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Laurent Perrinet - Publications

Institution:
CNRS Marseille, Marseille, Provence-Alpes-Côte d'Azur, France
Area:
Visual system, computational neuroscience
Website:
https://laurentperrinet.github.io/
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84 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  0.681
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  0.756
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  0.733
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  0.266
2020 Daucé E, Albiges P, Perrinet LU. A dual foveal-peripheral visual processing model implements efficient saccade selection Journal of Vision. 20: 22. DOI: 10.1167/jov.20.8.22  0.266
2019 Perrinet LU. An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features. Vision (Basel, Switzerland). 3. PMID 31735848 DOI: 10.3390/vision3030047  0.266
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  0.732
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  0.735
2019 Perrinet L. Des illusions aux hallucinations visuelles : une porte sur la perception Revue Neurologique. 175. DOI: 10.1016/J.Neurol.2019.01.031  0.37
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  0.266
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  0.266
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  0.732
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  0.815
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  0.79
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  0.443
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  0.793
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  0.443
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  0.798
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  0.688
2015 Perrinet LU. Sparse Models for Computer Vision Biologically Inspired Computer Vision: Fundamentals and Applications. 319-346. DOI: 10.1002/9783527680863.ch14  0.266
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  0.643
2015 Cristóbal G, Perrinet LU, Keil MS. Introduction Biologically Inspired Computer Vision: Fundamentals and Applications. 1-10. DOI: 10.1002/9783527680863.ch1  0.266
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  0.266
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  0.492
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  0.633
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  0.57
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  0.789
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  0.684
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  0.612
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  0.609
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  0.266
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  0.478
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  0.741
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  0.771
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  0.672
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  0.805
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  0.658
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  0.581
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  0.684
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  0.735
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  0.768
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  0.78
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  0.702
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  0.788
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  0.266
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  0.777
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  0.37
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  0.704
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  0.744
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  0.61
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  0.814
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  0.78
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  0.777
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  0.632
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  0.266
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  0.686
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  0.754
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  0.37
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  0.773
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  0.799
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  0.735
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  0.37
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  0.37
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  0.738
2007 Montagnini A, Mamassian P, Perrinet L, Masson G. Dynamic inference for motion tracking Perception. 36: 0-0. DOI: 10.1068/V070440  0.728
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  0.392
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  0.633
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  0.37
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  0.266
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  0.37
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  0.768
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  0.698
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  0.37
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  0.37
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  0.768
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  0.651
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  0.799
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  0.724
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  0.37
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  0.775
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