Segui
Hassan-Roland Nasser
Hassan-Roland Nasser
Altri nomiRoland Nasser, Hassan Nasser
PhD in Computer Science
Email verificata su agroscope.admin.ch - Home page
Titolo
Citata da
Citata da
Anno
Spatio-temporal spike train analysis for large scale networks using the maximum entropy principle and Monte Carlo method
H Nasser, O Marre, B Cessac
Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03006, 2013
432013
PRANAS: a new platform for retinal analysis and simulation
B Cessac, P Kornprobst, S Kraria, H Nasser, D Pamplona, G Portelli, ...
Frontiers in Neuroinformatics 11, 49, 2017
372017
Parameter estimation for spatio-temporal maximum entropy distributions: Application to neural spike trains
H Nasser, B Cessac
Entropy 16 (4), 2244-2277, 2014
252014
Diagnostic Superficial Vein Scanner
Y Ayoub, S Serhal, B Farhat, A Ali, J Amatoury, H Nasser, MA Ali
2018 International Conference on Computer and Applications (ICCA), 2018
192018
ENAS: A new software for spike train analysis and simulation
B Cessac, P Kornprobst, S Kraria, H Nasser, D Pamplona, G Portelli, ...
Bernstein conference, 2016
62016
EnaS: a new software for neural population analysis in large scale spiking networks
H Nasser, S Kraria, B Cessac
BMC Neuroscience 14 (Suppl 1), P57, 2013
52013
Can we detect patterns in behavioral time series of cows using cluster analysis?
J Stachowicz, R Nasser, F Adrion, C Umstätter
Journal of Dairy Science 105 (12), 9971-9981, 2022
32022
Spatio temporal Gibbs distribution analysis of spike trains using Monte Carlo method
H Nasser, O Marre, MJB Ii, B Cessac
AREADNE 2012 Research in Encoding And Decoding of Neural Ensembles, 2012
22012
Spike trains statistics in integrate and fire models: Exact results
B Cessac, H Nasser, JC Vasquez
arXiv preprint arXiv:1008.5074, 2010
22010
Parametric estimation of spike train statistics by Gibbs distributions: an application to bio-inspired and experimental data
B Cessac, JC Vasquez, H Nasser, H Rostro-Gonzalez, T Viéville, ...
Cinquième conférence plénière française de Neurosciences Computationnelles …, 2010
12010
Vorläufige Ergebnisse zum Einfluss der muttergebundenen Kälberaufzucht auf die ultra- und circadiane Aktivitätsrhythmik von Milchkühen
BK Schneider M, Umstätter C, Nasser HR, Gallmann E
Wissenschaftstagung Ökologischer Landbau, 454-455, 2023
2023
First studies on the influence of mother-bound calf rearing on the circadian rhythm activity of dairy cows
K Schneider, Marie and Umstatter, Christina and Nasser, Hassan-Roland and ...
Wita, 2022
2022
digiRhythm: Analyzing Animal's Rhythmicity
HR Nasser, M Schneider, J Stachowicz, C Umstaetter
https://cran.r-project.org/web/packages/digiRhythm/index.html, 2022
2022
Zeigen Milchkühe individuelle Tagesmuster bei der Nutzung von Funktionsbereichen im Stall und in ihrer Aktivität
J Stachowicz, F Adrion, RH Nasser, C Umstätter
openagrar, 385, 2021
2021
Detecting behavioural patterns of cows using an automated tracking system
J Stachowicz, F Adrion, HR Nasser, C Umstätter
Annual Meeting of the EAAP, 385, 2021
2021
A New Dumb's Communication System
L Al Tinnawi, R Harb, H Nasser, AJ Zaylaa, L Hamawy
23éme Conférence Scientifique Internationale La Science et la Recherche au …, 2017
2017
Analysis of large-scale spiking networks dynamics with Spatio-temporal constraints: application to multi-electrodes acquisitions in the retina
HR Nasser
Institut National de Recherche en Informatique et Automatique, 2014
2014
Analyzing large-scale spike trains data with spatio-temporal constraints
H Nasser, O Marre, S Kraria, T Viéville, B Cessac
NeuroComp/KEOpS'12 workshop beyond the retina: from computational models to …, 2012
2012
On the ubiquity of Gibbs distributions in spike train statistics
B Cessac, R Cofré, H Nasser
3rd annual meeting of the GDR 2904" Multi-electroides systems and signal …, 2012
2012
Toward a realistic input for visual cortex models
H Nasser, B Cessac, B Kolomiets, P Kornprobst, S Picaud
https://inria.hal.science/hal-00847449 10, 495-506, 2010
2010
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20