Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Islam Badreldin"'
Autor:
Karthikeyan Balasubramanian, Mukta Vaidya, Joshua Southerland, Islam Badreldin, Ahmed Eleryan, Kazutaka Takahashi, Kai Qian, Marc W. Slutzky, Andrew H. Fagg, Karim Oweiss, Nicholas G. Hatsopoulos
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Previous studies have shown short-term plasticity in single neurons or local field potentials during brain-machine interface (BMI) training. Here the authors report long-term changes in functional connectivity of motor cortex neuronal ensemble activi
Externí odkaz:
https://doaj.org/article/a29f3efabc3f4ec99eb1e24bee44b731
Publikováno v:
ISVLSI
Embedded computing systems are becoming increasingly complex, now performing tasks that were generally limited to desktop computing systems. However, embedded system designers are still required to adhere to stringent embedded design constraints (e.g
Publikováno v:
ISVLSI
The cache subsystem is a major contributor to energy consumption in commercial microprocessors used in embedded systems. To reduce energy, designers can perform design space exploration (DSE) to determine a suitable cache configuration that matches s
Autor:
Marc W. Slutzky, Suchin Gururangan, Mukta Vaidya, Karim Oweiss, Ahmed Eleryan, Andrew H. Fagg, Leslie C. Osborne, Kelsey Shattuck, Joshua Southerland, Islam Badreldin, Karthikeyan Balasubramanian, Nicholas G. Hatsopoulos
Publikováno v:
Journal of neurophysiology. 119(4)
The development of coordinated reach-to-grasp movement has been well studied in infants and children. However, the role of motor cortex during this development is unclear because it is difficult to study in humans. We took the approach of using a bra
Autor:
Islam Badreldin, Karim Oweiss
Brain-machine interfaces rely on extracting motor control signals from brain activity in real time to actuate external devices such as robotic limbs. Whereas biomimetic approaches to neural decoding use motor imagery/observation signals, non-biomimet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd881aaf919c287e50f1d30e1a1f34d
https://doi.org/10.1101/023689
https://doi.org/10.1101/023689
Autor:
Karim Oweiss, Islam Badreldin
Publikováno v:
ACSSC
Neuromotor prostheses have the potential of restoring movement ability in patients with severe motor dysfuncion. In cortically-controlled neuromotor prostheses, the design of neural decoders for motor impaired patients requires initialization using a
Autor:
Karim Oweiss, Islam Badreldin
Publikováno v:
Neurobiology of Disease, Vol 83, Iss, Pp 161-171 (2015)
Neuroplasticity is key to the operation of brain machine interfaces (BMIs)—a direct communication pathway between the brain and a man-made computing device. Whereas exogenous BMIs that associate volitional control of brain activity with neurofeedba
Autor:
Islam Badreldin, Ahmed Eleryan, Joshua Southerland, Nicholas G. Hatsopoulos, Mukta Vaidya, Karim Oweiss, Andrew H. Fagg, Karthikeyan Balasubramanian
Publikováno v:
Frontiers in Neuroengineering
In the study of population coding in neurobiological systems, tracking unit identity may be critical to assess possible changes in the coding properties of neuronal constituents over prolonged periods of time. Ensuring unit stability is even more cri
Autor:
Karthikeyan Balasubramanian, Joshua Southerland, Ahmed Eleryan, Andrew H. Fagg, Nicholas G. Hatsopoulos, Mukta Vaidya, Islam Badreldin, Karim Oweiss
Publikováno v:
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
Multiple single-units recorded from chronically-implanted microelectrode arrays frequently exhibit variability in their spike waveform features and firing characteristics, making it challenging to ascertain the identity of recorded neurons across day
Autor:
Andrew H. Fagg, Karthikeyan Balasubramanian, Joshua Southerland, Karim Oweiss, Islam Badreldin, Mukta Vaidya, Nicholas G. Hatsopoulos, Ahmed Eleryan
Publikováno v:
2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
One of the key elements in the design of neuro-motor Brain-Machine Interfaces (BMIs) is the neural decoder design. In a biomimetic approach, the decoder is typically trained from concurrent recordings of neural and kinematic or motor imagery data. Th