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engineering and contributes to a continuous refinement of knowledge on how the body works.
Results so far are mixed with the available ev...Objective: DBS outcome depends on accurate stimulation of the STN sensorimotor area which is a trial-and-error procedure taking place during and after surgery.
His broad research interests are medial image analysis, computer vision, image-guided therapy and surgery, and multi-modality and multi-parametric imaging with an emphasis on ultrasound.
Be sure to take 15 hours each semester to graduate on time! The con...Today's artificial neural networks use computational models and algorithms inspired by the knowledge of the brain in the '90s. Although the recent deep reinforcement learning (DRL) approaches have been successfully applied to navigation, their high energy consumption limits their use in several robotic applications. The multitude of CPG network models that have so far become biomimetic robotic controllers is not applicable to the emerging neuromorphic hardware, depriving mobile robots of a robus...Mapping is a critical component for developing a simultaneous localization and mapping (SLAM) system in mobile robots. In this paper, we present the first clinical results from a small feasibility study involving 4 children with Cerebral Palsy.
+ Citations-Citations + Abstracts-Abstracts. He earned the Ph.D. in electrical engineering at the University of Illinois at Urbana-Chapaign in 1999.
This situation creates both a need and an opportunity to deploy technologies such as rehabilitation robotics, and in the last decade and half, several research groups have deployed variations of this technology.
Here, we present an...Energy-efficient simultaneous localization and mapping (SLAM) is crucial for mobile robots exploring unknown environments. Copyright © 2019, Rutgers, The State University of New Jersey. To address this question, we used magnetoencephalography to compare the cortical responses between ASD and typically developing (TD) individuals to a passive mismatch par...Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. From September 2001 to June 2007 he was a Professor in the same department. The design attempts to overcome the known limitations of the lower extremity robotics and the unknown diffic...Little is known about whether our knowledge of how the central nervous system controls the upper extremities, can generalize, and to what extent to the lower limbs. We evaluated the performance of the classifier using the standard approach of measuring the area under the curve (AUC), where an AUC of 0.5 represents chance (dashed blacked line). He is currently directing the Center for Computational Biomedicine, Imaging and Modeling (CBIM). In this study, we investigate whether a linear modification of the LFPs, acquired from microelectrode recordings inside the subthalamic nucleus (STN) of Parkinson's disease patients, can provide...The crucial engagement of the subthalamic nucleus (STN) with the neurosurgical procedure of deep brain stimulation (DBS) that alleviates medically intractable Parkinsonian tremor augments the need to refine our current understanding of STN.
In thi...Energy-efficient simultaneous localization and mapping (SLAM) is crucial for mobile robots exploring unknown environments.
About a decade ago, spiking neural networks (SNNs) emerged as a...The demand for rehabilitation services is growing apace with the graying of the population.
He studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. All rights reserved.Autism, EEG / MEG, Cortical Connectivity and sensorimotor deficiencies, early biomarkersTaught 2.671 Measurement and Instrumentation In this work, we analyzed oscillations in biologically plausible neuronal networks with different c...Deciphering the complex interactions between neurotransmission and astrocytic $Ca^{2+}$ elevations is a target promising a comprehensive understanding of brain function.
Here, we propose a neuro...Mounting evidence suggests that adaptation is a crucial mechanism for rehabilitation robots in promoting motor learning.
Here we describe the development of three SGs, namely the Shipwreck, the Race for Noah's Ark, and Soccer 2014. In our ongoing effort to identify principles endowing the astrocyte with unique functions in brain computation, and translate them into neural-ast...It is true that the "best" neural network is not necessarily the one with the most "brain-like" behavior. Professor Michmizos cares more about his students than any other professor I have ever had. We use a segment of appropriately selected and processed data recorded from five nuclei to acqui...During the last decade, the subthalamic nucleus (STN) has drawn the attention of clinicians and researchers becoming the main target for high-frequency deep brain stimulation of the basal ganglia in patients suffering from movement disorders such as dystonia or Parkinson's disease.