Amr Farahat
Overview
Explore the profile of Amr Farahat including associated specialties, affiliations and a list of published articles.
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5
Citations
19
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Recent Articles
1.
Voegtle A, Terzic L, Farahat A, Hartong N, Galazky I, Hinrichs H, et al.
Commun Biol
. 2024 Jul;
7(1):798.
PMID: 38956172
Ventrointermediate thalamic stimulation (VIM-DBS) modulates oscillatory activity in a cortical network including primary motor cortex, premotor cortex, and parietal cortex. Here we show that, beyond the beneficial effects of VIM-DBS...
2.
Farahat A, Effenberger F, Vinck M
Neural Netw
. 2023 Sep;
167:400-414.
PMID: 37673027
Convolutional neural networks (CNNs) are one of the most successful computer vision systems to solve object recognition. Furthermore, CNNs have major applications in understanding the nature of visual representations in...
3.
Voegtle A, Terlutter C, Nikolai K, Farahat A, Hinrichs H, Sweeney-Reed C
Cerebellum
. 2022 Oct;
22(6):1152-1165.
PMID: 36239839
Cerebellum (CB) and primary motor cortex (M1) have been associated with motor learning, with different putative roles. Modulation of task performance through application of transcranial direct current stimulation (TDCS) to...
4.
Terzic L, Voegtle A, Farahat A, Hartong N, Galazky I, Nasuto S, et al.
Hum Brain Mapp
. 2022 Jul;
43(15):4791-4799.
PMID: 35792001
The network of brain structures engaged in motor sequence learning comprises the same structures as those involved in tremor, including basal ganglia, cerebellum, thalamus, and motor cortex. Deep brain stimulation...
5.
Farahat A, Reichert C, Sweeney-Reed C, Hinrichs H
J Neural Eng
. 2019 Aug;
16(6):066010.
PMID: 31416059
Objective: Convolutional neural networks (CNNs) have proven successful as function approximators and have therefore been used for classification problems including electroencephalography (EEG) signal decoding for brain-computer interfaces (BCI). Artificial neural...