Publications
Research Articles (peer-reviewed)
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Neural sampling machine with stochastic synapse allows brain-like learning and inference
S. Dutta, G. Detorakis, A. Khanna, B. Grisafe, E. Neftci, and S. Datta
Nature Communications 13, 2571, 2022, DOI:10.1038/s41467-022-30305-8
[Article] -
OpenPelt: Python Framework for Thermoelectric Temperature Control System Development
R. Parise and G. Is. Detorakis
The Journal of Open Source Software, 7(73), 4306, DOI:https://doi.org/10.21105/joss.04306
[Article] -
Randomized Self Organizing Map
N. P. Rougier and G. Is. Detorakis
Neural Computation, 33(8), 2021, DOI:https://doi.org/10.1162/neco_a_01406 [Article] [arXiv] -
Stability analysis of a neural field self-organizing map
G. Detorakis, A. Chaillet and N.P. Rougier
The Journal of Mathematical Neuroscience, 10(20), 2020, DOI:https://doi.org/10.1186/s13408-020-00097-6
[Article] -
GAIM: A C++ library for Genetic Algorithms and Island Models
G. Detorakis, A. Burton
The Journal of Open Source Software, 4(44), 1839, 2019, DOI:https://doi.org/10.21105/joss.01839
[Article] -
Memory-efficient Synaptic Connectivity for Spike-Timing-Dependent Plasticity
B. U. Pedroni, S. Joshi, S. Deiss, S. Sheik, G. Detorakis, S. Paul, C. Augustine, E. O. Neftci, G. Cauwenberghs
Frontiers in Neuroscience, DOI: https://doi.org/10.3389/fnins.2019.00357
[Article] -
Contrastive Hebbian Learning with Random Feedback Weights
G. Detorakis, T. Bartley, E. Neftci
Neural Networks 114, 2019, doi: https://doi.org/10.1016/j.neunet.2019.01.008
[Article] [arXiv] -
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
[Article] -
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
E. Neftci, S. Paul, C. Augustine, G. Detorakis
Frontiers in Neuroscience 11, 2017, doi: https://doi.org/10.3389/fnins.2017.00324
[Article] -
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: https://doi.org/10.1016/j.automatica.2017.05.011
[Article] -
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: https://doi.org/10.3389/fnins.2015.00237
[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, 8, 2014, doi: https://doi.org/10.3389/fncom.2014.00076
[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 7(7):e40257, doi: https://doi.org/10.1371/journal.pone.0040257
[Article]
Reproducible Science Articles (peer-reviewed)
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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
PeerJ Computer Science, 3, e142, 2017
[Article] -
[Re] A Generalized Linear Integrate-And-Fire Neural Model Produces Diverse Spiking Behaviors
G. Is. Detorakis
The ReScience Journal, 2017, DOI: https://doi.org/10.5281/zenodo.1003214
[Article] -
[Re] Multiple dynamical modes of thalamic relay neurons: rhythmic bursting and intermittent phase-locking
G. Is. Detorakis
The ReScience Journal, 2:1, 2016, DOI: https://doi.org/10.5281/zenodo.61697
[Article]
International Conferences (peer-reviewed)
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Inherent Weight Normalization in Stochastic Neural Networks
G. Detorakis, S. Dutta, A. Khanna, M. Jerry, S. Datta, and E. Neftci
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada.
[Article] -
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.
[Article] -
Incremental Stability of Spatiotemporal Delayed Dynamics and Application to Neural Fields
G. Detorakis and A. Chaillet
IEEE CDC 2017, Melbourne, Australia.
[Article] [HAL] -
Event-Driven Random Backpropagation: Enabling Neuromorphic Deep Learning Machines
E. Neftci, C. Augustine, S. Paul, G. Detorakis,
IEEE ISCAS 2017, Baltimore, MD, USA.
[Article] -
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.
[Article] -
SPySort: Neuronal Spike Sorting with Python
C. Pouzat and G.Is. Detorakis,
Euroscipy 2014, Cambridge, United Kingdom.
[Article] -
Self-Organizing Dynamic Neural Fields
N. P. Rougier and G. Is. Detorakis
3rd International Conference on Cognitive Neurodynamics, Hokkaido, Japan, 2011.
[Article] [pdf]
Book Chapters
- ISS-stabilization of delayed neural fields by small-gain arguments
A. Chaillet, G. Is. Detorakis, S. Palfi, and S. Senova
Delays and Interconnections: Methodology, Algorithms and Applications, Springer, 2019
Preprints
- Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
G. Is. Detorakis, arXiv, 2024
[Article]
Submitted articles
- Elena: Open Source JavaScript Game Engine for Educators
R. Parise and G. Is. Detorakis
Submitted to Journal of Open Source Education
International Conferences
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A neural network model of predictive smooth pursuit eye movement in primates
H.J. Kashyap, G. Detorakis, N. Dutt, J.L. Krichmar, E. Neftci
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
Minor Conferences
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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
Popular Science
- Optogenetics to unravel the mechanisms of Parkinsonian symptoms and to optimize deep brain stimulation
A. Chaillet, D. Da Silva, G. Detorakis, C. Pouzat, S. Senova
ERCIM News, Special issue on cyber-physical systems, number 97, April 2014