Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Chavlis S, Poirazi P
arXiv, Apr 2024 | URL: arXiv:2404.03708

Tags: artificial neural networks , Dendrites , Machine Learning , Preprint

Delay-Sensitive Local Plasticity in Echo State Networks
Iacob S, Cavlis S, Poirazi P, Dambre J
International Joint Conference on Neural Networks (IJCNN)
, Jun 2023 | DOI: 10.1109/IJCNN54540.2023.10191901

Tags: 2023 , Machine Learning , Plasticity

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
Malakasis N, Chavlis S, Poirazi P
bioRχiv, May 2023 | DOI: 10.1101/2023.05.22.541722

Tags: 2023 , Learning and Memory , Machine Learning , Plasticity , Preprint

A Generative Neighborhood-based Deep Autoencoder for Robust Imbalanced Classification
Troullinou E, Tsagkatakis G, Losonczy A, Poirazi P, Tsakalides P
IEEE Transactions on Artificial Intelligence, Feb 2023 | DOI: 10.1109/TAI.2023.3249685

Tags: 2023 , Machine Learning

Dendritic Self-Organizing Maps for Continual Learning
Pinitas K, Chavlis S, Poirazi P
arXiv, Oct 2021 | URL: arXiv:2110.13611

Tags: 2021 , Machine Learning , Preprint

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

Tags: 2021 , Dendritic Computations , Machine Learning , Review

Drawing inspiration from biological dendrites to empower artificial neural networks
Chavlis S, Poirazi P
Current Opinion in Neurobiology, Oct 2021 | DOI: 10.1016/j.conb.2021.04.007 | Zenodo (Open-Access)
arXiv, Jun 2021 | URL: arXiv:2106.07490

Tags: 2021 , Dendritic Computations , Machine Learning , Perspective

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, Dec 2020 | DOI: 10.1016/j.neuron.2020.09.013

Tags: 2020 , Interneurons , Machine Learning , Neuroscience , Spatial Navigation

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 Transactions on Emerging Topics in Computational Intelligence, Oct 2020 | DOI: 10.1109/TETCI.2020.3028581​

Tags: 2020 , Interneurons , Machine Learning , Neuroscience

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

Tags: 2019 , Machine Learning , Neuroscience , Perspective , Structure-Function

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

Tags: 2016 , Machine Learning , Neuroscience , Spike Sorting

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

Tags: 2015 , Hippocampus , Machine Learning , Neuroscience

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

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

Tags: 2010 , Bioinformatics , Machine Learning

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

Tags: 2008 , Bioinformatics , Machine Learning

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:

Tags: 2007 , Bioinformatics , Machine Learning

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, May 2004 | DOI: 10.1109/TNN.2004.826225

Tags: 2004 , Dendrites , Learning and Memory , Machine Learning

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


Tags: 2003 , Biophysical Model , CA1 , Dendritic Computations , Hippocampus , Machine Learning , Neural Computations , Neuroscience , Single Neuron Model

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


Tags: 2001 , Dendrites , Dendritic Computations , Dendritic Plasticity , Learning and Memory , Machine Learning , Neural Computations , Structure-Function

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

Tags: 2000 , Dendrites , Dendritic Computations , Learning and Memory , Machine Learning , Neuroscience