Hesham Mostafa

Title(s)Postdoctoral Scholar, Institute for Neural Computation
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    1. Mostafa H, Ramesh V, Cauwenberghs G. Deep Supervised Learning Using Local Errors. Front Neurosci. 2018; 12:608. PMID: 30233295.
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    2. Mostafa H, Cauwenberghs G. A Learning Framework for Winner-Take-All Networks with Stochastic Synapses. Neural Comput. 2018 06; 30(6):1542-1572. PMID: 29652581.
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    3. Mostafa H, Pedroni B, Sheik S, Cauwenberghs G. Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks. Front Neurosci. 2017; 11:496. PMID: 28932180.
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    4. Mostafa H, Müller LK, Indiveri G. Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States. Neural Comput. 2015 Dec; 27(12):2510-47. PMID: 26496042.
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    5. Mostafa H, Khiat A, Serb A, Mayr CG, Indiveri G, Prodromakis T. Implementation of a spike-based perceptron learning rule using TiO2-x memristors. Front Neurosci. 2015; 9:357. PMID: 26483629.
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    6. Qiao N, Mostafa H, Corradi F, Osswald M, Stefanini F, Sumislawska D, Indiveri G. A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Front Neurosci. 2015; 9:141. PMID: 25972778.
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    7. Mostafa H, Indiveri G. Sequential activity in asymmetrically coupled winner-take-all circuits. Neural Comput. 2014 Sep; 26(9):1973-2004. PMID: 24877737.
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