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Nicolas Farrugia
Nicolas Farrugia
IMT Atlantique, Department of Mathematical and Electrical Engineering
Verified email at imt-atlantique.fr - Homepage
Title
Cited by
Cited by
Year
Musically cued gait-training improves both perceptual and motor timing in Parkinson’s disease
CE Benoit, S Dalla Bella, N Farrugia, H Obrig, S Mainka, SA Kotz
Frontiers in human neuroscience 8, 494, 2014
2372014
Effects of musically cued gait training in Parkinson's disease: beyond a motor benefit
SD Bella, CE Benoit, N Farrugia, M Schwartze, SA Kotz
Annals of the New York Academy of Sciences 1337 (1), 77-85, 2015
1642015
Gait improvement via rhythmic stimulation in Parkinson’s disease is linked to rhythmic skills
SD Bella, CE Benoit, N Farrugia, PE Keller, H Obrig, S Mainka, SA Kotz
Scientific reports 7 (1), 42005, 2017
1612017
BAASTA: Battery for the assessment of auditory sensorimotor and timing abilities
S Dalla Bella, N Farrugia, CE Benoit, V Begel, L Verga, E Harding, ...
Behavior Research Methods 49, 1128-1145, 2017
1432017
Born to speak and sing: Musical predictors of language development in pre-schoolers
N Politimou, S Dalla Bella, N Farrugia, F Franco
Frontiers in Psychology 10, 948, 2019
862019
A functional connectome phenotyping dataset including cognitive state and personality measures
N Mendes, S Oligschläger, ME Lauckner, J Golchert, JM Huntenburg, ...
Scientific data 6 (1), 1-19, 2019
722019
Dissociation of formal and temporal predictability in early auditory evoked potentials
M Schwartze, N Farrugia, SA Kotz
Neuropsychologia 51 (2), 320-325, 2013
712013
Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure
N Farrugia, K Jakubowski, R Cusack, L Stewart
Consciousness and Cognition 35, 66-77, 2015
682015
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction
M Ménoret, N Farrugia, B Pasdeloup, V Gripon
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
662017
Fast and robust face detection on a parallel optimized architecture implemented on FPGA
N Farrugia, F Mamalet, S Roux, F Yang, M Paindavoine
IEEE Transactions on Circuits and Systems for Video Technology 19 (4), 597-602, 2009
622009
The speed of our mental soundtracks: Tracking the tempo of involuntary musical imagery in everyday life
K Jakubowski, N Farrugia, AR Halpern, SK Sankarpandi, L Stewart
Memory & Cognition 43, 1229-1242, 2015
562015
Graph Fourier Transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging
A Brahim, N Farrugia
Artificial Intelligence in Medicine 106, 101870, 2020
352020
Probing imagined tempo for music: Effects of motor engagement and musical experience
K Jakubowski, N Farrugia, L Stewart
Psychology of Music 44 (6), 1274-1288, 2016
322016
Involuntary and voluntary recall of musical memories: A comparison of temporal accuracy and emotional responses
K Jakubowski, Z Bashir, N Farrugia, L Stewart
Memory & cognition 46, 741-756, 2018
242018
BAASTA: battery for the assessment of auditory sensorimotor and timing abilities
N Farrugia, CE Benoit, E Harding, SA Kotz, S Dalla Bella
Joint Conference of the 12th International Conference on Music Perception …, 2012
222012
Design of a real-time face detection parallel architecture using high-level synthesis
N Farrugia, F Mamalet, S Roux, F Yang, M Paindavoine
EURASIP Journal on Embedded Systems 2008, 1-9, 2008
212008
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories
G Boukli Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
Journal of Signal Processing Systems 91, 1063-1073, 2019
202019
Transfer Incremental Learning using Data Augmentation
G Boukli Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
Applied Sciences 8 (12), 2512, 2018
192018
An intrinsic difference between vanilla RNNs and GRU models
T Stérin, N Farrugia, V Gripon
COGNTIVE 84, 2017, 2017
162017
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks
GB Hacene, V Gripon, M Arzel, N Farrugia, Y Bengio
arXiv preprint arXiv:1812.11337, 2018
152018
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