Induction and modulation of persistent activity in a layer V PFC microcircuit model.
Papoutsi, A., Sidiropoulou, K., Cutsuridis, V., Poirazi, P.
Front Neural Circuits. 2013 Oct 9;7:161. doi: 10.3389/fncir.2013.00161

Tags: 2013 , Circuit Model , Learning and Memory , Neuroscience , Prefrontal Cortex

Kastellakis G. and Poirazi P.
Cellular and dendritic memory allocation. In: Cuntz H., Remme M., Torben-Nielsen B. (eds) The Computing Dendrite, Springer Series in Computational Neuroscience, vol. 11, pp. 415-432. Springer, New York, NY (2014). doi: https://doi.org/10.1007/978-1-4614-8094-5_25
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Tags: 2013 , Dendritic Computations , Learning and Memory , Neuroscience

Towards predicting persistent activity of neurons by statistical and fractal dimension-based features
Petrantonakis, P.C., Papoutsi, A., Poirazi, P.
The 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX, 4-9 August, 2013. doi: 10.1109/IJCNN.2013.6707083

Tags: 2013 , Machine Learning , Neuroscience

Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response
Manioudaki, M.E., Poirazi, P.
Front Genet. 2013 Jun 20;4:110. doi: 10.3389/fgene.2013.00110

Tags: 2013 , Bioinformatics , Machine Learning

Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses
Romani, A., Marchetti, C., Bianchi, D., Leinekugel, X., Poirazi, P., Migliore, M., Marie, H.
Front Comput Neurosci. 2013 Jan 25;7:1. doi: 10.3389/fncom.2013.00001

Tags: 2013 , Hippocampus , Neural Computations , Neuroscience , Plasticity