FPGA-based training of bio-inspired dendritic neural networks with Hebbian-augmented learning
Palatiana N, Pantzekos L, Tsagkatakis G, Chavlis S, Poirazi P, Dollas A
techRxiv, Oct 2025 | DOI: 10.36227/techrxiv.176049736.65323729

Distinct dendritic integration strategies control dynamics of inhibition in the neocortex
Morabito A, Zerlaut Y, Dhanasobhon D, Berthaux E, Pihno M C, Tzilivaki A, Moneron G, Cathala L, Poirazi P, Bacci A, DiGregorio A D, Lourenço J, Rebola N
bioRxiv, Jun 2025 | DOI: 10.1016/j.neuron.2025.05.029

Contextual modulation and blunted defensive responses to predators in head-fixed and freely moving mice
Ritter M, Chirich Barreira LM, Sach L, Hakus A, Öktem KS, Bergmann R, Voigt A, Schimtz D, Poirazi P, Larkum EM, Sachden NSR
bioRxiv, Jun 2025 | DOI: 10.1101/2025.06.09.658679

Spontaneous dynamics predict the effects of targeted intervention in hippocampal neuronal cultures
Tentori E, Kastellakis G, Maschietto M, Leparulo A, Poirazi P, Mazzucato L, Allegra M, Vassanelli S
bioRxiv, May 2025 | DOI: 10.1101/2025.04.29.651327

From morphology to computation: How synaptic organization shapes place fields in CA1 pyramidal neurons
Tasciotti S, Iascone DM, Chavlis S, Hammond L, Katz Y, Losonczy A, Polleaux F, Poirazi P
bioRxiv, Jun 2025 | DOI: 10.1101/2025.05.30.657022

Compartmentalized dendritic plasticity in the mouse retrosplenial cortex links contextual memories formed close in time
Sehgal M, Filho DA, Kastellakis G, Kim S, Lee J, Shen Y, Huang S, Lavi A, Fernandes G, Davila Mejia I, Martin SS, Pekcan A, Wu MS, Heo WD, Poirazi P, Trachtenberg JT, Silva AJ
Nature Neuroscience, Feb 2025 | DOI: 10.1038/s41593-025-01876-8

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Chavlis S, Poirazi P
Nature Communications, Jan 2025 | DOI: 10.1038/s41467-025-56297-9
arXiv, Apr 2024 | URL: arXiv:2404.03708

DendroTweaks: An interactive approach for unraveling dendritic dynamics
Makarov R, Chavlis S, Poirazi P
eLife, Nov 2024| DOI: 10.7554/eLife.103324.1
bioRχiv, Sept 2024 | DOI: 10.1101/2024.09.06.611191

A dendritic substrate for temporal diversity of cortical inhibition
Morabito A, Zerlaut Y, Dhanasobhon D, Berthaux E, Tzilivaki A, Moneron G, Cathala L, Poirazi P, Bacci A, DiGregorio D, Joana Lourenco J, Rebola Ν
bioRχiv, Jul 2024 | DOI: 10.1101/2024.07.09.602783

Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Pagkalos M, Makarov R, Poirazi P
Current Opinion in Neurobiology, Apr 2024 | DOI:  10.1016/j.conb.2024.102853
arXiv, Jun 2023 | URL: arXiv:2306.08007

Modeling apical and basal tree contribution to orientation selectivity in a mouse primary visual cortex layer 2/3 pyramidal cell
Petousakis K E, Park J, Papoutsi A, Smirnakis S, Poirazi P
eLife, Dec 2023 | DOI: 10.7554/eLife.91627
bioRχiv, Aug 2023 | DOI: 10.1101/2022.07.28.501858

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
Malakasis N, Chavlis S, Poirazi P
Asilomar Conference on Signals, Systems, and Computers (IEEE), Oct 2023 | DOI: 10.1109/IEEECONF59524.2023.10476829
bioRχiv, May 2023 | DOI:  10.1101/2023.05.22.541722

A generative neighborhood-based deep autoencoder with an extended loss function for robust imbalanced classification
Troullinou E, Tsagkatakis G, Losonczy A, Poirazi P, Tsakalides P
Asilomar Conference on Signals, Systems, and Computers (IEEE), Oct 2023 | DOI: 10.1109/IEEECONF59524.2023.10476931

Hippocampal GABAergic interneurons and memory
Alexandra Tzilivaki, John J Tukker, Nikolaus Maier, Panayiota Poirazi, Rosanna P Sammons, Dietmar Schmitz
Neuron, Oct 2023 | DOI: 10.1016/j.neuron.2023.06.016

The dendritic engram
Kastellakis G, Tasciotti S, Pandi I, Poirazi P
Frontiers in Behavioral Neuroscience, Jul 2023 | DOI: 10.3389/fnbeh.2023.1212139

Dendrites and efficiency: Optimizing performance and resource utilization
Makarov R, Pagkalos M, Poirazi P
Current Opinion in Neurobiology, Dec 2023 | DOI: 10.1016/j.conb.2023.102812
arXiv, Jun 2023 | URL: arXiv:2306.07101

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

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

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks
Pagkalos M, Chavlis S, Poirazi P
Nature Communications, Jan 2023 | DOI: 10.1038/s41467-022-35747-8
bioRχiv, Dec 2022 | DOI: 10.1101/2022.05.03.490412

Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit
Bilash O M, Chavlis S, Johnson C D, Poirazi P, Basu J
Cell Reports, Jan 2023 | DOI: 10.1016/j.celrep.2022.111962
bioRχiv, Jan 2022 | DOI: 10.1101/2022.01.13.476247

The impact of Hodgkin-Huxley models on dendritic research
Petousakis K E, Apostolopoulou A A, Poirazi P
Journal of Physiology, Oct 2022 | DOI: 10.1113/JP282756

A locus coeruleus-dorsal CA1 dopaminergic circuit modulates memory linking
Chowdhury A, Luchetti A, Fernandes G, Almeida Filho D, Kastellakis G, Tzilivaki A, Ramirez EM, Tran MY, Poirazi P, Silva AJ
NEURON, Aug 2022 | DOI: 10.1016/j.neuron.2022.08.001
bioRχiv, Oct 2021 | DOI: 10.1101/2021.10.27.466138

GABAergic Interneurons with nonlinear dendrites: from neuronal computations to memory engrams
Tzilivaki A, Kastellakis G, Schmitz D, Poirazi P
Neuroscience, Nov 2021 | DOI: 10.1016/j.neuroscience.2021.11.033

Co-allocation to overlapping dendritic branches in the retrosplenial cortex integrates contextual memories across time
Sehgal M, Filho D A, Martin S, Mejia D I, Kastellakis G, Kim S, Lee J, Pekcan A, Huang S, Lavi A, Heo W D, Poirazi P, Trachtenberg J, Silva AJ
bioRχiv, Nov 2021 | DOI: doi.org/10.1101/2021.10.28.466343

Dendritic self-organizing maps for Continual Learning
Pinitas K, Chavlis S, Poirazi P
arXiv, Oct 2021 | URL: arXiv: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

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

Towards democratizing and automating online conferences: Lessons from the Neuromatch Conferences
Achakulvisut T, Ruangrong T, Mineault P, Vogels TP, Peters MAK, Poirazi P, Rozell C, Wyble B, Goodman DFM, Kording KP
Trends in Cognitive Sciences, Feb 2021 | DOI: 10.1016/j.tics.2021.01.007

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

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​

Reflections on the past two decades of neuroscience
Bassett DS, Cullen KE, …, Poirazi P, …, Sur M, Ueda HR
Nature Reviews Neuroscience, Sep 2020 | DOI:  10.1038/s41583-020-0363-6

Illuminating dendritic function with computational models
Poirazi P, Papoutsi A
Nature Reviews Neuroscience, May 2020 | DOI: 10.1038/s41583-020-0301-7

Breakdown of spatial coding and interneuron synchronization in epileptic mice
Shuman T, Aharoni D, Cai DJ, Lee CR, Chavlis S, Page-Harley L, Vetere LM, Feng Y, Yang CY, Mollinedo-Gajate I, Chen L, Pennington ZT, Taxidis J, Flores SE, Cheng K, Javaherian M, Kaba CC, Rao N, La-Vu M, Pandi I, Shtrahman M, Bakhurin KI, Masmanidis SC, Khakh BS, Poirazi P, Silva AJ, Golshani P
Nature Neuroscience, Jan 2020 | DOI: 10.1038/s41593-019-0559-0

Dendritic action potentials and computation in human layer 2/3 cortical neurons
Gidon A, Zolnik TA, Fidzinski P, Bolduan F, Papoutsi A, Poirazi P, Holtkamp M, Vida I, Larkum ME
Science, Jan 2020 | DOI: 10.1126/science.aax6239
[Podcast at Quanta Magazine]

Synaptic Clustering and Memory Formation
Kastellakis G, Poirazi P
Frontiers in Molecular Neuroscience, Dec 2019 | 10.3389/fnmol.2019.00300

Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons
Park J, Papoutsi A, Ash RT, Marin MA, Poirazi P, Smirnakis SM
Nature Communications, November 2019 | DOI: 10.1038/s41467-019-13029-0

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

Structured connectivity exploits NMDA non-linearities to enable flexible encoding of multiple memoranda in a PFC circuit model
Stefanou SS, Papoutsi A, Poirazi P
bioRχiv, Aug 2019 | DOI: 10.1101/733519

Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators
Tzilivaki A, Kastellakis G, Poirazi P
Nature Communications, Aug 2019 | DOI: 10.1038/s41467-019-11537-7

Optically induced calcium-dependent gene activation and labeling of active neurons using CaMPARI and Cal-light
Ebner C, Ledderose J, Zolnik TA, Dominiak SE, Turko P, Papoutsi A, Poirazi P, Eickholt BJ, Vida I, Larkum ME, Sachdev RNS
Frontiers in Synaptic Neuroscience, May 2019 | DOI: 10.3389/fnsyn.2019.00016

Vasoactive intestinal polypeptide-expressing interneurons in the hippocampus support goal-oriented spatial learning
Turi GF, Li WK, Chavlis S, Pandi I, O’Hare J, Priestley JB, Grosmark AD, Liao Z, Ladow M, Zhang JF, Zemelman BV, Poirazi P, Losonczy A
Neuron, Mar 2019 | DOI: 10.1016/j.neuron.2019.01.009

Two distinct sets of Ca2+ and K+ channels are activated at different membrane potentials by the climbing fiber synaptic potential in Purkinje neuron dendrites
Ouares KA, Filipis L, Tzilivaki A, Poirazi P, Canepari M
Journal of Neuroscience, Jan 2019 | DOI: 10.1523/JNEUROSCI.2155-18.2018

Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory
Frank AC, Huang S, Zhou M, Gdalyahu A, Kastellakis G, Silva TK, Lu E, Wen X, Poirazi P, Trachtenberg JT, Silva AJ
Nature Communications, January 2018 | DOI: 10.1038/s41467-017-02751-2

Bozelos P, Poirazi P
Impact of structural plasticity on memory capacity. In: van Ooyen A, Butz-Ostendorf M (eds) The Rewiring Brain: A computational approach to structural plasticity in the adult brain, pp. 319-341. Academic Press (2017) | DOI: 10.1016/B978-0-12-803784-3.00015-9

Basal tree complexity shapes functional pathways in the prefrontal cortex
Papoutsi A, Kastellakis G, Poirazi P
Journal of Neurophysiology, Oct 2017 | DOI: 10.1152/jn.00099.2017

…with Love, from Post to Pre
Poirazi P, Kastellakis G
Neuron, Sep 2017 | DOI: 10.1016/j.neuron.2017.09.02

An architecture for the acceleration of a hybrid leaky integrate and fire SNN on the convey HC-2ex FPGA-based processor
Kousanakis E, Dollas A, Sotiriadis E, Papaeustathiou I, Pnevmatikakos DN, Papoutsi A, Petrantonakis PC, Poirazi P, Chavlis S, Kastellakis G
IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) – 2017, Napa, CA, USA | DOI: 10.1109/FCCM.2017.51

Synaptic plasticity in dendrites: complications and coping strategies
Mel BW, Schiller J, Poirazi P
Current Opinion in Neurobiology, Apr 2017 | DOI:  10.1016/j.conb.2017.03.012

Pattern separation in the Hippocampus through the eyes of computational modeling 
Chavlis S, Poirazi P
Synapse, Mar 2017 | DOI: 10.1002/syn.21972

In vivo imaging of dentate gyrus mossy cells in behaving mice
Danielson NB, Turi GF, Ladow M, Chavlis S, Petrantonakis PC, Poirazi P, Losonczy A
Neuron, Feb 2017 | DOI: 10.1016/j.neuron.2016.12.019

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

Linking memories across time via neuronal and dendritic overlaps in model neurons with active dendrites
Kastellakis G, Silva AJ, Poirazi P
Cell Reports, Nov 2016 | DOI:  10.1016/j.celrep.2016.10.015

Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity
Chavlis S, Petrantonakis CP, Poirazi P
Hippocampus,  Oct 2016 | DOI: 10.1002/hipo.22675

Balancing family with a successful career in neuroscience.
Poirazi P, Belin D, Gräff J, Hanganu‐Opatz I, López‐Bendito G
European Journal of Neuroscience, May 2016 | DOI: 10.1111/ejn.13280

Opening Up: open access publishing, data sharing, and how they can influence your neuroscience career
Spires-Jones TL, Poirazi P, Grubb MS
European Journal of Neuroscience, March 2016 | DOI: 10.1111/ejn.13234

Stefanou SS, Kastellakis G, Poirazi P
Creating and constraining compartmental models of neurons using experimental data. In: Korngreen A (eds) Advanced patch-clamp analysis for neuroscientists, vol. 113, pp. 325-343. Humana Press, New York, NY (2016) | DOI: 10.1007/978-1-4939-3411-9_15

The road to independence: how to get funding in neuroscience
Yaksi E, Poirazi P, Hanganu-Opatz I
European Journal of Neuroscience, Jan 2016 | DOI: 10.1111/ejn.13169

REMOD: A tool for analyzing and remodeling the dendritic architecture of neural cells
Bozelos P, Stefanou SS, Bouloukakis G, Melachrinos C, Poirazi P
Frontiers in Neuroanatomy, January 2016 | DOI: 10.3389/fnana.2015.00156

A simple method to simultaneously detect and identify spikes from raw extracellular recordings
Petrantonakis PC, Poirazi P
Frontiers in Neuroscience, Dec 2015 | DOI: 10.3389/fnins.2015.00452

Emerging applications of read profiles towards the functional annotation of the genome
Pundhir S, Poirazi P, Gorodkin J
Frontiers in Genetics, May 2015 | DOI: 10.3389/fgene.2015.00188

MiRduplexSVM: A high-performing miRNA-duplex prediction and evaluation methodology
Karathanasis N, Tsamardinos I, Poirazi P
PLoS One, May 2015 | DOI: 10.1371/journal.pone.0126151

The Hitchhiker’s Guide to a Neuroscience Career
Joëls M, Hoogenraad CC, Poirazi P, Di Luca M
Neuron, May 2015 | DOI: 10.1016/j.neuron.2015.04.002

A computational study on how theta modulated inhibition can account for the long temporal windows in the entorhinal-hippocampal loop
Cutsuridis V, Poirazi P
Neurobiology of Learning and Memory, Apr 2015 | DOI: 10.1016/j.nlm.2015.02.002

Synaptic clustering within dendrites: An emerging theory of memory formation
Kastellakis G, Cai DJ, Mednick SC, Silva AJ, Poirazi P
Progress in Neurobiology, Mar 2015 | DOI: 10.1016/j.pneurobio.2014.12.002.

Dentate gyrus circuitry features improve performance of sparse approximation algorithms
Petrantonakis PC, Poirazi P
PLoS One, Jan 2015 | DOI: 10.1371/journal.pone.0117023

Oulas A, Karathanasis N, Louloupi A, Pavlopoulos GA, Poirazi P, Kalantidis K, Iliopoulos I
Prediction of miRNA Targets. In: Picardi E (eds) RNA Bioinformatics: Methods in Molecular Biology, vol. 1269, pp. 207-229. Humana Press, New York, NY (2014) | DOI: 10.1007/978-1-4939-2291-8_13

A simulation study on the effects of dendritic morphology on layer V prefrontal pyramidal cell firing behavior
Psarrou M, Stefanou SS, Papoutsi A, Tzilivaki A, Cutsuridis V, Poirazi P
Frontiers in Cellular Neuroscience, Sep 2014 | DOI: 10.3389/fncel.2014.00287

A compressed sensing perspective of hippocampal function
Petrantonakis PC, Poirazi P
Frontiers in Systems Neuroscience, Aug 2014 | DOI: 10.3389/fnsys.2014.00141

Dendritic nonlinearities reduce network size requirements and mediate ON and OFF states of persistent activity in a PFC microcircuit model
Papoutsi A, Sidiropoulou K, Poirazi P
PLoS Computational Biology, Jul 2014 | DOI: 10.1371/journal.pcbi.1003764

Dendrites 2014
4th NAMASEN Training Workshop, Heraklion, Crete, July 1-4, 2014
Book of Abstracts

GluA2 mRNA distribution and regulation by miR-124 in hippocampal neurons
Ho VM, Dallalzadeh LO, Karathanasis N, Keles MF, Vangala S, Grogan T, Poirazi P, Martin KC
Molecular and Cellular Neuroscience, Jul 2014 | DOI: 10.1016/j.mcn.2014.04.006.

Don’t use a cannon to kill the … miRNA mosquito
Karathanasis N, Tsamardinos I, Poirazi P
Bioinformatics, Mar 2014 | DOI: 10.1093/bioinformatics/btu100.

Coding and decoding with dendrites
Papoutsi A, Kastellakis G, Psarrou M, Anastasakis S, Poirazi P
Journal of Physiology-Paris, Feb 2014 | DOI: 10.1016/j.jphysparis.2013.05.003

Poirazi P
Dendritic Computation. In: Jaeger D, Jung R (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY (2014) | DOI: 10.1007/978-1-4614-7320-6_125-1

Modulatory effects of inhibition on persistent activity in a cortical microcircuit model
Konstantoudaki X, Papoutsi A, Chalkiadaki K, Poirazi P, Sidiropoulou K
Frontiers in Neural Circuits, Jan 2014 | DOI: 10.3389/fncir.2014.00007

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

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

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, Jun 2013 | DOI: 10.3389/fgene.2013.00110

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

SVM-Based miRNA:miRNA* Duplex Prediction
Karathanassis N, Armen A, Tsamardinos I, Poirazi P
IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), Larnaca Cyprus, 11-13 November, 2012 | DOI: 10.1109/BIBE.2012.6399670

A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2
Oulas A, Karathanasis N, Louloupi A, Iliopoulos I, Kalantidis K, Poirazi P
RNA Biology, Sep 2012 | DOI: 10.4161/rna.21725

Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons
Sidiropoulou K, Poirazi P
PLoS Computational Biology, Apr 2012 | DOI: 10.1371/journal.pcbi.1002489

Papoutsi A, Sidiropoulou K, Poirazi P
Memory beyond synaptic plasticity: The role of intrinsic neuronal excitability. In: Memory Mechanisms in Health and Disease: Mechanistic basis of memory, pp. 53-80. World Scientific Publishing Co (2012) | DOI: 10.1142/9789814366700_0003

Distinguishing linear vs. non-linear integration in CA1 radial oblique dendrites: it’s about time
Gómez González JF, Mel BW, Poirazi P
Frontiers in Computational Neuroscience, Nov 2011 | DOI: 10.3389/fncom.2011.00044

A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities
Tzamali E, Poirazi P, Tollis IG, Reczko M
BMC Systems Biology, Oct 2011 | DOI: 10.1186/1752-0509-5-167

Finding cancer-associated miRNAs: Methods and Tools
Oulas A, Karathanasis N, Louloupi A, Poirazi P
Molecular Biotechnology, May 2011 | DOI: 10.1007/s12033-011-9416-4

Poirazi P, Pissadaki E
The making of a detailed CA1 pyramidal neuron model. In: Cutsuridis V, Graham BP, Cobb S, Vida I (eds) Hippocampal Microcircuits. Springer Series in Computational Neuroscience, vol. 5, pp. 317-352. Springer, New York, NY (2010). doi: 10.1007/978-1-4419-0996-1_11

Encoding of spatio-temporal input characteristics by a CA1 pyramidal neuron model
Pissadaki EK, Sidiropoulou K, Reczko M, Poirazi P
PLoS Computational Biology, Dec 2010 | DOI: 10.1371/journal.pcbi.1001038

Oulas A, Poirazi P
Utilization of SSCprofiler to predict a new miRNA gene. In: Wu W (eds) MicroRNA and Cancer. Methods in Molecular Biology (Methods and Protocols), vol. 676, pp. 243-252. Humana Press, Totowa, NJ (2010) | DOI: 10.1007/978-1-60761-863-8_17

Oulas A, Karathanasis N, Poirazi P
Computational identification of miRNAs involved in cancer. In: Wu W (eds) MicroRNAs and Cancer. Methods in Molecular Biology (Methods and Protocols), vol. 676, pp. 23-41. Humana Press, Totowa, NJ (2010). DOI: 10.1007/978-1-60761-863-8_2

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

Neurofibromin regulates corticostriatal inhibitory networks during working memory performance
Shilyansky C, Karlsgodt KH, Cummings DM, Sidiropoulou K, Hardt M, James AS, Ehninger D, Bearden CE, Poirazi P, Jentsch JD, Cannon TD, Levine MS, Silva AJ
PNAS, Jul 2010 | DOI: 10.1073/pnas.1004829107

CREB regulates excitability and the allocation of memory to subsets of neurons in the amygdala
Zhou Y, Won J, Karlsson MG, Zhou M, Rogerson T, Balaji J, Neve R, Poirazi P, Silva AJ
Nature Neuroscience, Sep 2009 | DOI: 10.1038/nn.2405

Manioudaki M, Tzamali E, Reczko M, Poirazi P
Methods for structural inference and functional module identification in intracellular networks. In: Krawetz S (eds) Bioinformatics for Systems Biology, pp. 517-539. Humana Press  (2009) | DOI: 10.1007/978-1-59745-440-7_27

Tzamali E, Poirazi P, Reczko M
Methods for Dynamical Inference in Intracellular Networks. In: Krawetz S (eds) Bioinformatics for Systems Biology. Humana Press (2009) | DOI: 10.1007/978-1-59745-440-7_28

Prediction of novel microRNA genes in cancer-associated genomic regions–a combined computational and experimental approach
Oulas A, Boutla A, Gkirtzou K, Reczko M, Kalantidis K, Poirazi P
Nucleic Acids Research, Mar 2009 | DOI: 10.1093/nar/gkp120

MicroRNAs and Cancer-the search begins!
Oulas A, Reczko M, Poirazi P
IEEE Transactions on Information Technology in Biomedicine, Jan 2009 | DOI: 10.1109/TITB.2008.2007086

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