CoMuS: simulating coalescent histories and polymorphic data from multiple species von Papadantonakis, S., Poirazi, P., Pavlidis, P.

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Opening up: open access publishing, data sharing, and how they can influence your neuroscience career von Spires-Jones, T. L., Poirazi, P., Grubb, M. S.

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MicroRNAs and Cancer-The Search Begins von Oulas, A., Reczko, M., Poirazi, P.

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Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning von Turi, Gergely Farkas, Li, Wen-Ke, Chavlis, Spyridon, Pandi, Ioanna, O’Hare, Justin, Priestley, James Benjamin, Grosmark, Andres Daniel, Liao, Zhenrui, Ladow, Max, Zhang, Jeff Fang, Zemelman, Boris Valery, Poirazi, Panayiota, Losonczy, Attila

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Impact of Active Dendrites and Structural Plasticity on the Memory Capacity of Neural Tissue von Poirazi, Panayiota, Mel, Bartlett W.

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Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell von Poirazi, Panayiota, Brannon, Terrence, Mel, Bartlett W.

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Pyramidal Neuron as Two-Layer Neural Network von Poirazi, Panayiota, Brannon, Terrence, Mel, Bartlett W.

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Towards democratizing and automating online conferences: lessons from the neuromatch conferences von Achakulvisut, T, Ruangrong, T, Mineault, P, Vogels, TP, Peters, MAK, Poirazi, P, Rozell, C, Wyble, B, Goodman, DFM, Kording, KP

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Classification capacity of a modular neural network implementing neurally inspired architecture and training rules von Poirazi, P., Neocleous, C., Pattichis, C.S., Schizas, C.N.

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A deep learning framework for neuroscience von Richards, BA, Lillicrap, TP, Beaudoin, P, Bengio, Y, Bogacz, R, Christensen, A, Clopath, C, Costa, RP, De Berker, A, Ganguli, S, Gillon, CJ, Hafner, D, Kepecs, A, Kriegeskorte, N, Latham, P, Lindsay, GW, Naud, R, Pack, CC, Poirazi, P, Roelfsema, P, Sacramento, J, Saxe, A, Scellier, B, Schapiro, A, Senn, W, Greg, W, Yamins, D, Zenke, F, Zylberberg, J, Therien, D, Kording, KP

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Utilization of SSCprofiler to Predict a New miRNA Gene von Oulas, Anastasis, Poirazi, Panayiota

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Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data von Petalidis, Lawrence P, Oulas, Anastasis, Backlund, Magnus, Wayland, Matthew T, Liu, Lu, Plant, Karen, Happerfield, Lisa, Freeman, Tom C, Poirazi, Panayiota, Collins, V Peter

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Computational Identification of miRNAs Involved in Cancer von Oulas, Anastasis, Karathanasis, Nestoras, Poirazi, Panayiota

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Modelling reduced excitability in aged CA1 neurons as a calcium-dependent process von Markaki, Maria, Orphanoudakis, Stelios, Poirazi, Panayiota

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Mature miRNA identification via the use of a Naive Bayes classifier von Gkirtzou, K., Tsakalides, P., Poirazi, P.

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Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier von Poirazi, Panayiota, Mel, Bartlett W.

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Towards the memory capacity of neurons with active dendrites von Poirazi, Panayiota, Mel, Bartlett W.

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Balancing family with a successful career in neuroscience von Poirazi, P, Belin, D, Gräff, J, Hanganu-Opatz, IL, López-Bendito, G

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A deep learning framework for neuroscience von Richards, BA, Lillicrap, TP, Beaudoin, P, Bengio, Y, Bogacz, R, Christensen, A, Clopath, C, Costa, RP, de Berker, A, Ganguli, S, Gillon, CJ, Hafner, D, Kepecs, A, Kriegeskorte, N, Latham, P, Lindsay, GW, Miller, KD, Naud, R, Pack, CC, Poirazi, P, Roelfsema, P, Sacramento, J, Saxe, A, Scellier, B, Schapiro, AC, Senn, W, Wayne, G, Yamins, D, Zenke, F, Zylberberg, J, Therien, D, Kording, KP

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MicroRNAs and CanceraThe Search Begins von Oulas, A, Reczko, M, Poirazi, P

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