Publications

This section lists the HAL publications of some NeuroMod members (non-exhaustive), as well as of our Master students! 

Master Students Publications

Köhler, L., & Romero, M. (2023, July 23-28) Assessment of divergent thinking in a Human Robot Interaction task: an edit distance approach at the configuration level. 25th International Conference on Human-Computer Interaction. Copenhagen. Denmark. [Paper accepted].

Krubeal Danieli, Alice Guyon, Ingrid Bethus, (2023), Episodic Memory formation: A review of complex Hippocampus input pathways.Progress. In Neuro-Psychopharmacology and Biological Psychiatry, Volume 126, 110757, https://doi.org/10.1016/j.pnpbp.2023.110757.

Pavlidis, E., Campillo, F., Goldbeter, A. et al. Multiple-timescale dynamics, mixed mode oscillations and mixed affective states in a model of bipolar disorder. Cogn Neurodyn (2022). https://doi.org/10.1007/s11571-022-09900-4

Romero, M., & Köhler, L. (2021, June 7-11), Du modèle de tâche au corpus de données pour l'analyse de la résolution créative de problème en contexte médiatisé.10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Fribourg, Suisse. https://dumas.ccsd.cnrs.fr/LINE/hal-03293060v1

2023

Strategy inference during learning via cognitive activity-based credit assignment models
Ashwin James, Patricia Reynaud‑Bouret, Giulia Mezzadri, Francesca Sargolini, Ingrid Bethus & Alexandre Muzy
Scientifc Reports, 13:9408 (2023)
DOI:10.1038/s41598-023-33604-2

Dual contribution of ASIC1a channels in the spinal processing of pain information by deep projection neurons revealed by computational modeling
Magda Chafaï, Ariane Delrocq, Perrine Inquimbert, Ludivine Pidoux, Kevin Delanoe, Maurizio Toft, Frederic Brau, Eric Lingueglia, Romain Veltz, Emmanuel Deval
Plos Computational Biology (2023)
https://doi.org/10.1371/journal.pcbi.1010993

2022

The non linear dynamics of retinal waves
B. Cessac, D. Matzakou-Karvouniari
Submitted

Retinal processing: some mathematical insights
B. Cessac
J. Imaging 2022, 8(1), 14; https://doi.org/10.3390/jimaging8010014

A novel approach to the functional classification of retinal ganglion cells
G. Hilgen, E. Kartsaki, V. Kartysh, B. Cessac, E. Sernago
to appear in Royal Society Open Biology, 2022.

Receptive field estimation in large visual neuron assemblies using a super-resolution approach
D. Pamplona, G. Hilgen, M. Hennig, B. Cessac, E. Sernagor, P. Kornprobst
to appear in Journal of Neurophysiology, 2022.

2021

Linear response for spiking neuronal networks with unbounded memory
B. Cessac, I. Ampuero, R. Cofre
Entropy, MDPI, 2021, 23 (2), pp.155.

On the potential role of lateral connectivity in retinal anticipation
S. Souihel, B. Cessac
Journal of Mathematical Neuroscience, BioMed Central, 2021, 11, ⟨10.1186/s13408-020-00101-z⟩

2020

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Lyes Khacef, Laurent Rodriguez, Benoıt Miramond
MDPI Electronics undefined, undefined (2020)

Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef, Laurent Rodriguez, Benoit Miramond
International Conference on Neural Information Processing (ICONIP) 2020 (2020)

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Lyes Khacef, Laurent Rodriguez, Benoıt Miramond

Dynamic Structural and Computational Resource Allocation for Self-Organizing Architectures
Pierre-Emmanuel Novac, Andres Upegui, Diego Barrientos, Claudio Sousa, Laurent Rodriguez, Benoit Miramond
ICECS 2020 (2020)

Discrete event simulation of point processes: A computational complexity analysis on sparse graphs
Cyrille Mascart, Alexandre Muzy, Patricia Reynaud-Bouret

Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks
Tien Cuong Phi, Alexandre Muzy, Patricia Reynaud-Bouret
SN Computer Science 1, undefined (2020)

A comparative study of LSTM and ARIMA for energy load prediction with enhanced data preprocessing,
Innocent Mpawenimana, Alain Pegatoquet, V. Roy, Laurent Rodriguez, Cécile Belleudy
15th IEEE Sensors Applications Symposium (SAS) (2020)

Morphisms for Lumping Finite-Size Linear System Realizations of Componentized Neural Networks
Alexandre Muzy, Bernard Zeigler

SPARSE SPACE-TIME MODELS: CONCENTRATION INEQUALITIES AND LASSO
G Ost, Patricia Reynaud-Bouret
Annales de l'IHP - Probabilités et Statistiques undefined, undefined (2020)

Fed-BioMed: A general open-source frontendframework for federated learning in healthcare
Santiago Silva, Andre Altmann, Boris Gutman, Marco Lorenzi
MICCAI 2020 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention - 1st Workshop on Distributed and Collaborative Learning (2020)

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
MICCAI 2020: 23th International Conference on Medical Image Computing and Computer Assisted Intervention (2020)

Simulating the outcome of amyloid treatments in Alzheimer's Disease from multi-modal imaging and clinical data
Clément Abi Nader, Nicholas Ayache, Giovanni Frisoni, Philippe Robert, Marco Lorenzi

Beyond Riemannian geometry: The affine connection setting for transformation groups
Xavier Pennec, Marco Lorenzi
Riemannian Geometric Statistics in Medical Image Analysis

Voxel-based assessments of treatment effects on longitudinal brain changes in the Multidomain Alzheimer Preventive Trial cohort
Raphaël Sivera, Nicolas Capet, Valeria Manera, Roxane Fabre, Marco Lorenzi, Hervé Delingette, Xavier Pennec, Nicholas Ayache, Philippe Robert
Neurobiology of Aging 94, 50-59 (2020)

Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data
Marta Nuñez-Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart (2020)

Neural coding: adapting spike generation for embedded hardware classification
Nassim Abderrahmane, Benoit Miramond
IEEE World Congress on Computational Intelligence (WCCI) 2020 (2020)

Design Space Exploration of hardware spiking neurons for embedded Artificial Intelligence
Nassim Abderrahmane, Edgar Lemaire, Benoit Miramond
Neural Networks - Elsevier 121, 366-386 (2020)

Spike Nets for low power image processing
Benoit Miramond
4th Huawei Future ISP (Image Signal Processing) technologies workshop (2020)

Space Use-Case: Onboard Satellite Image Classification
Edgar Lemaire, Philippe Millet, Benoit Miramond, Sébastien Bilavarn, Hadi Saoud, Alvin Sashala Naik
Towards Ubiquitous, Low-power Image Processing Platforms

Toward unsupervised Human Activity Recognition on Microcontroller Units
Pierre-Emmanuel Novac, Adrien Russo, Benoit Miramond, Alain Pegatoquet, François Verdier, Andrea Castagnetti
conférence Euromicro DSD 2020 (2020)

GPU-based Self-Organizing-Maps for Post-Labeled Few-Shot Unsupervised Learning
Lyes Khacef, Vincent Gripon, Benoit Miramond
International Conference on Neural Information Processing (ICONIP) 2020 (2020)

An FPGA-based Hybrid Neural Network accelerator for embedded satellite image classification
Edgar Lemaire, Matthieu Moretti, Lionel Daniel, Benoit Miramond, Philippe Millet, Frederic Feresin, Sébastien Bilavarn
IEEE International Symposium ofn Circuit and Systems (ISCAS 2020) (2020)

Syllable structure and (re-)syllabification
Diana Passino, Tobias Scheer, Joaquim Brandão De Carvalho
Manual of Romance Phonetics and Phonology, édité par Christoph Gabriel, Randall Gess & Trudel Meisenburg.

EEG-based evidence supporting the truly phonological character of velar softening
Tobias Scheer, Mirjam de Jonge, Alexander Chabot
17th Old World Conference in Phonology (2020)

Velar softening is phonological: EEG-based evidence
Tobias Scheer, Mirjam de Jonge, Alexander Chabot
Generative Linguistics of the Old World (GLOW 43) (2020)

Une Grammaire historique de l’an 2020
Bernard Combettes, Sophie Prévost, Christiane Marchello-Nizia, Tobias Scheer
Grande Grammaire historique du français

Grande Grammaire historique du français
Bernard Combettes, Christiane Marchello-Nizia, Sophie Prévost, Tobias Scheer

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
R. Cofré, C. Maldonado, B. Cessac
Entropy 2020, 22, 1330.

The retina as a dynamical system
B. Cessac
in “Recent Trends in Chaotic, Nonlinear and Complex Dynamics”, World Scientific, J. Awrejcewicz, S. Rajasekar and M. Ragulskis Eds, 2020.

Ghost attractors in spontaneous brain activity: wandering in a repertoire of functionally relevant BOLD phase-locking solutions
J. Vohryzek, G. Deco, B. Cessac, M. L. Kringelbach and J. Cabral
Frontiers in Systems Neuroscience, Frontiers, 2020, 14, ⟨10.3389/fnsys.2020.00020⟩.

2019

Learning Dynamics of Cognitive Parallel Processing Based on a Collective Evaluation
Oussama Sabri, Alexandre Muzy
IEEE Computer Society undefined, undefined (2019)

Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models
Eman Ahmed, Reda El-Khoribi, Alexandre Muzy, Gilles Bernot, Gamal Darwish
8th International Conference on Pattern Recognition Applications and Methods (2019)

Formal Neuron Models: Delays Offer a Simplified Dendritic Integration for Free
Ophélie Guinaudeau, Gilles Bernot, Alexandre Muzy, Daniel Gaffé, Franck Grammont
Communications in Computer and Information Science book series, extended selected paper from Biomedical Engineering Systems and Technologies conference (BIOSTEC 2018)

Exploiting Activity for the Modeling and Simulation of Dynamics and Learning Processes in Hierarchical (Neurocognitive) Systems
Alexandre Muzy
Computing in Science and Engineering 21, 84-93 (2019)

A concentration inequality for inhomogeneous Neymann-Scott point processes
Jean-François Coeurjolly, Patricia Reynaud-Bouret
Statistics and Probability Letters 148, undefined (2019)

EXPONENTIAL INEQUALITY FOR CHAOS BASED ON SAMPLING WITHOUT REPLACEMENT
P Hodara, Patricia Reynaud-Bouret
Statistics and Probability Letters 146, undefined (2019)

A Data-Dependent Weighted LASSO Under Poisson Noise
Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
IEEE Transactions on Information Theory 65, 1589-1613 (2019)

Exponential inequality for chaos based on sampling without replacement
Pierre Hodara, Patricia Reynaud-Bouret
Statistics and Probability Letters 146, 65-69 (2019)

Prevalence of lack of interest and anhedonia in the general population of the UK Biobank
Valeria Manera, Luigi Antelmi, Radia Zeghari, Nicholas Ayache, Marco Lorenzi, Philippe Robert

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
ICML 2019 - 36th International Conference on Machine Learning (2019)

A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments
Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
NeuroImage 198, 255-270 (2019)

Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart (2019)

Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
NeuroImage undefined, undefined (2019)

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Proceedings of Machine Learning Research undefined, 302--311 (2019)

Towards a Multidimensional Assessment of Apathy in Neurocognitive Disorders
Radia Zeghari, Philippe Robert, Valeria Manera, Marco Lorenzi, Alexandra König

Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
Sara Garbarino, Marco Lorenzi
STACOM 2019: Statistical Atlases and Computational Models of the Heart (2019)

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
Claire Cury, Stanley Durrleman, David Cash, Marco Lorenzi, Jennifer Nicholas et al. 
NeuroImage 188, 282-290 (2019)

Malvoyance: des lunettes pour raconter le monde
Benoit Miramond, Andrea Castagnetti

QoS and Energy-Aware Run-time Adaptation for Mobile Robotic Missions: A Learning Approach
Dinh-Khanh Ho, Karim Ben Chehida, Benoit Miramond, Michel Auguin
International Conference on Robotic Computing, 2019. (2019)

Information coding and hardware architecture of spiking neural networks
Nassim Abderrahmane, Benoit Miramond
Euromicro DSD/SEAA 2019 (2019)

Specialized visual sensor coupled to a dynamic neural field for embedded attentional process
Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoit Miramond
2019 IEEE Sensors Applications Symposium (SAS) (SAS 2019) (2019)

Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based application
Roland Kromes, Adrien Russo, Benoit Miramond, François Verdier
Sensors Applications Symposium 2019 (2019)

Self-organizing neurons: toward brain-inspired unsupervised learning
Lyes Khacef, Benoit Miramond, Diego Barrientos, Andres Upegui
The International joint Conference On Neural Networks (2019)

Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions
Dinh-Khanh Ho, Karim Ben Chehida, Benoit Miramond, Michel Auguin
International Journal of Semantic Computing 13, undefined (2019)

Written and spoken digits database for multimodal learning
Lyes Khacef, Laurent Rodriguez, Benoıt Miramond

Synchronous Approach for Modeling Spiking Neurons
Marino Rasamuel, Daniel Gaffé, Timothée Levi, Benoit Miramond
2019 IEEE Biomedical Circuits and Systems Conference BIOCAS 2019 (2019)

On the difference between the lexicon and computation (regarding Slavic yers)
Tobias Scheer
Linguistic Inquiry 50, 197-218 (2019)

On the lexical character of intermodular communication
Tobias Scheer
Radical 1, undefined (2019)

Phonetic arbitrariness: a cartography
Tobias Scheer
Phonological Studies (Phonological Society of Japan) 22, 105-118 (2019)

A representational alternative for lexically-specific phonology
Tobias Scheer, Samir Ben Si Said
27th Manchester Phonology Meeting (2019)

French diachronics: what left-moving yod tells us about s+C
Tobias Scheer, Philippe Ségéral
17th Meeting of the Réseau Français de Phonologie (RFP) (2019)

Reinforcement learning and behaviourism
Tobias Scheer
First Meeting of the NeuroMod Institute (2019)

What the Neogrammarians knew, and what they ignored
Tobias Scheer, Philippe Ségéral
The Fourth Edinburgh Symposium on Historical Phonology (2019)

Sonority is different
Tobias Scheer
Studies in Polish Lingistics 14, 127-151 (2019)

The remote island, unattested patterns and initial clusters
Tobias Scheer
Approaches to the Study of Sound Structure and Speech. Interdisciplinary Work in Honour of Katarzyna Dziubalska-Kolaczyk

Allegedly phonological processes in sequential processing of lexical, grammatical, and phonological information
Tobias Scheer, Fabien Mathy, Fanny Meunier
59th Annual meeting of the Psychonomic Society (2019)

Linear response in neuronal networks: from neurons dynamics to collective response
B. Cessac
Chaos, American Institute of Physics, 2019, 29 (103105).

A biophysical model explains the spontaneous bursting behavior in the developing retina
D. Karvouniari, L. Gil, O. Marre, S. Picaud, B.Cessac
Scientific Reports, Nature Publishing Group, 2019, 9 (1), pp.1-23.

2018

Surface engineering of ITO electrode with a functional polymer for PEDOT:PSS-free organic solar cells
Hussein Awada, Giorgio Mattana, Aurélien Tournebize, Laurent Rodriguez, D. Flahaut, Luc Vellutini, Christine Lartigau-Dagron, L. Billon, Antoine Bousquet, Sylvain Chambon
Organic Electronics 57, 186-193 (2018)

Computer-Aided Formal Proofs about Dendritic Integration within a Neuron
Ophélie Guinaudeau, Gilles Bernot, Alexandre Muzy, Daniel Gaffé, Franck Grammont
BIOINFORMATICS 2018 - 9th International Conference on Bioinformatics Models, Methods and Algorithms (2018)

Iterative Specification as a Modeling and Simulation Formalism for I/O General Systems
Alexandre Muzy, Bernard Zeigler, Franck Grammont
IEEE Systems Journal 12, 2982-2993 (2018)

Continuous testing for Poisson process intensities: a new perspective on scanning statistics
Franck Picard, Patricia Reynaud-Bouret, Etienne Roquain
Biometrika undefined, undefined (2018)

Reconstructing the functional connectivity of multiple spike trains using Hawkes models
Régis Lambert, Christine Tuleau-Malot, Thomas Bessaih, Vincent Rivoirard, Yann Bouret, Nathalie Leresche, Patricia Reynaud-Bouret
Journal of Neuroscience Methods 297, 9-21 (2018)

Erreurs et Tests statistiques
Patricia Reynaud-Bouret, Fanny Bastien

Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Understanding and Interpreting Machine Learning in Medical Image Computing Applications (2018)

Supplementary Material of the paper: "Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi

Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Machine Learning in Clinical Neuroimaging (MLCN) workshop (2018)

Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Lecture Notes in Computer Science 11038, 15-23 (2018)

Blood Levels of Omega 3 and 6 across the Progression of Alzheimer's Disease
Marco Lorenzi, Hélène Barelli

Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material)
Santiago Silva, Boris Gutman, Eduardo Romero, Paul Thompson, Andre Altmann, Marco Lorenzi

Appendix Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
Clement Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi

A magnetic resonance multi-atlas for the neonatal rabbit brain
Sebastiano Ferraris, Johannes van der Merwe, Lennart van der Veeken, Ferran Prados, Juan Eugenio Iglesias, Marco Lorenzi, Andrew Melbourne, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren
NeuroImage 179, 187 - 198 (2018)

Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci
Marzia A Scelzi, Raiyan R Khan, Marco Lorenzi, Christopher Leigh, Michael D Greicius, Jonathan M. Schott, Sébastien Ourselin, Andre Altmann
Brain - A Journal of Neurology 141, 2167 - 2180 (2018)

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
Silva Rincon Santiago Smith, Boris Gutman, Eduardo Romero, Paul Thompson, Andre Altmann, Marco Lorenzi
International Symposium on Biomedical Imaging (2018)

Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease, evidence from functional prioritization in imaging genetics
Marco Lorenzi, Andre Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek Hibar, Neda Jahanshad, Jonathan Schott, Daniel Alexander, Paul Thompson, Sébastien Ourselin
Proceedings of the National Academy of Sciences of the United States of America 115, 3162-3167 (2018)

Disentangling spatio-temporal patterns of brain changes in large-scale brain imaging databases through Independent Gaussian Process Analysis
Clement Abi Nader, Nicholas Ayache, Valeria Manera, Philippe Robert, Marco Lorenzi

Constraining the Dynamics of Deep Probabilistic Models
Marco Lorenzi, Maurizio Filippone
ICML 2018 - The 35th International Conference on Machine Learning (2018)

A method for statistical learning in large databases of heterogeneous imaging, cognitive and behavioral data.
Luigi Antelmi, Marco Lorenzi, Valeria Manera, Philippe Robert, Nicholas Ayache

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study
Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer Nicholas et al.

Maturation of the [Ni–4Fe–4S] active site of carbon monoxide dehydrogenases
Meriem Merrouch, Martino Benvenuti, Marco Lorenzi, Christophe Léger, Vincent Fourmond, Sébastien Dementin
Journal of Biological Inorganic Chemistry 23, 613–620 (2018)

Neuromorphic hardware as a self-organizing computing system
Lyes Khacef, Bernard Girau, Nicolas Rougier, Andres Upegui, Benoıt Miramond
WCCI 2018 - IEEE World Congress on Computational Intelligence, Workshop NHPU : Neuromorphic Hardware In Practice and Use (2018)

A distributed cellular approach of large scale SOM models for hardware implementation
Laurent Rodriguez, Lyes Khacef, Benoît Miramond
IEEE Conference on Image Processing and Signals (IPAS) (2018)

Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps
Adrien Russo, François Verdier, Benoît Miramond
International Workshop on Recent Advances in Cellular Technologies and 5G for IoT Environments (RACT-5G-IoT 2018) (2018)

Towards A Multi-Mission QoS and Energy Manager for Autonomous Mobile Robots
Dinh-Khanh Ho, Karim Chehida, Benoît Miramond, Michel Auguin
International Conference on Robotic Computing (2018)

Pruning Self-Organizing Maps for Cellular Hardware Architectures
Andres Upegui, Bernard Girau, Nicolas P. Rougier, Fabien Vannel, Benoıt Miramond
AHS 2018 - 12th NASA/ESA Conference on Adaptive Hardware and Systems (2018)

Hardware design of spiking neural networks for energy-efficient brain inspired computing
Nassim Abderrahmane, Benoit Miramond

Smart IoT for Mobility: Automating of Mobility Value Chain through the Adoption of Smart Contracts within IoT Platforms
François Verdier, Primavera de Filippi, Frédéric Mallet, Philippe Collet, Lise Arena, Amel Attour, Marta Ballator, Michela Chessa, Agnès Festré, Patricia Guitton-Ouhamou, Raphaël Bernhard, Benoit Miramond

Confronting machine-learning with neuroscience for neuromorphic architectures design
Lyes Khacef, Nassim Abderrahmane, Benoit Miramond
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (2018)

Architectural exploration of hardware Spiking Neural Networks integrating Non-Volatile Memories
Edgar Lemaire, Benoit Miramond, François Duhem

Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies
Lorena Anghel, Giorgio Di Natale, Benoit Miramond, Elena Ioana Vatajelu, E. Vianello
26th IFIP IEEE International Conference on Very Large Scale Integration (VLSI SOC 2018) (2018)

On the difference between the lexicon and computation (regarding Slavic yers)
Tobias Scheer
Linguistics in Göttingen Colloquium (2018)

How to interpret phonological variation in Old French
Tobias Scheer
Workshop Linguistic Knowledge and Patterns of Variation (2018)

On the origin and distribution of universals
Tobias Scheer
Crecchio workshop on Variation and universals in language: implications of typological evidence for formal grammar (2018)

Voice-induced vowel lengthening
Tobias Scheer
Papers in Historical Phonology undefined, undefined (2018)

Dual Phonology
Tobias Scheer
GLOW Workshop The Interface Within (2018)

Two ways of being minimalist(ic)
Tobias Scheer
GP Round Table (2018)

Voice-induced vowel lengthening
Tobias Scheer
Poznan Linguistics Meeting (2018)

How to detect the presence / absence of morphological activity in language production
Tobias Scheer, Meunier Fanny, Fabien Mathy
58e Congrès de la Société Française de Psychologie (2018)

Branching Onsets in Old Czech
Tobias Scheer, Markéta Zikova
Aspects of Slavic Linguistics

The Apex Paradox
Tobias Scheer, Kleanthes Grohmann, Markus Pöchtrager, Michael Schiffmann, Neven Wenger
Snippets undefined, undefined (2018)

Voice-induced vowel lengthening
Tobias Scheer
Third Edinburgh Symposium on Historical Phonology, (2018)

Western Slavic vowel lengthening before word-final sonorants and voiced obstruents
Tobias Scheer
Phonology, Fieldwork and Generalizations

The workings of phonology and its interfaces in a modular perspective.
Tobias Scheer
annual conference of the Phonological Society of Japan (2018)

Lexical access and arbitrariness and the phonological life cycle at the phonology-phonetics interface
Tobias Scheer
The Eleventh Conference on Syntax, Phonology and Language analysis (SinFonIJA 11) (2018)

How to determine whether an alleged phonological process is real
Tobias Scheer, Fabien Mathy, Fanny Meunier
15th Old World Conference in Phonology (2018)

Interfaces in Government Phonology
Tobias Scheer
The Routledge Handbook of Phonological Theory

Prosodic domains: overthrowing the hierarchy
Tobias Scheer, Heather Newell
25th Manchester Phonology Meeting (2018)

Syllable Structure in Government Phonology
Tobias Scheer
The Routledge Handbook of Phonological Theory

Government Phonology: Element theory, conceptual issues and introduction
Tobias Scheer
The Routledge Handbook of Phonological Theory

How to determine whether an alleged phonological process is real
Tobias Scheer, Fanny Meunier, Fabien Mathy
15th Old World Conference in Phonology (OCP15) (2018)

Features in syntax and phonology: ontology, properties, organization, processing
Tobias Scheer
[±features]: where do we go from here? (2018)

From Mind to Brain
Tobias Scheer, Lavinia Slabu
Second Meeting of C@UCA (2018)

Dual Phonology
Tobias Scheer
Workshop on Constituents (2018)

La réalité réelle
Tobias Scheer
Dynamiques linguistiques : variation, évolution et cognition. Etudes en hommage à Bernard Laks

Sur les aboutissements rr et r de tr / dr intervocaliques en ancien français
Tobias Scheer, Philippe Ségéral
Enregistrer la parole et écrire la langue dans la diachronie du français

Two Phonologies
Tobias Scheer, Noam Faust, Adèle Jatteau
26th Manchester Phonology Meeting (2018)

2017

Reconstructing the functional connectivity of multiple spike trains sing Hawkes models
Régis Lambert, Christine Tuleau-Malot, Thomas Bessaih, Vincent Rivoirard, Yann Bouret, Nathalie Leresche, Patricia Reynaud-Bouret

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images
Răzvan Valentin Marinescu, Arman Esaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian Crutch, Daniel Alexander
International Conference on Information Processing in Medical Imaging (IPMI) (2017)

Selection bias in the reported performances of AD classification pipelines
Alex F. Mendelson, Maria A. Zuluaga, Marco Lorenzi, Brian F. Hutton, Sébastien Ourselin
Neuroimage-Clinical 14, 400 - 416 (2017)

Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease
Marco Lorenzi, Maurizio Filippone, Giovanni Frisoni, Daniel Alexander, Sébastien Ourselin
NeuroImage undefined, undefined (2017)

Réseaux de Neurones Artificiels pour l’Optimisation de la Consommation dans les Réseaux de Capteurs Sans Fil
Lyes Khacef, Adrien Russo, Benoit Miramond, François Verdier

Clusterisation de données pour la réduction de la consommation dans les réseaux de capteurs sans fils
Adrien Russo, François Verdier, Benoît Miramond

Implémentation matérielle des réseaux de neurones artificiels : des Neurosciences au Machine Learning
Lyes Khacef, Benoît Miramond

How to detect the presence / absence of morphological activity in language production
Tobias Scheer, Fabien Mathy
58e Congrès de la Société Française de Psychologie (2017)