Kostis P. Michmizos

Orcid: 0000-0002-2584-7940

Affiliations:
  • 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.

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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
Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware.
Trans. Mach. Learn. Res., 2022

Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics.
Neural Comput., 2022

The role of astrocytes in place cell formation: A computational modeling study.
J. Comput. Neurosci., 2022

2021
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks.
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

Real-time Mapping on a Neuromorphic Processor.
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

Sequence Learning in Associative Neuronal-Astrocytic Networks.
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

Axonal Conduction Velocity Impacts Neuronal Network Oscillations.
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

The Astrocytic Microdomain as a Generative Mechanism for Local Plasticity.
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

A biologically inspired image classifier: Adaptive feature detection.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Pediatric Anklebot: Pilot clinical trial.
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
Modeling reaction time in the ankle.
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


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