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

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 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

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

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]

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

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

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

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

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

A Simulation Study on the Effects of Dendritic Morphology on Layer V Prefontal 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

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

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

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

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

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

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

Modulation of excitability in CA1 pyramidal neurons via the interplay of EC and CA3 inputs
Pissadaki EK, Poirazi P
Neurocomputing, Jun 2007 | DOI: 10.1016/j.neucom.2006.10.098

Inside the brain of a neuron
Sidiropoulou K, Pissadaki EK, Poirazi P
EMBO Reports, Aug 2006 | DOI: 10.1038/sj.embor.7400789

Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell
Poirazi P, Brannon T, Mel BW
Neuron, Mar 2003 | DOI: 10.1016/s0896-6273(03)00148-x

Pyramidal Neuron as 2-Layer Neural Network
Poirazi P, Brannon T, Mel BW
Neuron, 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, May 2000 | DOI: 10.1162/089976600300015556

Towards the Memory Capacity of Neurons with Active Dendrites
Poirazi P, Mel BW
Neurocomputing, Jun 1999 | DOI:10.1016/S0925-2312(99)00078-8