| Year |
Citation |
Score |
| 2024 |
Grimaldi A, Boutin V, Ieng SH, Benosman R, Perrinet LU. A robust event-driven approach to always-on object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 178: 106415. PMID 38852508 DOI: 10.1016/j.neunet.2024.106415 |
0.769 |
|
| 2023 |
Grimaldi A, Perrinet LU. Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. Biological Cybernetics. 117: 373-387. PMID 37695359 DOI: 10.1007/s00422-023-00975-8 |
0.344 |
|
| 2023 |
Ladret HJ, Cortes N, Ikan L, Chavane F, Casanova C, Perrinet LU. Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Communications Biology. 6: 667. PMID 37353519 DOI: 10.1038/s42003-023-05042-3 |
0.796 |
|
| 2022 |
Boutin V, Franciosini A, Chavane F, Perrinet LU. Pooling strategies in V1 can account for the functional and structural diversity across species. Plos Computational Biology. 18: e1010270. PMID 35862423 DOI: 10.1371/journal.pcbi.1010270 |
0.767 |
|
| 2022 |
Barthélemy FV, Fleuriet J, Perrinet LU, Masson GS. A behavioral receptive field for ocular following in monkeys: Spatial summation and its spatial frequency tuning. Eneuro. PMID 35760525 DOI: 10.1523/ENEURO.0374-21.2022 |
0.64 |
|
| 2022 |
Chavane F, Perrinet LU, Rankin J. Revisiting horizontal connectivity rules in V1: from like-to-like towards like-to-all. Brain Structure & Function. PMID 35122520 DOI: 10.1007/s00429-022-02455-4 |
0.689 |
|
| 2021 |
Boutin V, Franciosini A, Chavane F, Ruffier F, Perrinet L. Sparse deep predictive coding captures contour integration capabilities of the early visual system. Plos Computational Biology. 17: e1008629. PMID 33497381 DOI: 10.1371/journal.pcbi.1008629 |
0.781 |
|
| 2020 |
Boutin V, Franciosini A, Ruffier F, Perrinet L. Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Computation. 1-31. PMID 32946716 DOI: 10.1162/Neco_A_01325 |
0.751 |
|
| 2020 |
Pasturel C, Montagnini A, Perrinet LU. Humans adapt their anticipatory eye movements to the volatility of visual motion properties. Plos Computational Biology. 16: e1007438. PMID 32282790 DOI: 10.1371/journal.pcbi.1007438 |
0.381 |
|
| 2019 |
Perrinet LU. An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features. Vision (Basel, Switzerland). 3. PMID 31735848 DOI: 10.3390/vision3030047 |
0.36 |
|
| 2019 |
Chemla S, Reynaud A, di Volo M, Zerlaut Y, Perrinet L, Destexhe A, Chavane F. Suppressive traveling waves shape representations of illusory motion in primary visual cortex of awake primate. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30886010 DOI: 10.1523/Jneurosci.2792-18.2019 |
0.734 |
|
| 2019 |
Ravello CR, Perrinet LU, Escobar MJ, Palacios AG. Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli. Scientific Reports. 9: 456. PMID 30679564 DOI: 10.1038/s41598-018-36861-8 |
0.736 |
|
| 2019 |
Perrinet L. Des illusions aux hallucinations visuelles : une porte sur la perception Revue Neurologique. 175. DOI: 10.1016/J.Neurol.2019.01.031 |
0.328 |
|
| 2018 |
Damasse JB, Perrinet LU, Madelain L, Montagnini A. Reinforcement effects in anticipatory smooth eye movements. Journal of Vision. 18: 14. PMID 30347101 DOI: 10.1167/18.11.14 |
0.334 |
|
| 2018 |
Vacher J, Meso AI, Perrinet LU, Peyré G. Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures. Neural Computation. 1-38. PMID 30314424 DOI: 10.1162/neco_a_01142 |
0.419 |
|
| 2018 |
mansour pour k, Gekas N, Perrinet L, Mamassian P, Montagnini A, Masson G. Speed uncertainty and motion perception with naturalistic random textures Journal of Vision. 18: 345. DOI: 10.1167/18.10.345 |
0.728 |
|
| 2017 |
Khoei MA, Masson GS, Perrinet LU. The Flash-Lag Effect as a Motion-Based Predictive Shift. Plos Computational Biology. 13: e1005068. PMID 28125585 DOI: 10.1371/journal.pcbi.1005068 |
0.817 |
|
| 2017 |
Damasse J, Montagnini A, Perrinet L. Dynamic modulation of volatility by reward contingencies: effects on anticipatory smooth eye movement Journal of Vision. 17: 273-273. DOI: 10.1167/17.10.273 |
0.37 |
|
| 2016 |
Kremkow J, Perrinet LU, Monier C, Alonso JM, Aertsen A, Frégnac Y, Masson GS. Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1. Frontiers in Neural Circuits. 10: 37. PMID 27242445 DOI: 10.3389/fncir.2016.00037 |
0.797 |
|
| 2016 |
Damasse J, Perrinet L, Jozefowiez J, Madelain L, Montagnini A. Operant reinforcement versus reward expectancy: effects on anticipatory eye movements Journal of Vision. 16: 1356. DOI: 10.1167/16.12.1356 |
0.442 |
|
| 2015 |
Taouali W, Benvenuti G, Wallisch P, Chavane F, Perrinet LU. Testing the Odds of Inherent versus Observed Over-dispersion in Neural Spike Counts. Journal of Neurophysiology. jn.00194.2015. PMID 26445864 DOI: 10.1152/Jn.00194.2015 |
0.798 |
|
| 2015 |
Damasse JB, Madelain L, Perrinet L, Montagnini A. Anticipatory smooth eye movements and reinforcement. Journal of Vision. 15: 1019. PMID 26326707 DOI: 10.7490/F1000Research.1098018.1 |
0.442 |
|
| 2015 |
Taouali W, Benvenuti G, Chavane F, Perrinet L. A dynamic model for decoding direction and orientation in macaque primary visual cortex. Journal of Vision. 15: 484. PMID 26326172 DOI: 10.1167/15.12.484 |
0.805 |
|
| 2015 |
Perrinet LU, Bednar JA. Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. 5: 11400. PMID 26096913 DOI: 10.1038/Srep11400 |
0.695 |
|
| 2015 |
Perrinet LU. Sparse Models for Computer Vision Biologically Inspired Computer Vision: Fundamentals and Applications. 319-346. DOI: 10.1002/9783527680863.ch14 |
0.341 |
|
| 2015 |
Montagnini A, Perrinet LU, Masson GS. Visual Motion Processing and Human Tracking Behavior Biologically Inspired Computer Vision: Fundamentals and Applications. 267-294. DOI: 10.1002/9783527680863.ch12 |
0.642 |
|
| 2015 |
Cristóbal G, Perrinet LU, Keil MS. Introduction Biologically Inspired Computer Vision: Fundamentals and Applications. 1-10. DOI: 10.1002/9783527680863.ch1 |
0.185 |
|
| 2015 |
Cristóbal G, Perrinet LU, Keil MS. Biologically inspired computer vision: Fundamentals and applications Biologically Inspired Computer Vision: Fundamentals and Applications. 1-458. DOI: 10.1002/9783527680863 |
0.242 |
|
| 2014 |
Perrinet LU, Adams RA, Friston KJ. Active inference, eye movements and oculomotor delays. Biological Cybernetics. 108: 777-801. PMID 25128318 DOI: 10.1007/s00422-014-0620-8 |
0.488 |
|
| 2014 |
Meso AI, Simoncini C, Perrinet L, Masson GS. Beyond simply faster and slower: exploring paradoxes in speed perception Journal of Vision. 14: 491-491. DOI: 10.1167/14.10.491 |
0.628 |
|
| 2014 |
Perrinet LU, Bednar JA. Edge co-occurrences are sufficient to categorize natural versus animal images Journal of Vision. 14: 1310-1310. DOI: 10.1167/14.10.1310 |
0.631 |
|
| 2014 |
Simoncini C, Montagnini A, Perrinet LU, Masson GS. The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task. Journal of Vision. 14: 110-110. DOI: 10.1167/14.10.110 |
0.568 |
|
| 2014 |
Kaplan BA, Khoei MA, Lansner A, Perrinet LU. Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network Proceedings of the International Joint Conference On Neural Networks. 3205-3212. DOI: 10.1109/IJCNN.2014.6889847 |
0.791 |
|
| 2013 |
Kaplan BA, Lansner A, Masson GS, Perrinet LU. Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers in Computational Neuroscience. 7: 112. PMID 24062680 DOI: 10.3389/Fncom.2013.00112 |
0.686 |
|
| 2013 |
Khoei MA, Masson GS, Perrinet LU. Motion-based prediction explains the role of tracking in motion extrapolation. Journal of Physiology, Paris. 107: 409-20. PMID 24036184 DOI: 10.1016/j.jphysparis.2013.08.001 |
0.804 |
|
| 2013 |
Simoncini C, Perrinet LU, Montagnini A, Masson GS. Different temporal integration for ocular following and speed perception Journal of Vision. 13: 385-385. DOI: 10.1167/13.9.385 |
0.614 |
|
| 2013 |
Meso A, Simoncini C, Perrinet L, Masson G. How and why do image frequency properties influence perceived speed? Journal of Vision. 13: 354-354. DOI: 10.1167/13.9.354 |
0.606 |
|
| 2013 |
Nava R, Marcos JV, Escalante-Ramírez B, Cristóbal G, Perrinet LU, Estépar RSJ. Advances in texture analysis for emphysema classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8259: 214-221. DOI: 10.1007/978-3-642-41827-3_27 |
0.191 |
|
| 2012 |
Adams RA, Perrinet LU, Friston K. Smooth pursuit and visual occlusion: active inference and oculomotor control in schizophrenia. Plos One. 7: e47502. PMID 23110076 DOI: 10.1371/journal.pone.0047502 |
0.475 |
|
| 2012 |
Simoncini C, Perrinet LU, Montagnini A, Mamassian P, Masson GS. More is not always better: adaptive gain control explains dissociation between perception and action. Nature Neuroscience. 15: 1596-603. PMID 23023292 DOI: 10.1038/Nn.3229 |
0.74 |
|
| 2012 |
Voges N, Perrinet L. Complex dynamics in recurrent cortical networks based on spatially realistic connectivities. Frontiers in Computational Neuroscience. 6: 41. PMID 22787446 DOI: 10.3389/Fncom.2012.00041 |
0.77 |
|
| 2012 |
Perrinet LU, Masson GS. Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. 24: 2726-50. PMID 22734489 DOI: 10.1162/NECO_a_00332 |
0.67 |
|
| 2012 |
Friston K, Adams RA, Perrinet L, Breakspear M. Perceptions as hypotheses: saccades as experiments. Frontiers in Psychology. 3: 151. PMID 22654776 DOI: 10.3389/fpsyg.2012.00151 |
0.458 |
|
| 2012 |
Leon PS, Vanzetta I, Masson GS, Perrinet LU. Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. Journal of Neurophysiology. 107: 3217-26. PMID 22423003 DOI: 10.1152/Jn.00737.2011 |
0.806 |
|
| 2012 |
Masson GS, Perrinet LU. The behavioral receptive field underlying motion integration for primate tracking eye movements. Neuroscience and Biobehavioral Reviews. 36: 1-25. PMID 21421006 DOI: 10.1016/j.neubiorev.2011.03.009 |
0.657 |
|
| 2012 |
Simoncini C, Montagnini A, Perrinet LU, Masson GS. Effect of image statistics on fixational eye movements Journal of Vision. 12: 1014-1014. DOI: 10.1167/12.9.1014 |
0.576 |
|
| 2011 |
Fleuriet J, Hugues S, Perrinet L, Goffart L. Saccadic foveation of a moving visual target in the rhesus monkey. Journal of Neurophysiology. 105: 883-95. PMID 21160007 DOI: 10.1152/Jn.00622.2010 |
0.681 |
|
| 2011 |
Bogadhi AR, Montagnini A, Mamassian P, Perrinet LU, Masson GS. Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference. Vision Research. 51: 867-80. PMID 20974165 DOI: 10.1016/J.Visres.2010.10.021 |
0.732 |
|
| 2011 |
Voges N, Perrinet L. The relationship between cortical network structure and the corresponding state space dynamics Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P345 |
0.767 |
|
| 2011 |
Khoei MA, Perrinet LU, Masson GS. Motion-based predictive coding is sufficient to solve the aperture problem Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P279 |
0.776 |
|
| 2011 |
Simoncini C, Montagnini A, Perrinet LU, Mamassian P, Masson GS. Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize Journal of Vision. 11: 749-749. DOI: 10.1167/11.11.749 |
0.703 |
|
| 2010 |
Kremkow J, Perrinet LU, Masson GS, Aertsen A. Functional consequences of correlated excitatory and inhibitory conductances in cortical networks. Journal of Computational Neuroscience. 28: 579-94. PMID 20490645 DOI: 10.1007/s10827-010-0240-9 |
0.791 |
|
| 2010 |
Perrinet LU. Role of homeostasis in learning sparse representations. Neural Computation. 22: 1812-36. PMID 20235818 DOI: 10.1162/neco.2010.05-08-795 |
0.386 |
|
| 2010 |
Voges N, Perrinet L. Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology, Paris. 104: 51-60. PMID 19909813 DOI: 10.1016/J.Jphysparis.2009.11.004 |
0.775 |
|
| 2010 |
Daucé E, Perrinet L. Computational neuroscience, from multiple levels to multi-level. Journal of Physiology, Paris. 104: 1-4. PMID 19909810 DOI: 10.1016/j.jphysparis.2009.11.001 |
0.387 |
|
| 2010 |
Simoncini C, Perrinet LU, Montagnini A, Mamassian P, Masson GS. Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation Journal of Vision. 10: 834-834. DOI: 10.1167/10.7.834 |
0.7 |
|
| 2010 |
Bogadhi A, Montagnini A, Mamassian P, Perrinet L, Masson G. A recurrent Bayesian model of dynamic motion integration for smooth pursuit Journal of Vision. 10: 545-545. DOI: 10.1167/10.7.545 |
0.74 |
|
| 2009 |
Perrinet LU, Masson GS. Decoding the population dynamics underlying ocular following response using a probabilistic framework Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P359 |
0.612 |
|
| 2009 |
Kremkow J, Perrinet L, Reynaud A, Aertsen A, Masson GS, Chavane F. Dynamics of non-linear cortico-cortical interactions during motion integration in early visual cortex: a spiking neural network model of an optical imaging study in the awake monkey Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P176 |
0.818 |
|
| 2009 |
Kremkow J, Perrinet L, Monier C, Frégnac Y, Masson GS, Aertsen A. Control of the temporal interplay between excitation and inhibition by the statistics of visual input Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-O21 |
0.784 |
|
| 2008 |
Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L, Yger P. PyNN: A Common Interface for Neuronal Network Simulators. Frontiers in Neuroinformatics. 2: 11. PMID 19194529 DOI: 10.3389/Neuro.11.011.2008 |
0.781 |
|
| 2008 |
Barthélemy FV, Perrinet LU, Castet E, Masson GS. Dynamics of distributed 1D and 2D motion representations for short-latency ocular following. Vision Research. 48: 501-22. PMID 18221979 DOI: 10.1016/J.Visres.2007.10.020 |
0.628 |
|
| 2008 |
Perrinet LU. Sparse spike coding: Applications of neuroscience to the processing; of natural images Proceedings of Spie - the International Society For Optical Engineering. 7000. DOI: 10.1117/12.787076 |
0.31 |
|
| 2007 |
Perrinet LU, Masson GS. Modeling spatial integration in the ocular following response using a probabilistic framework. Journal of Physiology, Paris. 101: 46-55. PMID 18042358 DOI: 10.1016/j.jphysparis.2007.10.011 |
0.688 |
|
| 2007 |
Montagnini A, Mamassian P, Perrinet L, Castet E, Masson GS. Bayesian modeling of dynamic motion integration. Journal of Physiology, Paris. 101: 64-77. PMID 18036790 DOI: 10.1016/j.jphysparis.2007.10.013 |
0.751 |
|
| 2007 |
Perrinet L. On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P206 |
0.47 |
|
| 2007 |
Davison A, Yger P, Kremkow J, Perrinet L, Muller E. PyNN: towards a universal neural simulator API in Python Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P2 |
0.776 |
|
| 2007 |
Kremkow J, Perrinet L, Kumar A, Aertsen A, Masson G. Synchrony in thalamic inputs enhances propagation of activity through cortical layers Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P180 |
0.801 |
|
| 2007 |
Montagnini A, Mamassian P, Perrinet L, Masson G. Visual tracking of ambiguous moving objects: A recursive Bayesian model Journal of Vision. 7: 406-406. DOI: 10.1167/7.9.406 |
0.737 |
|
| 2007 |
Fischer S, Redondo R, Perrinet L, Cristóbal G. Sparse approximation of images inspired from the functional architecture of the primary visual areas Eurasip Journal On Advances in Signal Processing. 2007. DOI: 10.1155/2007/90727 |
0.448 |
|
| 2007 |
Perrinet L. Dynamical neural networks: Modeling low-level vision at short latencies European Physical Journal: Special Topics. 142: 163-225. DOI: 10.1140/epjst/e2007-00061-7 |
0.556 |
|
| 2007 |
Cessac B, Daucé E, Perrinet L, Samuelides M. Introduction European Physical Journal: Special Topics. 142: 1-5. DOI: 10.1140/epjst/e2007-00057-3 |
0.706 |
|
| 2007 |
Montagnini A, Mamassian P, Perrinet L, Masson G. Dynamic inference for motion tracking Perception. 36: 0-0. DOI: 10.1068/V070440 |
0.722 |
|
| 2007 |
Fischer S, Šroubek F, Perrinet L, Redondo R, Cristóbal G. Self-invertible 2D log-Gabor wavelets International Journal of Computer Vision. 75: 231-246. DOI: 10.1007/s11263-006-0026-8 |
0.398 |
|
| 2006 |
Wohrer A, Masson G, Perrinet L, Kornprobst P, Viéville T. Contrast sensitivity adaptation in a virtual spiking retina and its comparison with mammalian retinas Perception. 35: 0-0. DOI: 10.1068/V060573 |
0.63 |
|
| 2005 |
Fischer S, Redondo R, Perrinet L, Crist́bal G. Sparse gabor wavelets by local operations Proceedings of Spie - the International Society For Optical Engineering. 5839: 75-86. DOI: 10.1117/12.608403 |
0.39 |
|
| 2005 |
Perrinet L. Efficient source detection using integrate-and-fire neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 167-172. DOI: 10.1007/11550822_27 |
0.27 |
|
| 2004 |
Perrinet L. Feature detection using spikes: the greedy approach. Journal of Physiology, Paris. 98: 530-9. PMID 16310348 DOI: 10.1016/j.jphysparis.2005.09.012 |
0.548 |
|
| 2004 |
Perrinet L, Samuelides M, Thorpe S. Coding static natural images using spiking event times: do neurons cooperate? Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1164-75. PMID 15484892 DOI: 10.1109/Tnn.2004.833303 |
0.773 |
|
| 2004 |
Perrinet L, Castet É, Masson G. A dynamic model for the visual perception of motion using parallel, lateral, and inferential interactions Perception. 33: 70. DOI: 10.1068/V040529 |
0.697 |
|
| 2004 |
Perrinet L. Finding independent components using spikes: A natural result of hebbian learning in a sparse spike coding scheme Natural Computing. 3: 159-175. DOI: 10.1023/B:NACO.0000027753.27593.a7 |
0.491 |
|
| 2004 |
Perrinet L. Emergence of filters from natural scenes in a sparse spike coding scheme Neurocomputing. 58: 821-826. DOI: 10.1016/j.neucom.2004.01.133 |
0.44 |
|
| 2004 |
Perrinet L, Samuelides M, Thorpe S. Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit Neurocomputing. 57: 125-134. DOI: 10.1016/J.Neucom.2004.01.010 |
0.769 |
|
| 2002 |
Perrinet L, Samuelides M. Coherence detection in a spiking neuron via Hebbian learning Neurocomputing. 44: 133-139. DOI: 10.1016/S0925-2312(02)00374-0 |
0.693 |
|
| 2001 |
Perrinet L, Delorme A, Samuelides M, Thorpe SJ. Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity Neurocomputing. 38: 817-822. DOI: 10.1016/S0925-2312(01)00460-X |
0.801 |
|
| 2001 |
Delorme A, Perrinet L, Thorpe SJ. Networks of integrate-and-fire neurons using Rank Order Coding B: Spike timing dependent plasticity and emergence of orientation selectivity Neurocomputing. 38: 539-545. DOI: 10.1016/S0925-2312(01)00403-9 |
0.725 |
|
| 1970 |
Perrinet L. Decoding spatial information in population of neurons for the ocular following response Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.119 |
0.41 |
|
| 1970 |
Davison A, Muller E, Kremkow J, Perrinet L, Yger P, Schmuker M, Brizzi T, Bruederle D, Eppler M, Pecevski D. NeuralEnsemble.Org: Unifying neural simulators in Python to ease the model complexity bottleneck Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.104 |
0.779 |
|
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