Here, we propose a deep convolutional neural networ...Robotic vision introduces requirements for real-time processing of fast-varying, noisy information in a continuously changing environment. Orange line, represent average ROC curve for 10-fold validation, standard error of the folds is represented as shaded...Participants in experimental paradigm. In this paper, we discuss the basic principles and challenges faced b...Finding the origin of slow and infra-slow oscillations could reveal or explain brain mechanisms in health and disease. Here, we developed a biophysically constrained 2D compartmental model of an astrocytic microdoma...Mounting experimental evidence suggests that astrocytes have an active role in synaptic modification. 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. He received his BS degree from the School of Physics and Mathematics of the University of Athens – Greece, an M.A. To address this question, we used magnetoencephalography to compare the cortical responses between ASD and typically developing (TD) individuals to a passive mismatch par...Autism spectrum disorder (ASD) is associated with difficulty in processing speech in a noisy background, but the neural mechanisms that underlie this deficit have not been mapped. We aim to verify as much of our data as possible.
It is important to keep the patient engaged during sensorimotor rehabilitation. Dr. Hacihaliloglu is the recipient of various awards including the prestigious Canada’s premiere Network of Centres of Excellence in the mathematical sciences post-doctoral fellowship award for his work on non-iterative multimodal image registration in orthopaedic surgery… Kostas Bekris received his BS degree (2001) in Computer Science at the University of Crete, Greece and completed his MS (2004) and PhD degrees (2008) in Computer Science at Rice University, Houston, TX, under the supervision of Prof. Lydia Kavraki. In 2001 he joined Boston University as a research faculty in the Bioinformatics Program.

He was a Siebel scholarship recipient in 2005 and received the best paper award in SDM 2008… Prof. Pavlovic is the director of SEQAM Lab. Michmizos is an Assistant Professor in Computer Science at Rutgers University and affiliated with the Center for Computational Biomedicine Imaging and Modeling. Results so far are mixed with the available ev...Objective: Twenty-two subjects were recruited to perform simple, 2- and 4-choice RT tasks by visually guiding a cursor inside a rectangular target with their ankle. The LFP is believed to represent the synchronized input into the observed area, as opposed to the spike data, which...Several models, with various degrees of complexity have been proposed to model the neuronal activity from different parts of the human brain. He is noted for his work in Markov decision process, Gittins index, the multi-armed bandit, Markov chains and other related fields. Intranuclear recordings, received from a patien...Deep brain stimulation (DBS) is considered a surgical treatment alternative for Parkinson disease (PD) patients with intractable tremor or for those patients who are affected by long-term complications of levodopa therapy such as motor fluctuations and severe dyskinesias. The aim here is to create a suitable framework where two or more patients, each one working with a robot, can interact not only visually, through the game screen, in an interactive configuratio...Although locating the stimulation contact in Deep Brain Stimulation (DBS) requires a sub-mm-precision, it remains a trial-and-error, patient-specific procedure that is usually the main cause of post-operational side-effects. Here, we present a biophysically constrained computational model of a neural network where the inclusion of astrocytes introduced slow and infra-slow-oscillations, through two distinct mechanisms. Here, we propose a neuro...Mounting evidence suggests that adaptation is a crucial mechanism for rehabilitation robots in promoting motor learning.

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