349-360 - [c16]Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos:
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. CoRL 2020: 2016-2029 - [c15]Ioannis Polykretis, Guangzhi Tang, Konstantinos P. Michmizos:
An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi. ICONS 2020: 23:1-23:9 - [c14]Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos:
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. IROS 2020: 6090-6097 - [c13]Guangzhi Tang, Konstantinos P. Michmizos:
Real-time Mapping on a Neuromorphic Processor. NICE 2020: 20:1-20:3 - [i13]Praveenram Balachandar, Konstantinos P. Michmizos:
A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head. CoRR abs/2002.07534 (2020) - [i12]Neelesh Kumar, Konstantinos P. Michmizos:
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots. CoRR abs/2002.07541 (2020) - [i11]Neelesh Kumar, Konstantinos P. Michmizos:
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots. CoRR abs/2002.08354 (2020) - [i10]Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos:
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware. CoRR abs/2003.01157 (2020) - [i9]Ioannis Polykretis, Konstantinos P. Michmizos:
An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi. CoRR abs/2006.04765 (2020) - [i8]Guangzhi Tang, Neelesh Kumar, Raymond Yoo, Konstantinos P. Michmizos:
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control. CoRR abs/2010.09635 (2020)
2010 – 2019
- 2019
- [c12]Vladimir A. Ivanov, Ioannis E. Polykretis, Konstantinos P. Michmizos:
Axonal Conduction Velocity Impacts Neuronal Network Oscillations. BHI 2019: 1-4 - [c11]Ioannis E. Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos:
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations. BHI 2019: 1-4 - [c10]Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos:
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. IROS 2019: 4176-4181 - [i7]Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos:
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. CoRR abs/1903.02504 (2019) - [i6]Ioannis E. Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos:
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations. CoRR abs/1903.07533 (2019) - [i5]Vladimir A. Ivanov, Ioannis E. Polykretis, Konstantinos P. Michmizos:
Axonal Conduction Velocity Impacts Neuronal Network Oscillations. CoRR abs/1903.09671 (2019) - [i4]Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov, Arpit Shah, Konstantinos P. Michmizos:
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos. CoRR abs/1907.01620 (2019) - 2018
- [j6]Sheraz Khan, Javeria Hashmi, Fahimeh Mamashli, Konstantinos P. Michmizos, Manfred G. Kitzbichler, Hari M. Bharadwaj, Yousra Bekhti, Santosh Ganesan, Keri A. Garel, Susan L. Whitfield-Gabrieli, Randy L. Gollub, Jian Kong, Lucia Maria Vaina, Kunjan D. Rana, Steven M. Stufflebeam, Matti S. Hämäläinen, Tal Kenet:
Maturation trajectories of cortical resting-state networks depend on the mediating frequency band. NeuroImage 174: 57-68 (2018) - [c9]Ioannis Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos:
The Astrocytic Microdomain as a Generative Mechanism for Local Plasticity. BI 2018: 153-162 - [i3]Sheraz Khan, Javeria Hashmi, Fahimeh Mamashli, Konstantinos P. Michmizos, Manfred G. Kitzbichler, Hari M. Bharadwaj, Yousra Bekhti, Santosh Ganesan, Keri A. Garel, Susan L. Whitfield-Gabrieli, Randy L. Gollub, Jian Kong, Lucia Maria Vaina, Kunjan D. Rana, Steven M. Stufflebeam, Matti S. Hämäläinen, Tal Kenet:
Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band. CoRR abs/1803.04364 (2018) - [i2]Guangzhi Tang, Konstantinos P. Michmizos:
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system. CoRR abs/1807.02155 (2018) - 2017
- [j5]Konstantinos P. Michmizos, Blerta Lindqvist, Stephen Wong, Eric L. Hargreaves, Konstantinos Psychas, Georgios D. Mitsis, Shabbar F. Danish, Konstantina S. Nikita:
Computational Neuromodulation: Future Challenges for Deep Brain Stimulation [Life Sciences]. IEEE Signal Process. Mag. 34(2): 114-119 (2017) - [j4]Kyriaki Kostoglou, Konstantinos P. Michmizos, Pantelis Stathis, Damianos Sakas, Konstantina S. Nikita, Georgios D. Mitsis:
Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings. IEEE Trans. Biomed. Eng. 64(5): 1123-1130 (2017) - [i1]Leo Kozachkov, Konstantinos P. Michmizos:
The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study. CoRR abs/1702.03993 (2017) - 2016
- [c8]Hermano Igo Krebs, Konstantinos P. Michmizos, Linda Monterosso, Joelle Mast:
Pediatric Anklebot: Pilot clinical trial. BioRob 2016: 662-666 - [c7]Jeffrey C. Ames, Konstantinos P. Michmizos:
A biologically inspired image classifier: Adaptive feature detection. EMBC 2016: 3334-3337 - [c6]Roopeswar Kommalapati, Konstantinos P. Michmizos:
Virtual reality for pediatric neuro-rehabilitation: Adaptive visual feedback of movement to engage the mirror neuron system. EMBC 2016: 5849-5852 - 2015
- [j3]Konstantinos P. Michmizos, Polytimi Frangou, Pantelis Stathis, Damianos Sakas, Konstantina S. Nikita:
Beta-Band Frequency Peaks Inside the Subthalamic Nucleus as a Biomarker for Motor Improvement After Deep Brain Stimulation in Parkinson's Disease. IEEE J. Biomed. Health Informatics 19(1): 174-180 (2015) - 2014
- [c5]Konstantinos P. Michmizos, Hermano Igo Krebs:
Modeling reaction time in the ankle. BioRob 2014: 542-547 - 2012
- [j2]Kostis P. Michmizos, Damianos Sakas, Konstantina S. Nikita:
Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity. Neural Networks 36: 146-156 (2012) - [j1]Kostis P. Michmizos, Damianos Sakas, Konstantina S. Nikita:
Prediction of the Timing and the Rhythm of the Parkinsonian Subthalamic Nucleus Neural Spikes Using the Local Field Potentials. IEEE Trans. Inf. Technol. Biomed. 16(2): 190-197 (2012) - [c4]Kyriaki Kostoglou, Kostis P. Michmizos, Pantelis Stathis, Damianos Sakas, Konstantina S. Nikita, Georgios D. Mitsis:
Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models. BIBE 2012: 298-302 - 2011
- [c3]Kostis P. Michmizos, Konstantina S. Nikita:
Local field potential driven Izhikevich model predicts a subthalamic nucleus neuron activity. EMBC 2011: 5900-5903 - [c2]Kostis P. Michmizos, Konstantina S. Nikita:
Addition of deep brain stimulation signal to a local field potential driven Izhikevich model masks the pathological firing pattern of an STN neuron. EMBC 2011: 7290-7293
2000 – 2009
- 2008
- [c1]Kostis P. Michmizos, Georgios L. Tagaris, Damianos E. Sakas, Konstantina S. Nikita:
Automatic intra-operative localization of STN using the beta band frequencies of microelectrode recordings. BIBE 2008: 1-6
Coauthor Index
aka: Ioannis E. Polykretis
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