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Panayiota Poirazi

Panayiota Poirazi

Research Director
Email address
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Lab web page

Work in my lab focuses on understanding how dendrites contribute to complex brain functions such as learning and memory. Dendrites, the thin processes that extend from the cell bodies of neurons, are equipped with non-linear conductances, providing neurons with enhanced processing, learning and storage capabilities. We develop and use computational models that simulate dendritic computations and their effects on cellular and network function across multiple brain areas. In close collaboration with experimental labs, we also use in vivo behavioral and imaging techniques to probe the role of dendrites in behaving mice. Finally, we build brain-inspired algorithms that incorporate dendritic properties, aiming to advance machine learning tools.


Poirazi P, Papoutsi A. (2020) Illuminating dendritic function with computational models. Nat Rev Neurosci. 21:303-321.

Gidon A, Zolnik TA, Fidzinski P, Bolduan F, Papoutsi A, Poirazi P, Holtkamp M, Vida I, Larkum ME. (2020) Dendritic action potentials and computation in human layer 2/3 cortical neurons. Science. 367:83-87.

Park J, Papoutsi A, Ash RT, Marin MA, Poirazi P, Smirnakis SM. (2019) Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons. Nat Commun. 10:5372.

Tzilivaki A, Kastellakis G, Poirazi P. (2019) Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators. Nat Commun. 10:3664.

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. (2019) Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning. Neuron. 101:1150-1165.

Journal Publications


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 A. "Co-allocation to overlapping dendritic branches in the retrosplenial cortex integrates contextual memories across time". bioRχiv. Nov 2021 | DOI:

Chowdhury A, Luchetti A, Fernandes G, Filho D A, Kastellakis G, Tzilivaki A, Ramirez E, Tran M, Poirazi P, Silva A. "A Locus Coeruleus- dorsal CA1 dopaminergic circuit modulates memory linking". bioRχiv. Oct 2021 | DOI: 10.1101/2021.10.27.466138

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

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

Chavlis S, Poirazi P. "Drawing inspiration from biological dendrites to empower artificial neural networks". Curr Opin Neurobiol. Oct 2021 | DOI: 10.1016/j.conb.2021.04.007 | Zenodo (Open-Access)

Achakulvisut T, Ruangrong T, Mineault P, Vogels TP, Peters MAK, Poirazi P, Rozell C, Wyble B, Goodman DFM, Kording KP. "Towards Democratizing and Automating Online Conferences: Lessons from the Neuromatch Conferences". Trends Cogn Sci. 16 Feb 2021 | DOI: 10.1016/j.tics.2021.01.007



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

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

Bassett DS, Cullen KE, …,Poirazi P, …, Sur M,  Ueda HR. "Reflections on the past two decades of neuroscience". Nat Rev Neurosci. 02 Sep 2020 | DOI:  10.1038/s41583-020-0363-6

Poirazi P, Papoutsi A. "Illuminating dendritic function with computational models".
Nat Rev Neurosci. 11 May 2020 | DOI: 10.1038/s41583-020-0301-7

Shuman T, Aharoni D, Cai, DJ, …, Chavlis S, …, Pandi I, …, Poirazi P, Silva AJ, Golshani P. "Breakdown of spatial coding and interneuron synchronization in epileptic mice". Nat Neurosci. 06 Jan 2020 | DOI: 10.1038/s41593-019-0559-0

Gidon A, Zolnik TA, Fidzinski P, Bolduan F, Papoutsi A, Poirazi P, Holtkamp M, Vida I, Larkum ME. "Dendritic action potentials and computation in human layer 2/3 cortical neurons". Science. 03 Jan 2020 | DOI: 10.1126/science.aax6239 [Podcast at Quanta Magazine]



Kastellakis G, Poirazi P. "Synaptic Clustering and Memory Formation". Front Mol Neurosci. 6 Dec 2019 | 10.3389/fnmol.2019.00300

Park J, Papoutsi A, Ash RT, Marin MA, Poirazi P, Smirnakis SM. "Contribution of apical and basal dendrites to orientation encoding in mouse V1 L2/3 pyramidal neurons". Nat Commun. 26 November 2019 | DOI: 10.1038/s41467-019-13029-0

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

Tzilivaki A., Kastellakis G., Poirazi P. "Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators". Nat Commun. 2019 Aug 14 | DOI:
[Abstract] [PDF]

Ebner C, Ledderose J, Zolnik TA, Dominiak SE, Turko P, Papoutsi A, Poirazi P, Eickholt BJ, Vida I, Larkum ME, Sachdev RNS. "Optically Induced Calcium-Dependent Gene Activation and Labeling of Active Neurons Using CaMPARI and Cal-Light". Front Synaptic Neurosci. 2019 May 24 | DOI:
[Abstract] [PDF]

Park, J., Papoutsi, A., Ash, R. T., Marin, M. A., Poirazi, P., & Smirnakis, S. M. "Contribution of Apical and Basal Dendrites of L2/3 Pyramidal Neurons to Orientation Encoding in Mouse V1". bioRxiv. 2019. | DOI:
[Abstract] [PDF]

Turi G.F., Li W.K., Chavlis S., Pandi I., O’Hare J., Priestley J.B., Grosmark A.D., Liao Z., Ladow M., Zhang J.F., Zemelman B.V., Poirazi P., Losonczy A. "Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning". Neuron. 2019 Jan 31 | DOI:
[Abstract] [PDF]

Ouares K.A., Filipis L., Tzilivaki A., Poirazi P., Canepari M. "Two distinct sets of Ca2+ and K+ channels are activated at different membrane potentials by the climbing fibre synaptic potential in Purkinje neuron dendrites". J Neurosci. 2019 Jan 10 | doi: 10.1523/JNEUROSCI.2155-18.2018. [Epub ahead of print]
[Abstract] [PDF]

Tzilivaki A., Kastellakis G., Poirazi P. "Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators". bioRxiv. 2019 | doi: 10.1101/251314
[Abstract] [PDF]


Shuman T., Aharoni D., Cai D.J., Lee C.R., Chavlis S., Taxidis J., Flores S.E., Cheng K., Javaherian M., Kaba C.C. and Shtrahman, M. "Breakdown of spatial coding and neural synchronization in epilepsy". bioRxiv. 2018 | DOI: 10.1101/358580
[Abstract] [PDF]

Frank A.C., Huang S., Zhou M., Gdalyahu A., Kastellakis G., Silva T.K., Lu E., Wen X., Poirazi P., Trachtenberg J.T., Silva A.J. "Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory". Nat Commun. 2018 January. | DOI: 10.1038/s41467-017-02751-2
[Abstract] [PDF]



Panayiota Poirazi, George Kastellakis. "…with Love, from Post to Pre". Neuron. 2017 September | DOI: 10.1016/j.neuron.2017.09.022
[Abstract] [PDF]

Bartlett W Mel, Jackie Schiller and Panayiota Poirazi. "Synaptic plasticity in dendrites: complications and coping strategies". Current Opinion in Neurobiology. 2017 May | DOI: 10.1016/j.conb.2017.03.012

Chavlis S., Poirazi P. "Pattern separation in the Hippocampus through the eyes of computational modeling". Synapse. 2017 Mar 18. | doi: 10.1002/syn.21972. [Epub ahead of print] Review.
[Abstract] [PDF]

Poirazi, P. "The perfect grant and how to get it". Nature. 2017 March | DOI: 10.1038/543151a
[Abstract] [PDF]

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

Danielson, N. B., Turi, G. F., Ladow, M., Chavlis, S., Petrantonakis, P. C., Poirazi, P., & Losonczy, A. "In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice". Neuron. 2017 Feb. | DOI:
[Abstract] [PDF]



Chavlis, S., Petrantonakis, C.P., Poirazi, P. "Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity". Hippocampus. 2016 Oct, DOI:
[Abstract] [PDF]

Kastellakis, G., Silva, A.J., Poirazi, P. "Linking Memories across Time via Neuronal and Dendritic Overlaps in Model Neurons with Active Dendrites". Cell Reports. 2016 Nov |

Poirazi, P., Belin, D., Gräff, J., Hanganu‐Opatz, I., and López‐Bendito, G. “Balancing family with a successful career in neuroscience”. European Journal of Neuroscience. 2016. |
[Abstract] [PDF]

Spires-Jones, T.L., Poirazi, P., Grubb, M.S., “Opening Up: open access publishing, data sharing, and how they can influence your neuroscience career”, European Journal of Neuroscience. 04 March 2016 |
[Abstract] [PDF]
Yaksi, E., Poirazi, P., Hanganu-Opatz, I., “The road to independence: how to get funding in neuroscience”, Eur J Neurosci. 10 January 2016 | http://doi: 10.1111/ejn.13169.

Bozelos, P., Stefanou, S.S., Bouloukakis, G., Melachrinos, C., Poirazi, P., “REMOD: A Tool for Analyzing and Remodeling the Dendritic Architecture of Neural Cells:, Front. Neuroanat. 06 January 2016 |


Karathanasis N, Tsamardinos I, Poirazi P, “MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation Methodology”. PLoS ONE.
[Abstract] [PDF]

Cutsuridis V, Poirazi P, “A computational study on how theta modulated inhibition can account for the long temporal windows in the entorhinal-hippocampal loop”, Neurobiol Learn Mem.

P.C. Petrantonakis, P.Poirazi, ”Dentate Gyrus Circuitry Features Improve Performance of Sparse Approximation Algorithms”, PLoS ONE
[Abstract] [PDF]
Kastellakis G., Cai D. J., Mednick S. C., Silva A. J., Poirazi P., “Synaptic clustering within dendrites: An emerging theory of memory formation.” Progress in Neurobiology.
[Abstract] [PDF] [Download]



Psarou M., Stefanou – Stamatiadis S., Papoutsi A., Tzilivaki A, Cutsuridis V, Poirazi P. “A Simulation Study on the Effects of Dendritic Morphology on Layer V Prefontal Pyramidal Cell Firing Behavior .” Frontiers in Cellular Neuroscience.
[Abstract] [PDF]
Petrantonakis P.C., Poirazi P.  “A compressed sensing perspective of hippocampal function.” Frontiers in  Systems Neuroscience. doi: 10.3389/fnsys.2014.00141, 2014.
[Abstract] [PDF]
Papoutsi A, Sidiropoulou K, Poirazi P.  “Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent Activity in a PFC Microcircuit Model.” PLoS Comput Biol.. doi: 10.1371/journal.pcbi.1003764, 2014.
[Abstract] [PDF]
Ho VM, Dallalzadeh LO, Karathanasis N, Keles MF, Vangala S, Grogan T, Poirazi P, Martin KC.  “GluA2 mRNA distribution and regulation by miR-124 in hippocampal neurons.” Mol Cell Neurosci., pii: S1044-7431(14)00043-8. doi: 10.1016/j.mcn.2014.04.006, 2014.

[Abstract] [PDF]

Karathanasis, N., Tsamardinos, I., & Poirazi, P. (2014). Don’t use a cannon to kill the … miRNA mosquito.
Bioinformatics (Oxford, England), (x), 1–2. doi:10.1093/bioinformatics/btu100
[Abstract] [PDF]
Xanthippi Konstantoudaki, Athanasia Papoutsi, Kleanthi Chalkiadaki, Panayiota Poirazi and Kyriaki Sidiropoulou
Modulatory effects of inhibition on persistent activity in a cortical microcircuit model
Frontiers in  Neural Circuits doi: 10.3389/fncir.2014.00007
[Abstract] [PDF]



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

Manioudaki ME and Poirazi P
Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response.
Front. Genet. 4:110. doi: 10.3389/fgene.2013.00110
[Abstract] [PDF]

A. Papoutsi, G. Kastellakis, M. Psarrou, S. Anastasakis, P. Poirazi.
Coding and Decoding with Dendrites
Journal of Physiology-Paris doi:10.1016/j.jphysparis.2013.05.003.
[Abstract]  [PDF]

Romani, A., Marchetti, C., Bianchi, D., Leinekugel, X., Poirazi, P., Migliore, M., Marie, H.
Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses.
Frontiers in Computational Neuroscience, January 2013; doi: 10.3389/fncom.2013.00001
[Abstract] [PDF]



Anastasis Oulas, Nestoras Karathanasis, Annita Louloupi, Ioannis Iliopoulos, Kriton Kalantidis and Panayiota Poirazi
A new microRNA target prediction tool identifies a novel interaction of a putative miRNA with CCND2
RNA Biology, September 2012; 9 (9), 1196-1207.

[Abstract] [PDF]

Kyriaki Sidiropoulou, Panayiota Poirazi
Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons
PLoS Comput Biol. 2012 April; 8(4): e1002489. doi: 10.1371/journal.pcbi.1002489

[Abstract] [PDF]



Gómez González JF, Mel BW, Poirazi P.
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It’s about Time.
Frontiers in Computational Neuroscience. 2011 November 14 ;5:44.
[Abstract] [PDF]

Tzamali E, Poirazi P, Tollis IG, Reczko M.
A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.
BMC Syst Biol. 2011 Oct 18;5:167.
[Abstract] [PDF]

Oulas, A, Karathanassis N., Luloupi, A. and Poirazi, P.
Finding cancer-associated miRNAs: methods and tools
Molecular Biotechnology, DOI: 10.1007/s12033-011-9416-4, June 2011.
[Abstract] [PDF]



Pissadaki E.K., Sidiropoulou K., Reczko M., and Poirazi P.
Encoding of Spatio-temporal Input Characteristics by a CA1 Pyramidal Neuron Model.
PLoS Computational Biology 2010 Dec;6(12): e1001038.
[Abstract] [PDF]

Gkirtzou K, Tsamardinos I, Tsakalides P, Poirazi P.
MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors.
PLoS One 2010 Aug;5(8). pii: e11843
[Abstract] [PDF]

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.
Neurofibromin regulates corticostriatal inhibitory networks during working memory performance.
Proc Natl Acad Sci U S A. 2010 Jul;107(29):13141-6.
[Abstract] [PDF]



Zhou Y, Won J, Karlsson MG, Zhou M, Rogerson T, Balaji J, Neve R, Poirazi P, Silva AJ.
CREB regulates excitability and the allocation of memory to subsets of neurons in the amygdala.
Nature Neuroscience 2009 Nov;12(11):1438-43.
[Abstract] [PDF]

Oulas A, Boutla A, Gkirtzou K, Reczko M, Kalantidis K and Poirazi P
Prediction of novel microRNA genes in cancer-associated genomic regions–a combined computational and experimental approach.
Nucleic Acids Research 2009 Jun;37(10):3276-87.
[Abstract] [PDF]

Oulas A, Reczko M and Poirazi P.
MicroRNAs and Cancer-the search begins!
IEEE Trans Inf Technol Biomed. vol. 13, No 1, pg. 67-77, Jan 2009.
[Abstract] [PDF]



Petalidis LP, Oulas A, Backlund M, Wayland MT, Liu L, Plant K, Happerfield L, Freeman TC, Poirazi P, Collins VP.
Improved grading and survival prediction of human astrocytic brain tumors by artificial
neural network analysis of gene expression microarray data.
Molecular Cancer Therapeutics (on the cover) vol. 7, No 5, pg. 1013-1024, May 2008.
[Abstract] [PDF]

Liebmann L, Karst H, Sidiropoulou K, van Gemert N, Meijer OC, Poirazi P, Joels M.
Differential effects of corticosterone on the slow afterhyperpolarization in the
basolateral amygdala and CA1 region: possible role of calcium channel subunits.
Journal of Neurophysiology vol. 99, No 2, pg. 958-968, Feb. 2008.
[Abstract] [PDF]



Poirazi, P., Leroy, F., Georgalaki, M.D., Aktypis, A., De Vuyst, L., and Tsakalidou, E.
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.
Applied Environmental Microbiology vol. 73, No 3, pg. 768-776, Feb. 2007.
[Abstract] [PDF]

Pissadaki, E.K. and Poirazi P.
Modulation of excitability in CA1 pyramidal neurons via the interplay of EC and CA3 inputs.
Neurocomputing, Special Issue for CNS 2006, vol. 70, No 11-12, pg. 1735-1740, June 2007.
[Abstract] [PDF]

Sidiropoulou K., Joels M., and Poirazi P.
Modeling stress-induced adaptations in Ca++ dynamics.
Neurocomputing, Special Issue for CNS 2006, vol. 70, No 11-12, pg. 1640-1644, June 2007.
[Abstract] [PDF]



Pavlidis P. and Poirazi P.
Individualized markers optimize class prediction of microarray data.
BMC Bioinformatics, vol. 7, pg. 345-359, July 2006.
[Abstract] [PDF]

Sidiropoulou K., Pissadaki E.K., and Poirazi P.
Inside the brain of a neuron.
EMBO Reports, vol. 7, pg. 886-892, September 2006.
[Abstract] [PDF]



Markaki M., Orphanoudakis S. and Poirazi P.
Modelling reduced excitability in aged CA1 neurons as a calcium-dependent process.
Neurocomputing, vol. 65-66, pg. 305-314, June 2005.
[Abstract] [PDF]



Poirazi, P. Neocleous, C., Pattichis, C. and Schizas, C.
Classification Capacity of a Modular Neural Network Implementing Neurally Inspired Architecture and Training.
IEEE Transactions in Neural Networks, vol 15, No. 3, pg. 597-612, May 2004.
[Abstract] [PDF]



Poirazi, P. Brannon, T. and Mel, B.W.
Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell.
Neuron, vol 37, pg. 977-987, March 2003.
[Abstract] [PDF]

Poirazi, P. Brannon, T. and Mel, B.W.
Pyramidal Neuron as 2-Layer Neural Network.
Neuron, vol 37, pg. 989-999, March 2003.
[Abstract] [PDF]

Poirazi, P. Brannon, T. and Mel, B.W.
About the Model (online supplement)
Neuron, vol 37, pg. 988, March 2003.



Poirazi, P. and Mel, B.W.
Impact of Active Dendritic Processing and Structural Plasticity on Learning and Memory.
Neuron, vol 29, pg. 779-796, March 2001.
[Abstract] [PDF]

Poirazi, P. and Mel, B.W.
Choice and value flexibility jointly contribute to the capacity of a subsampled quadratic classifier.
Neural Computation, vol. 12, num. 5, pg. 1189-1207, 2000.
[Abstract] [PDF]

Poirazi, P. and Mel, B.W.
Towards the Memory Capacity of Neurons with Active Dendrites.
Neurocomputing, vol. 26-27, pg. 237-245, 1999.
[Abstract] [PDF]