Dendritic Self-Organizing Maps for Continual Learning
Pinitas K, Chavlis S, Poirazi P
arXiv, Oct 2021 | Link: arxiv.org/abs/2110.13611

Dendritic Computing: Branching Deeper into Machine Learning
Acharyaa J, Basu A, Legenstein R, Limbacher T, Poirazi P, Wu X
Neuroscience, Oct 2021 | DOI: 10.1016/j.neuroscience.2021.10.001

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice
Geiller T, Vancura V, Terada S, Troullinou E, Chavlis S, Tsagkatakis G, Tsakalides P, Ócsai K, Poirazi P, Rózsa BJ, Losonczy A
Neuron, 09 Dec 2020 | DOI: 10.1016/j.neuron.2020.09.013

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks
Troullinou E, Tsagkatakis G, Chavlis S, Turi GF, Li W, Losonczy A, Tsakalides P, Poirazi P
IEEE TETCI, 13 October 2020 | DOI: 10.1109/TETCI.2020.3028581​

A deep learning framework for neuroscience
Richards BA, Lillicrap TP, …, Poirazi P, …, Kording KP
Nature Neuroscience, 28 Oct 2019 | DOI: 10.1038/s41593-019-0520-2

A novel and simple spike sorting implementation
Petrantonakis PC, Poirazi P
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 15 Dec 2016 | DOI: 10.1109/TNSRE.2016.2640858

Dentate Gyrus Circuitry Features Improve Performance of Sparse Approximation Algorithms
Petrantonakis PC, Poirazi P
PLoS One, 30 Jan 2015 | DOI: 10.1371/journal.pone.0117023

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

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, 20 Jun 2013 | DOI: 10.3389/fgene.2013.00110

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors
Gkirtzou K, Tsamardinos I, Tsakalides P, Poirazi P
PLoS One, 06 Aug 2010 | DOI: 10.1371/journal.pone.0011843

Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data
Petalidis LP, Oulas A, Backlund M, Wayland MT, Liu L, Plant K, Happerfield L, Freeman TC, Poirazi P, Collins VP
Molecular Cancer Therapeutics, May 2008 | DOI: 10.1158/1535-7163.mct-07-0177

Use of artificial neural networks and a gamma-concept-based approach to model growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 under conditions simulating Kasseri cheese technology
Poirazi P, Leroy F, Georgalaki MD, Aktypis A, De Vuyst L, Tsakalidou E
Applied and Environmental Microbiology, Feb 2007 | DOI: https://doi.org/10.1128/aem.01721-06

Classification Capacity of a Modular Neural Network Implementing Neurally Inspired Architecture and Training
Poirazi P, Neocleous C, Pattichis CS, Schizas CN
IEEE Transactions on Neural Networks, 10 May 2004 | DOI: 10.1109/TNN.2004.826225

Pyramidal Neuron as 2-Layer Neural Network
Poirazi P, Brannon T, Mel BW
Neuron, 27 Mar 2003 | DOI: 10.1016/s0896-6273(03)00149-1

Impact of Active Dendritic Processing and Structural Plasticity on Learning and Memory
Poirazi P, Mel BW
Neuron, Mar 2001 | DOI: 10.1016/s0896-6273(01)00252-5

Choice and value flexibility jointly contribute to the capacity of a subsampled quadratic classifier
Poirazi P, Mel BW
Neural Computation, 01 May 2000 | DOI: 10.1162/089976600300015556