Martin Bogdan

Affiliations: 
Faculty of Informatics and Mathematics, Leipzig, Germany 
Area:
Biologically inspired ANN, neural sciences
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"Martin Bogdan"
Mean distance: 53433
 
Cross-listing: MathTree

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Publications

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Feigl J, Bogdan M. (2019) Neural networks for personalized item rankings Neurocomputing. 342: 60-65
Ramos-Murguialday A, García-Cossio E, Walter A, et al. (2015) Decoding upper limb residual muscle activity in severe chronic stroke. Annals of Clinical and Translational Neurology. 2: 1-11
Gharabaghi A, Naros G, Khademi F, et al. (2014) Learned self-regulation of the lesioned brain with epidural electrocorticography. Frontiers in Behavioral Neuroscience. 8: 429
Gerjets P, Walter C, Rosenstiel W, et al. (2014) Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach. Frontiers in Neuroscience. 8: 385
Spüler M, Walter A, Ramos-Murguialday A, et al. (2014) Decoding of motor intentions from epidural ECoG recordings in severely paralyzed chronic stroke patients. Journal of Neural Engineering. 11: 066008
Gharabaghi A, Naros G, Walter A, et al. (2014) From assistance towards restoration with epidural brain-computer interfacing. Restorative Neurology and Neuroscience. 32: 517-25
Gharabaghi A, Naros G, Walter A, et al. (2014) Epidural electrocorticography of phantom hand movement following long-term upper-limb amputation. Frontiers in Human Neuroscience. 8: 285
Gharabaghi A, Kraus D, Leão MT, et al. (2014) Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motor cortex excitability for neurorehabilitation. Frontiers in Human Neuroscience. 8: 122
Bensch M, Martens S, Halder S, et al. (2014) Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography. Journal of Neural Engineering. 11: 026006
El Laithy K, Bogdan M. (2014) Synaptic energy drives the information processing mechanisms in spiking neural networks. Mathematical Biosciences and Engineering : Mbe. 11: 233-56
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