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Georgios Detorakis

2328 Social & Behavioral Sciences Gateway · Irvine, CA 92697-5100 · gdetorak__at__uci.edu

I'm currently a post-doc at the Neuromorphic Machine Intelligence Lab (NMI) lab, working with prof. Emre Neftci on Neuromorphic Computing, Machine Learning and Computational Neuroscience.


University of Lorraine

Doctor of Philosophy
PhD in Computational Neuroscience
  • Dissertation Topic: Cortical Plasticity, Dynamic Neural Fields and Self-Organization
  • Adviser: Dr. Nicolas Rougier
October 2010 - October 2013

University of Crete

Master of Science
Brain and Mind Sciences at the "Brain & Mind" Interdisciplinary Graduate Program of the Faculty of Medicine
January 2007 - April 2009  

University of Crete

Bachelor of Science
Applied Mathematics - Mathematical Methods and Software Development Track
September 2002 - September 2006

Research Interests


Currently, he is a member of Neuromorphic Intelligence lab (NMI) as a post-doctoral researcher working with professor Emre Neftci. He is involved in the development of a neuromorphic device capable of embedded and on-line learning. He is one of the core developers of the software simulator for the under-development device. He investigates how natural mechanisms of biological brains can lead to more efficient and biological plausible machine learning algorithms suitable for neuromorphic chips. Furthermore, he is interested in implementing high-performance neural (rate) simulations. And last but not least, he continues collaborating with professor Antoine Chaillet on control theory applications in neuroscience.


He has worked on Parkinson's disease (PD) with Antoine Chaillet at Supélec (École supérieure d'électricité) in Gif-sur-Yvette, France as post-doctorate researcher. The topic of the post-doc was: Modeling and identification of neuronal firing rates of Basal Ganglia using optogenetics and it was a part of the French ANR project SynchNeuro. He developed a model of neural fields of the basal ganglia in order to better understand the genesis of PD pathological oscillations and ultimately to propose a suitable closed-loop deep brain stimulation mechanism, which will be able to eliminate pathological oscillations. During that post-doc he collaborated with Stefan Palfi and Suhan Senova of H. Mondor de Créteil hospital and Christophe Pouzat of University Paris Descartes (MAP5).

A second field of research in which he was involved is that of cortical plasticity and self-organization. He used as mathematical framework the theory neural fields. One of the perspectives of his research was to understand how the brain cortex can self-organize itself and how it can recover from a serious injury, like a stroke, due to cortical reorganization. The better understanding of the underlying mechanisms, both computational and neurophysiological, have been also taken into consideration.

He was involved in projects concerning rhythmical motor control and human tremor. The aim of those projects were the processing and the analysis of neurophysiological signals like EEG and EMG, as well as the interpretation of those signals in so as to determine the role of the human tremor and figure out where its source lies within the brain or the spinal cord. Other projects that he was involved in related to Central Pattern Generators (CPGs). The purpose of those projects were the mathematical/computational modelization of locomotion patterns and the developing of algorithms with applications to humanoid robots.

Recording Techniques

  • Electroencephalogram (EEG) [?],
  • Electromyogram (EMG) [?],
  • And minor experience in operating Plexon recording console. Development of custom software related to recording devices.

Complete CV

[English version]

Minor Conferences

  • Embedded learning on neuromorphic systems: Towards a unified computing framework
    G. Detorakis, C. Augustine, S. Paul, E. Neftci
    24th Joint Symposium on Neural Computation, San Diego(CA, USA), 2017.
  • On the relation between neuronal size and extracellular spike amplitude and its consequence on extracellular recordings interpretation
    C. Pouzat and G. Is. Detorakis
    MathStatNeuro Workshop, Nice(France), 2015.
  • SPySort
    C. Pouzat and G. Is. Detorakis
    GDR Multielectrode systems and signal processing for Neuroscience, Gif-sur-Yvette(France), 2014.
  • Skin Topographic Maps in SI
    G.Is. Detorakis and N.P. Rougier
    Progress in Neural Field Theory, Reading, United Kingdom, 2012.
  • Skin Topographic Maps in SI
    G.Is. Detorakis and N.P. Rougier
    Workshop on Cognitive and Dynamics in Neural Systems: Mathematical and Computational Modeling (CONAS), Lyon, France, 2012.

International Conferences

  • A neural network model of predictive smooth pursuit eye movement in primates
    H.J. Kashyap, G. Detorakis, N. Dutt, J.L. Krichmar, E. Neftci
    to appear in SfN, San Diego (CA, USA)
  • Random Contrastive Hebbian Learning as a Biologically Plausible Learning Scheme
    G. Detorakis, T. Bartley, and E. Neftci
    OCNS, Seattle (WA, USA), 2018
  • Three-factor embedded learning on neuromorphic systems
    G. Detorakis, T. Bartley, R. Parise, S. Sheik, C. Augustine, S. Paul, B. U. Pedroni, N. Dutt, J.Krichmar, G. Cauwenberghs, and E. Neftci
    COSYNE, Denver (CO, USA), 2018
  • Embedded Learning on Neuromorphic Systems: Towards a Unified Computing Framework
    G. Detorakis, T. Bartley, R. Parise, S. Sheik, C. Augustine, S. Paul, B. Pedroni, N. Dutt, J. Krichmar, G. Cauwenberghs and E. Neftci
    NICE, Portland (OR, USA), 2018
  • Embedded learning on neuromorphic systems: Towards a unified computing framework
    G. Detorakis, T. Bartley, R. Parise, C. Augustine, S. Paul, E. Neftci
    IEED ICCAD HALO Workshop, Irvine (CA, USA), 2017.
  • NeuroLachesis: A Neuromorphic Framework
    G. Detorakis, D. Barsever, E. Neftci
    Scipy 2017, Austin (TX, USA).
  • Robust stabilization of delayed neural fields by proportional feedback using input-to-state stability and small gain theorem
    A. Chaillet, G. Is. Detorakis, S. Palfi, S. Senova
    ICMNS 2016, Juan-les-Pins, France.
  • Closed-loop disruption of oscillations in a targeted frequency band for a delayed neural field STN-GPe model
    G.Is. Detorakis and A. Chaillet
    FENS Featured Regional Meeting 2015, Thessaloniki, Greece.
  • Incremental stability of delayed neural fields: a unifying framework for endogenous and exogenous sources of pathological oscillations
    G.Is. Detorakis and A. Chaillet
    CNS, Prague, Czech Republic, 2015.
  • Closed-loop regulation of the activity of delayed neural fields with only partial measurement and stimulation
    G.Is. Detorakis and A. Chaillet
    ICMNS, Antibes - Juan les Pins, France, 2015.
  • A global stability analysis for delayed neural fields
    G.Is. Detorakis, A. Chaillet and I. Haidar
    BCCN 2014, Göttingen, Germany.
  • A computational view of the primary somatosensory cortex
    G.Is. Detorakis and N.P. Rougier
    CNS Annual Meeting, Paris, France, 2013.
  • Neural Fields and Cortical Plasticity
    G.Is. Detorakis and N.P. Rougier
    BCCN, Freiburg, Germany, 2011.

International Conferences (peer-reviewed)

  • A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates
    H. Kashyap, G. Detorakis, N. Dutt, J. Krichmar,and E. Neftci
    IJCNN 2018, Rio de Janeiro, Brazil.
  • Incremental Stability of Spatiotemporal Delayed Dynamics and Application to Neural Fields
    G. Detorakis and A. Chaillet
    to appear in IEEE CDC 2017, Melbourne, Australia.
  • Event-Driven Random Backpropagation: Enabling Neuromorphic Deep Learning Machines
    E. Neftci, C. Augustine, S. Paul, G. Detorakis,
    IEEE ISCAS 2017, Baltimore, MD, USA.
  • Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
    B. U. Pedroni, S. Sheik, S. Joshi, G. Detorakis, S. Paul, C. Augustine, E. Neftci, G. Cauwenberghs,
    IEEE BioCAS 2016, Shanghai, China.
  • SPySort
    C. Pouzat and G.Is. Detorakis,
    Euroscipy 2014, Cambridge, United Kingdom.
  • Self-Organizing Dynamic Neural Fields
    N. P. Rougier and G. Is. Detorakis
    3rd International Conference on Cognitive Neurodynamics, Hokkaido, Japan, 2011.

Research Articles (peer-reviewed)

  • Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
    G. Detorakis, S. Sheik, C. Augustine, S. Paul, B.U. Pedroni, N. Dutt, J. Krichmar, G. Cauwenberghs, E. Neftci
    Frontiers in Neuroscience, 2018
  • Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
    E. Neftci, S. Paul, C. Augustine, G. Detorakis
    Frontiers in Neuroscience 11, 2017, doi:10.3389/fnins.2017.00324
  • Robust stabilization of delayed neural fields with partial measurement and actuation
    A. Chaillet, G. Is. Detorakis, S. Palfi and S. Senova
    Automatica 83, 2017, doi:10.1016/j.automatica.2017.05.011
  • Closed-loop stimulation of a delayed neural fields model of parkinsonian STN-GPe network: a theoretical and computational study
    G. Is. Detorakis, A. Chaillet, S. Palfi and S. Senova
    Frontiers in Neuroscience 9(237), 2015, doi: 10.3389/fnins.2015.00237.
  • Structure of Receptive Fields in a Computational Model of Area 3b of Primary Sensory Cortex
    G. Is. Detorakis and N. P. Rougier
    Frontiers in Computational Neuroscience, 8, 2014, doi: 10.3389/fncom.2014.00076.
  • A Neural Field Model of the Somatosensory Cortex: Formation, Maintenance, and Reorganization of Ordered Topographic Maps
    G. Is. Detorakis and N.P. Rougier
    PLoS ONE 7(7):e40257, doi:10.1371/journal.pone.0040257.

Reproducible Science Articles (peer-reviewed)

  • Sustainable computational science: the ReScience initiative
    N.P. Rougier, K. Hinsen, F. Alexandre, T. Arildsen, L. Barba, F.C. Y. Benureau, C. Titus Brown, Pierre de Buyl,
    O. Caglayan, A.P. Davison, M.A. Delsuc, G. Detorakis, A.K. Diem, D. Drix, P. Enel, B. Girard, O. Guest, M.G. Hall,
    R.N. Henriques, X. Hinaut, K.S. Jaron, M. Khamassi, A. Klein, T. Manninen, P. Marchesi, D. McGlinn, C. Metzner,
    O.L. Petchey, H.E. Plesser, T. Poisot, K. Ram, Y. Ram, E. Roesch, C. Rossant, V. Rostami, A. Shifman, J. Stachelek,
    M. Stimberg, F. Stollmeier, F. Vaggi, G. Viejo, J. Vitay, A. Vostinar, R. Yurchak, T. Zito
    Submitted to PeerJ
  • [Re] A Generalized Linear Integrate-And-Fire Neural Model Produces Diverse Spiking Behaviors
    G. Is. Detorakis
    The ReScience Journal, 2017, DOI 10.5281/zenodo.1003214.
  • [Re] Multiple dynamical modes of thalamic relay neurons: rhythmic bursting and intermittent phase-locking
    G. Is. Detorakis
    The ReScience Journal, 2:1, 2016, DOI:10.5281/zenodo.61697.

Book Chapters

  • ISS-stabilization of delayed neural fields by small-gain arguments
    A. Chaillet, G. Is. Detorakis, S. Palfi, and S. Senova
    To be published in Advances on Delays and Dynamics at Springer

Neuroscience / Machine Learning

Software Title Description
cRBM cRMB, is a C implementation of a restricted Bolzmann machine (RBM) supporting non-negative matrix factorization (NMF) as well.
pyAIS pyAIS, is a Python script that implements as a class the Annealed Importance Sampling algorithm for Boltzmann machines based on the work of Ruslan Salakhutdinov, (original Matlab code can be found here: http://www.utstat.toronto.edu/~rsalakhu/rbm_ais.html).
CorrSpikeTrains CorrSpikeTrains, is a Python class implementing the Cox processes and Mixture methods for correlated spike trains generation. It is based on the paper: Romain Brette, "Generation of Correlated Spike Trains", Neural Computation 21, 188-215, 2009.
SPySort SPySort, is a spike sorting software developed by Christophe Pouzat and Geogios Is. Detorakis. The repository contains a Python package providing all the classes for performing a spike sorting.
NeuralFieldDBSModel This is a collection of Python scripts that implemt a computational model of Basal Gaglia. The purpose of the underlying model is to describe the attenuation of pathological oscillations during Parkinson's disease due to optogenetics Deeb Brain Stimulation.
DelayedNFStability This is a collection of Python scripts and C code, which numerically computes the solution of a two-dimensional delayed neural field of two-populations. The source code generates the figures provided in A Global Stability Analysis for Delayed Neural Fields, BCCN, Göttingen, 2014.
SI-RF-Structure Here is provided the Python source code of the peer-reviewed article Structure of Receptive Fields in a Computational Model of Area 3b of Primary Sensory Cortex, G.Is. Detorakis and N.P. Rougier, Frontiers in Computational Neuroscience, doi: 10.3389/fncom.2014.00076.
SITopMaps SITopMaps is a Python and C implementation of a self-organized neural field model of the primary somatosensory cortex. This source code implements the article: A Neural Field Model of the Somatosensory Cortex: Formation, Maintenance and Reorganization of Ordered Topographic Maps, G.Is. Detorakis and N.P Rougier, PLoS ONE, doi:10.1371/journal.pone.0040257.

Numerical Analysis

Software Title Description
pygpsa A Python script that computes the pseudospectra of a rectangular matrix based on the algorithm provided in the article: Pseudospectra of rectangular matrices, T.G. Wright and L.N. Trefethen, IMA Journal of Numerical Analysis, 22, 501--519, 2002.
CRKSolvers CRKSolvers is a C collection of Runge-Kutta methods. The collection contains the classical Euler's method, the RK45, the refined RK45 and the Fehlberg's method.


Software Title Description
LaTeXTools LaTeXTools, is a collection of simple python scripts which provides useful tools for latex productivity.
  • delatex: Removes all the latex-derivative files from a folder and recursively from all the subfolders.
  • latex_init: Creates a very basic LaTeX file in your current directory containing many standard and non-standard packages.
  • wclatex: Counts the text within a LaTeX file.


Software Title Description
SOM-DyDx SOM-DyDx, is a python script which implements Demartines dy-dx representation method. This method is useful in terms of inspecting if a self-organized map is consistent and well-organized. More details can be found in the original paper of Demartines: Organization measures and representations of the Kohonen maps, IFIP Working Group 10.6 Workshop, 1992.
BinCat BinCat, is a very simple C programm which reads a binary file and prints to stdout its contents.


Scientific Figures


Pastel Oil



Feel free to contact me. Here you will find all you need in order to reach me.

Mail Address
Georgios Is. Detorakis
2308 Social & Behavioral Sciences Gateway Building
92697 - 5100, CA, Irvine, USA
(not yet available)
E-mail Address
Skype Name