Kastellakis G, 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: 10.1007/978-1-4614-8094-5_25

Tags: 2013 , Dendritic Computations , Learning and Memory , Neuroscience

Induction and modulation of persistent activity in a layer V PFC microcircuit model.
Papoutsi A, Sidiropoulou K, Cutsuridis V, Poirazi P
Frontiers in Neural Circuits, Oct 2013 | DOI: 10.3389/fncir.2013.00161

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

Towards predicting persistent activity of neurons by statistical and fractal dimension-based features
Petrantonakis PC, 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 ME, Poirazi P
Frontiers in Genetics, Jun 2013 | 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
Frontiers in Computational Neuroscience, Jan 2013 | DOI: 10.3389/fncom.2013.00001

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