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

Tags: 2020 , Interneurons , Machine Learning , Neuroscience

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice
Geiller, T, Vancura, V, …, Chavlis, …, S, Tsakalides, P, …, Poirazi, P Rózsa, BJ Losonczy, A
Neuron, 05 Oct 2020 | DOI: 10.1016/j.neuron.2020.09.013

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

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

Tags: 2020 , Dendrites , Neuroscience , Perspective

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

Tags: 2020 , Dendrites , Dendritic Computations , Dendritic Plasticity , Dendritic Spikes , Neuroscience

Breakdown of spatial coding and interneuron synchronization in epileptic mice
Shuman T*, …, Chavlis S, … Pandi I, …, Poirazi P*, Silva AJ, Golshani P*
Nature Neuroscience, 06 Jan 2020 | DOI: 10.1038/s41593-019-0559-0

Tags: 2020 , CA1 , Circuit Model , Interneurons , Neuroscience , Spatial Navigation

Synaptic Clustering and Memory Formation
Kastellakis G. & Poirazi P.
Front. Mol. Neurosci., 2019 Dec 6 | https://doi.org/10.3389/fnmol.2019.00300

Tags: 2019 , Dendrites , Learning and Memory , Neuroscience , Plasticity , Review

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, 03 Jan 2020 | DOI: 10.1126/science.aax6239
[Podcast at Quanta Magazine]

Tags: 2020 , Biophysical Model , Dendritic Computations , Dendritic Spikes , Neural Computations , Neuroscience , Single Neuron Model

A deep learning framework for neuroscience
Richards B.A., Lillicrap T.P., … Poirazi P. … Kording K.P.
Nature Neuroscience, 2019 | DOI: http://dx.doi.org/10.1038/s41593-019-0520-2

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

Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning
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*.
Neuron. 2019 Jan 31 | DOI: https://doi.org/10.1016/j.neuron.2019.01.009

Tags: 2019 , Biophysical Model , CA1 , Circuit Model , Hippocampus , Learning and Memory , Neuroscience , Spatial Navigation

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

Tags: 2019 , Biophysical Model , Dendrites , Dendritic Computations , Neural Computations , Neuroscience , Sensory Perception , Single Neuron Model , Visual Cortex

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
Front Synaptic Neurosci., 2019 May 24 | DOI: https://doi.org/10.3389/fnsyn.2019.00016

Tags: 2019 , Labelling Techniques , Neuroscience , Review

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

Tags: 2019 , Biophysical Model , Ion Channels , Neuroscience , Single Neuron Model

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

Tags: 2018 , Circuit Model , Dendrites , Dendritic Computations , Dendritic Plasticity , Learning and Memory , Neuroscience

P. Bozelos and P. Poirazi.
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: https://doi.org/10.1016/B978-0-12-803784-3.00015-9

Tags: 2017 , Learning and Memory , Neuroscience , Plasticity

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

Tags: 2017 , Dendrites , Dendritic Computations , FPGA , Neuroscience

Pattern separation in the Hippocampus through the eyes of computational modeling 
Chavlis S., Poirazi P.
Synapse. 2017 Mar 18. doi: 10.1002/syn.21972. 

Tags: 2017 , Hippocampus , Modelling , Neuroscience , Review

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

Tags: 2017 , Dendritic Plasticity , Neuroscience , Plasticity , Review

In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice
Danielson, N. B., Turi, G. F., Ladow, M., Chavlis, S., Petrantonakis, P. C., Poirazi, P.*, & Losonczy, A.*
Neuron. 2017 Feb., DOI: http://dx.doi.org/10.1016/j.neuron.2016.12.019

Tags: 2017 , Circuit Model , DG , Hippocampus , Neuroscience

…with Love, from Post to Pre
Panayiota Poirazi, George Kastellakis
Neuron. 2017 September |  DOI: 10.1016/j.neuron.2017.09.02

Tags: 2017 , Learning and Memory , Neuroscience , Plasticity , Preview

S.S. Stefanou, G. Kastellakis, and P. Poirazi
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: https://doi.org/10.1007/978-1-4939-3411-9_15

Tags: 2016 , Biophysical Model , Modelling , Neuroscience

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

Tags: 2016 , Machine Learning , Neuroscience , Spike Sorting

REMOD: A Tool for Analyzing and Remodeling the Dendritic Architecture of Neural Cells
Bozelos, P., Stefanou, S.S., Bouloukakis, G., Melachrinos, C., Poirazi, P.
Front. Neuroanat., 06 January 2016 | doi: http://dx.doi.org/10.3389/fnana.2015.00156

Tags: 2016 , Bioinformatics , Neuroscience , Structure-Function

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

Tags: 2016 , Circuit Model , Dendrites , Dendritic Computations , Learning and Memory , Network Model , Neuroscience , Plasticity

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

Tags: 2016 , Circuit Model , Dendrites , Dendritic Computations , DG , Hippocampus , Network Model , Neuroscience

Opening Up: open access publishing, data sharing, and how they can influence your neuroscience career
Spires-Jones, T.L., Poirazi, P., Grubb, M.S.
European Journal of Neuroscience, 04 March 2016 | doi: http://dx.doi.org/10.1111/ejn.13234

Tags: 2016 , FKNE , Neuroscience , Perspective

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

Tags: 2016 , FKNE , Neuroscience , Perspective

The road to independence: how to get funding in neuroscience
Yaksi, E., Poirazi, P., Hanganu-Opatz, I.
Eur J Neurosci. 10 January 2016 | doi: https://doi: 10.1111/ejn.13169.

Tags: 2016 , FKNE , Neuroscience , Perspective

A Simple Method to Simultaneously Detect and Identify Spikes from Raw Extracellular Recordings
Petrantonakis, P.C., and Poirazi, P.
Front. Neurosci., 02 December 2015 | doi: https://doi.org/10.3389/fnins.2015.00452

Tags: 2015 , Bioinformatics , Neuroscience , Spike Sorting

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

Tags: 2014 , Neuroscience

A computational study on how theta modulated inhibition can account for the long temporal windows in the entorhinal-hippocampal loop
Cutsuridis, V., Poirazi, P.
Neurobiol Learn Mem. 2015 Apr;120:69-83. doi: 10.1016/j.nlm.2015.02.002

Tags: 2015 , Hippocampus , Interneurons , Network Model , Neuroscience

Dentate Gyrus Circuitry Features Improve Performance of Sparse Approximation Algorithms
Petrantonakis, P.C. and Poirazi, P.
PLoS One. 2015; 10(1): e0117023.  doi: 10.1371/journal.pone.0117023

Tags: 2015 , Hippocampus , Machine Learning , Neuroscience

Synaptic clustering within dendrites: An emerging theory of memory formation
Kastellakis, G., Cai, D.J., Mednick, S.C., Silva, A.J., Poirazi, P.
Prog Neurobiol. 2015 Mar;126:19-35. doi: 10.1016/j.pneurobio.2014.12.002.

Tags: 2015 , Learning and Memory , Neuroscience , Review

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

Tags: 2014 , Dendrites , Dendritic Computations , Neuroscience , Structure-Function

A compressed sensing perspective of hippocampal function
Petrantonakis, P.C. and Poirazi, P.
Front Syst Neurosci. 2014; 8: 141. doi: 10.3389/fnsys.2014.00141

Tags: 2014 , Hippocampus , Neuroscience , Perspective

GluA2 mRNA distribution and regulation by miR-124 in hippocampal neurons
Ho, V.M., Dallalzadeh, L.O., Karathanasis, N., Keles, M.F., Vangala, S., Grogan, T., Poirazi, P., Martin, K.C.
Mol Cell Neurosci. 2014 Jul;61:1-12. doi: 10.1016/j.mcn.2014.04.006.

Tags: 2014 , Bioinformatics , Hippocampus , Neuroscience

Induction and modulation of persistent activity in a layer V PFC microcircuit model.
Papoutsi, A., Sidiropoulou, K., Cutsuridis, V., Poirazi, P.
Front Neural Circuits. 2013 Oct 9;7:161. doi: 10.3389/fncir.2013.00161

Tags: 2013 , Circuit Model , Learning and Memory , Neuroscience , Prefrontal Cortex

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

Tags: 2014 , Dendrites , Dendritic Computations , Neuroscience , Review

The Hitchhiker’s Guide to a Neuroscience Career
Joëls, M., Hoogenraad, C.C., Poirazi, P., Di Luca, M.
Neuron. 2015 May 6;86(3):613-6. doi: 10.1016/j.neuron.2015.04.002.

Tags: 2015 , Neuroscience , Perspective

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

Tags: 2014 , Dendritic Computations , Neuroscience

Kastellakis G. and 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: https://doi.org/10.1007/978-1-4614-8094-5_25
[PDF]

Tags: 2013 , Dendritic Computations , Learning and Memory , Neuroscience

Towards predicting persistent activity of neurons by statistical and fractal dimension-based features
Petrantonakis, P.C., 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

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.
Front Comput Neurosci. 2013 Jan 25;7:1. doi: 10.3389/fncom.2013.00001

Tags: 2013 , Hippocampus , Neural Computations , Neuroscience , Plasticity

Papoutsi A., Sidiropoulou K. and 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: https://doi.org/10.1142/9789814366700_0003

Tags: 2012 , Learning and Memory , Neuroscience , Plasticity

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

Tags: 2011 , Biophysical Model , CA1 , Dendrites , Dendritic Computations , Hippocampus , Neural Computations , Neuroscience , Single Neuron Model

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

Tags: 2010 , Hippocampus , Modelling , Neural Computations , Neuroscience

Encoding of Spatio-temporal Input Characteristics by a CA1 Pyramidal Neuron Model
Pissadaki, E.K., Sidiropoulou, K., Reczko, M., Poirazi, P.
PLoS Comput Biol. 2010 Dec 16;6(12):e1001038. doi: 10.1371/journal.pcbi.1001038

Tags: 2010 , Biophysical Model , CA1 , Dendritic Computations , Neural Computations , Neuroscience , Single Neuron Model

Neurofibromin regulates corticostriatal inhibitory networks during working memory performance
Shilyansky, C., Karlsgodt, K.H., Cummings, D.M., Sidiropoulou, K., Hardt, M., James, A.S., Ehninger, D., Bearden, C.E., Poirazi, P., Jentsch, J.D., Cannon, T.D., Levine, M.S., Silva, A.J.
Proc Natl Acad Sci U S A. 2010 Jul 20;107(29):13141-6. doi: 10.1073/pnas.1004829107

Tags: 2010 , Circuit Model , Interneurons , Neuroscience , Prefrontal Cortex

CREB regulates excitability and the allocation of memory to subsets of neurons in the amygdala
Zhou, Y., Won, J., Karlsson, M.G., Zhou, M., Rogerson, T., Balaji, J., Neve, R., Poirazi, P., Silva, A.J.
Nat Neurosci. 2009 Nov;12(11):1438-43. doi: 10.1038/nn.2405

Tags: 2009 , Amygdala , Learning and Memory , Neuroscience , Plasticity

Differential effects of corticosterone on the slow afterhyperpolarization in the basolateral amygdala and CA1 region: possible role of calcium channel subunits
Liebmann, L., Karst, H., Sidiropoulou, K., van Gemert, N., Meijer, O.C., Poirazi, P., Joëls, M.
J Neurophysiol. 2008 Feb;99(2):958-68.  doi: https://doi.org/10.1152/jn.01137.2007

Tags: 2008 , Amygdala , Biophysical Model , CA1 , Hippocampus , Neural Computations , Neuroscience , Single Neuron Model

Modeling stress-induced adaptations in Ca2+ dynamics
Sidiropoulou, K., Joels M., and Poirazi, P.
Neurocomputing, Special Issue for CNS 2006, vol. 70, No 11-12, pg. 1640-1644, June 2007. doi: https://doi.org/10.1016/j.neucom.2006.10.068

Tags: 2007 , Hippocampus , Neuroscience , Single Neuron Model , Stress

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

 

Tags: 2006 , Dendrites , Dendritic Computations , Neural Computations , Neuroscience , Review

Arithmetic of Subthreshold Synaptic Summation in a Model CA1 Pyramidal Cell.
Poirazi, P., Brannon, T., Mel, B.W.
Neuron. 2003 Mar 27;37(6):977-87. DOI: 10.1016/s0896-6273(03)00148-x

 

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

Pyramidal Neuron as 2-Layer Neural Network.
Poirazi, P., Brannon, T., Mel, B.W.
Neuron. 2003 Mar 27;37(6):989-99. DOI: 10.1016/s0896-6273(03)00149-1

 

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

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

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

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

Tags: 1999 , Dendrites , Dendritic Computations , Dendritic Plasticity , Neural Computations , Neuroscience , Single Neuron Model