Kostis P. Michmizos
Orcid: 0000-0002-2584-7940Affiliations:
- Rutgers University, Department of Computer Science, Computational Brain Lab, NJ, USA
According to our database1,
Kostis P. Michmizos
authored at least 37 papers
between 2008 and 2023.
Collaborative distances:
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Bibliography
2023
An Interactive Framework for Visually Realistic 3D Motion Synthesis using Evolutionarily-trained Spiking Neural Networks.
Proc. ACM Comput. Graph. Interact. Tech., 2023
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023
2022
Trans. Mach. Learn. Res., 2022
Neural Comput., 2022
J. Comput. Neurosci., 2022
2021
CoRR, 2021
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi.
CoRR, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi.
Proceedings of the International Conference on Neuromorphic Systems, 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control.
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the Brain Informatics - 13th International Conference, 2020
Deep Learning of Movement Intent and Reaction Time for EEG-informed Adaptation of Rehabilitation Robots.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
A Spiking Neural Network Emulating the Structure of the Oculomotor System Requires No Learning to Control a Biomimetic Robotic Head.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
2019
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos.
CoRR, 2019
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Maturation trajectories of cortical resting-state networks depend on the mediating frequency band.
NeuroImage, 2018
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system.
CoRR, 2018
Proceedings of the Brain Informatics - International Conference, 2018
2017
Classification and Prediction of Clinical Improvement in Deep Brain Stimulation From Intraoperative Microelectrode Recordings.
IEEE Trans. Biomed. Eng., 2017
Computational Neuromodulation: Future Challenges for Deep Brain Stimulation [Life Sciences].
IEEE Signal Process. Mag., 2017
The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study.
CoRR, 2017
2016
Virtual reality for pediatric neuro-rehabilitation: Adaptive visual feedback of movement to engage the mirror neuron system.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2015
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, 2015
2014
Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014
2012
Prediction of the Timing and the Rhythm of the Parkinsonian Subthalamic Nucleus Neural Spikes Using the Local Field Potentials.
IEEE Trans. Inf. Technol. Biomed., 2012
Parameter identification for a local field potential driven model of the Parkinsonian subthalamic nucleus spike activity.
Neural Networks, 2012
Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
Addition of deep brain stimulation signal to a local field potential driven Izhikevich model masks the pathological firing pattern of an STN neuron.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Local field potential driven Izhikevich model predicts a subthalamic nucleus neuron activity.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2008
Automatic intra-operative localization of STN using the beta band frequencies of microelectrode recordings.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008