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

Illuminating dendritic function with computational models
Panayiota Poirazi* & Athanasia Papoutsi
Nature Reviews Neuroscience, 11 May 2020 | DOI: 10.1038/s41583-020-0301-7

Synaptic Clustering and Memory Formation
Kastellakis G. & Poirazi P.
Front. Mol. Neurosci., 2019 Dec 6 | https://doi.org/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, R. T., Marin, M. A., Poirazi, P*., Smirnakis, S. M.*
Nat. Commu., 26 November 2019. | DOI: https://doi.org/10.1038/s41467-019-13029-0

Challenging the point neuron dogma: FS basket cells as 2-stage nonlinear integrators
Tzilivaki A., Kastellakis G., Poirazi P.
Nat Commun, 2019 Aug 14 | DOI: https://doi.org/10.1038/s41467-019-11537-7

Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory
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.
Nat Commun. 2018 January. | DOI: 10.1038/s41467-017-02751-2

An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor
E. Kousanakis, A. Dollas, E. Sotiriadis, I. Papaeustathiou, D.N. Pnevmatikakos, A. Papoutsi, S. Chavlis, P.C. Petrantonakis, P. Poirazi
IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) – 2017, Napa, CA, USA. DOI: 10.1109/FCCM.2017.51

Linking Memories across Time via Neuronal and Dendritic Overlaps in Model Neurons with Active Dendrites
Kastellakis, G., Silva, A.J., Poirazi, P.
Cell Reports. 2016 Nov | http://dx.doi.org/10.1016/j.celrep.2016.10.015

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

A Simulation Study on the Effects of Dendritic Morphology on Layer V Prefontal Pyramidal Cell Firing Behavior
Psarrou, M., Stefanou, S.S., Papoutsi, A., Tzilivaki, A., Cutsuridis, V., Poirazi, P.
Front Cell Neurosci. 2014 Sep 16;8:287. doi: 10.3389/fncel.2014.00287

Coding and Decoding with Dendrites
Papoutsi, A., Kastellakis, G., Psarrou, M., Anastasakis, S., Poirazi, P.
J. Physiol Paris. 2014 Feb;108(1):18-27. doi: 10.1016/j.jphysparis.2013.05.003

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

Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It’s about Time
Gómez González, J.F., Mel, B.W., Poirazi, P.
Front Comput Neurosci. 2011 Nov 14;5:44. doi: 10.3389/fncom.2011.00044

Inside the brain of a neuron
Sidiropoulou, K., Pissadaki, E.K., Poirazi, P.
EMBO Reports, 2006 Sep;7(9):886-92. DOI: 10.1038/sj.embor.7400789

Classification Capacity of a Modular Neural Network Implementing Neurally Inspired Architecture and Training
Poirazi, P., Neocleous, C., Pattichis, C.S., Schizas, C.N.
IEEE Trans Neural Netw. 2004 May;15(3):597-612. DOI: 10.1109/TNN.2004.826225

Impact of Active Dendritic Processing and Structural Plasticity on Learning and Memory
Poirazi, P., Mel, B.W.
Neuron. 2001 Mar;29(3):779-96. 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, B.W.
Neural Comput. 2000 May;12(5):1189-205. DOI: 10.1162/089976600300015556

Towards the Memory Capacity of Neurons with Active Dendrites.
Poirazi, P. and Mel, B.W.
Neurocomputing, vol. 26-27, pg. 237-245, 1999. doi: https://doi.org/10.1016/S0925-2312(99)00078-8