| Year |
Citation |
Score |
| 2023 |
Derome M, Kozuharova P, Diaconescu A, Denève S, Jardri R, Allen P. Functional connectivity and glutamate levels of the medial prefrontal cortex in schizotypy are related to sensory amplification in a probabilistic reasoning task. Neuroimage. 120280. PMID 37460012 DOI: 10.1016/j.neuroimage.2023.120280 |
0.511 |
|
| 2022 |
Leptourgos P, Bouttier V, Denève S, Jardri R. From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosis. Neuroscience and Biobehavioral Reviews. 135: 104593. PMID 35217108 DOI: 10.1016/j.neubiorev.2022.104593 |
0.553 |
|
| 2021 |
Chrysaitis NA, Jardri R, Denève S, Seriès P. No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology. 17: e1009006. PMID 34559803 DOI: 10.1371/journal.pcbi.1009006 |
0.716 |
|
| 2021 |
Zeldenrust F, Gutkin B, Denéve S. Efficient and robust coding in heterogeneous recurrent networks. Plos Computational Biology. 17: e1008673. PMID 33930016 DOI: 10.1371/journal.pcbi.1008673 |
0.655 |
|
| 2021 |
Recanatesi S, Farrell M, Lajoie G, Deneve S, Rigotti M, Shea-Brown E. Predictive learning as a network mechanism for extracting low-dimensional latent space representations. Nature Communications. 12: 1417. PMID 33658520 DOI: 10.1038/s41467-021-21696-1 |
0.638 |
|
| 2021 |
Bouttier V, Duttagupta S, Denève S, Jardri R. Circular inference predicts nonuniform overactivation and dysconnectivity in brain-wide connectomes. Schizophrenia Research. PMID 33618940 DOI: 10.1016/j.schres.2020.12.045 |
0.557 |
|
| 2020 |
Leptourgos P, Bouttier V, Jardri R, Denève S. A functional theory of bistable perception based on dynamical circular inference. Plos Computational Biology. 16: e1008480. PMID 33315961 DOI: 10.1371/journal.pcbi.1008480 |
0.598 |
|
| 2020 |
Leptourgos P, Notredame CE, Eck M, Jardri R, Denève S. Circular inference in bistable perception. Journal of Vision. 20: 12. PMID 32315404 DOI: 10.1167/Jov.20.4.12 |
0.595 |
|
| 2020 |
Brendel W, Bourdoukan R, Vertechi P, Machens CK, Denève S. Learning to represent signals spike by spike. Plos Computational Biology. 16: e1007692. PMID 32176682 DOI: 10.1371/journal.pcbi.1007692 |
0.783 |
|
| 2020 |
Jardri R, Leptourgos P, Bouttier V, Denève S. Circular Inference and Hallucinations Biological Psychiatry. 87: S41-S42. DOI: 10.1016/J.Biopsych.2020.02.131 |
0.514 |
|
| 2019 |
Gutierrez GJ, Denève S. Population adaptation in efficient balanced networks. Elife. 8. PMID 31550233 DOI: 10.7554/eLife.46926 |
0.76 |
|
| 2019 |
Gutierrez GJ, Denève S. Author response: Population adaptation in efficient balanced networks Elife. DOI: 10.7554/Elife.46926.014 |
0.317 |
|
| 2017 |
Jardri R, Denève S. [Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Medecine Sciences : M/S. 33: 933-935. PMID 29200387 DOI: 10.1051/Medsci/20173311006 |
0.525 |
|
| 2017 |
Leptourgos P, Denève S, Jardri R. Can circular inference relate the neuropathological and behavioral aspects of schizophrenia? Current Opinion in Neurobiology. 46: 154-161. PMID 28915387 DOI: 10.1016/J.Conb.2017.08.012 |
0.569 |
|
| 2017 |
Zeldenrust F, de Knecht S, Wadman WJ, Denève S, Gutkin B. Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series. Frontiers in Computational Neuroscience. 11: 49. PMID 28663729 DOI: 10.3389/Fncom.2017.00049 |
0.683 |
|
| 2017 |
Chalk M, Masset P, Gutkin B, Deneve S. Sensory noise predicts divisive reshaping of receptive fields. Plos Computational Biology. 13: e1005582. PMID 28622330 DOI: 10.1371/Journal.Pcbi.1005582 |
0.772 |
|
| 2017 |
Denève S, Alemi A, Bourdoukan R. The Brain as an Efficient and Robust Adaptive Learner. Neuron. 94: 969-977. PMID 28595053 DOI: 10.1016/J.Neuron.2017.05.016 |
0.706 |
|
| 2017 |
Jardri R, Duverne S, Litvinova AS, Denève S. Experimental evidence for circular inference in schizophrenia. Nature Communications. 8: 14218. PMID 28139642 DOI: 10.1038/Ncomms14218 |
0.764 |
|
| 2017 |
Koren V, Denève S. Computational Account of Spontaneous Activity as a Signature of Predictive Coding. Plos Computational Biology. 13: e1005355. PMID 28114353 DOI: 10.1371/journal.pcbi.1005355 |
0.452 |
|
| 2016 |
Barrett DT, Denève S, Machens CK. Optimal compensation for neuron loss. Elife. 5. PMID 27935480 DOI: 10.7554/Elife.12454 |
0.719 |
|
| 2016 |
Yildiz IB, Mesgarani N, Deneve S. Predictive Ensemble Decoding of Acoustical Features Explains Context-Dependent Receptive Fields. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 12338-12350. PMID 27927954 DOI: 10.1523/JNEUROSCI.4648-15.2016 |
0.436 |
|
| 2016 |
Chalk M, Gutkin B, Denève S. Neural oscillations as a signature of efficient coding in the presence of synaptic delays. Elife. 5. PMID 27383272 DOI: 10.7554/Elife.13824 |
0.799 |
|
| 2016 |
Jardri R, Hugdahl K, Hughes M, Brunelin J, Waters F, Alderson-Day B, Smailes D, Sterzer P, Corlett PR, Leptourgos P, Debbané M, Cachia A, Denève S. Are Hallucinations Due to an Imbalance Between Excitatory and Inhibitory Influences on the Brain? Schizophrenia Bulletin. PMID 27261492 DOI: 10.1093/Schbul/Sbw075 |
0.566 |
|
| 2016 |
Deneve S, Chalk M. Efficiency turns the table on neural encoding, decoding and noise. Current Opinion in Neurobiology. 37: 141-148. PMID 27065340 DOI: 10.1016/J.Conb.2016.03.002 |
0.753 |
|
| 2016 |
Denève S, Machens CK. Efficient codes and balanced networks. Nature Neuroscience. 19: 375-82. PMID 26906504 DOI: 10.1038/nn.4243 |
0.735 |
|
| 2016 |
Chalk M, Gutkin B, Denève S. Author response: Neural oscillations as a signature of efficient coding in the presence of synaptic delays Elife. DOI: 10.7554/Elife.13824.015 |
0.754 |
|
| 2016 |
Barrett DG, Denève S, Machens CK. Author response: Optimal compensation for neuron loss Elife. DOI: 10.7554/Elife.12454.017 |
0.746 |
|
| 2016 |
Leptourgos P, Notredame C, Jardri R, Deneve S. Perceptual Inferences in Schizophrenia: A preliminary study in healthy participants Journal of Vision. 16: 1220. DOI: 10.1167/16.12.1220 |
0.529 |
|
| 2016 |
Denève S, Jardri R. Circular inference: mistaken belief, misplaced trust Current Opinion in Behavioral Sciences. 11: 40-48. DOI: 10.1016/J.Cobeha.2016.04.001 |
0.593 |
|
| 2015 |
Schwemmer MA, Fairhall AL, Denéve S, Shea-Brown ET. Constructing Precisely Computing Networks with Biophysical Spiking Neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 10112-34. PMID 26180189 DOI: 10.1523/Jneurosci.4951-14.2015 |
0.706 |
|
| 2015 |
Leptourgos P, Notredame C, Jardri R, Denève S. Perceptual inferences in schizophrenia: A preliminary study on healthy participants European Psychiatry. 30: S113-S114. DOI: 10.1016/J.Eurpsy.2015.09.216 |
0.616 |
|
| 2014 |
Notredame CE, Pins D, Deneve S, Jardri R. What visual illusions teach us about schizophrenia. Frontiers in Integrative Neuroscience. 8: 63. PMID 25161614 DOI: 10.3389/Fnint.2014.00063 |
0.733 |
|
| 2013 |
Jardri R, Denève S. Circular inferences in schizophrenia. Brain : a Journal of Neurology. 136: 3227-41. PMID 24065721 DOI: 10.1093/Brain/Awt257 |
0.616 |
|
| 2013 |
Barrett DG, Denève S, Machens CK. Positive sparse coding of natural images: a theory for simple cell tuning Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P250 |
0.775 |
|
| 2013 |
Zeldenrust F, Gutkin BS, Denève S. Functional interpretation of biophysical properties of spiking neurons Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P104 |
0.684 |
|
| 2013 |
Denève S. Rescuing the spike Bmc Neuroscience. 14: 1-1. DOI: 10.1186/1471-2202-14-S1-A3 |
0.5 |
|
| 2013 |
Jardri R, Denève S. Computational models of hallucinations The Neuroscience of Hallucinations. 289-313. DOI: 10.1007/978-1-4614-4121-2_16 |
0.468 |
|
| 2012 |
Deneve S. Making decisions with unknown sensory reliability. Frontiers in Neuroscience. 6: 75. PMID 22679418 DOI: 10.3389/fnins.2012.00075 |
0.372 |
|
| 2012 |
Lochmann T, Ernst UA, Denève S. Perceptual inference predicts contextual modulations of sensory responses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 4179-95. PMID 22442081 DOI: 10.1523/Jneurosci.0817-11.2012 |
0.803 |
|
| 2012 |
Pouget A, Deneve S, Duhamel JR. A Computational Neural Theory of Multisensory Spatial Representations Crossmodal Space and Crossmodal Attention. DOI: 10.1093/acprof:oso/9780198524861.003.0006 |
0.555 |
|
| 2011 |
Lochmann T, Deneve S. Neural processing as causal inference. Current Opinion in Neurobiology. 21: 774-81. PMID 21742484 DOI: 10.1016/J.Conb.2011.05.018 |
0.805 |
|
| 2011 |
Morel P, Deneve S, Baraduc P. Optimal and suboptimal use of postsaccadic vision in sequences of saccades. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 10039-49. PMID 21734296 DOI: 10.1523/Jneurosci.0492-11.2011 |
0.762 |
|
| 2011 |
Boerlin M, Denève S. Spike-based population coding and working memory. Plos Computational Biology. 7: e1001080. PMID 21379319 DOI: 10.1371/journal.pcbi.1001080 |
0.794 |
|
| 2009 |
Munuera J, Morel P, Duhamel JR, Deneve S. Optimal sensorimotor control in eye movement sequences. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 3026-35. PMID 19279239 DOI: 10.1523/Jneurosci.1169-08.2009 |
0.76 |
|
| 2009 |
Lochmann T, Gutkin B, Denève S. From computation to biophysics: functional theory of adaptive neural excitability Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P98 |
0.805 |
|
| 2009 |
Lochmann T, Denève S. Non-classical receptive field properties reflecting functional aspects of optimal spike based inference Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P97 |
0.753 |
|
| 2008 |
Deneve S. Bayesian spiking neurons II: learning. Neural Computation. 20: 118-45. PMID 18045003 DOI: 10.1162/neco.2008.20.1.118 |
0.449 |
|
| 2008 |
Deneve S. Bayesian spiking neurons I: inference. Neural Computation. 20: 91-117. PMID 18045002 DOI: 10.1162/neco.2008.20.1.91 |
0.469 |
|
| 2008 |
Lochmann T, Denève S. Information transmission with spiking Bayesian neurons New Journal of Physics. 10. DOI: 10.1088/1367-2630/10/5/055019 |
0.804 |
|
| 2007 |
Denève S, Duhamel JR, Pouget A. Optimal sensorimotor integration in recurrent cortical networks: a neural implementation of Kalman filters. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 5744-56. PMID 17522318 DOI: 10.1523/JNEUROSCI.3985-06.2007 |
0.65 |
|
| 2007 |
Ernst U, Denève S, Meinhardt G. Detection of gabor patch arrangements is explained by natural image statistics Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P154 |
0.312 |
|
| 2005 |
Avillac M, Denève S, Olivier E, Pouget A, Duhamel JR. Reference frames for representing visual and tactile locations in parietal cortex. Nature Neuroscience. 8: 941-9. PMID 15951810 DOI: 10.1038/nn1480 |
0.644 |
|
| 2004 |
Deneve S, Pouget A. Bayesian multisensory integration and cross-modal spatial links. Journal of Physiology, Paris. 98: 249-58. PMID 15477036 DOI: 10.1016/j.jphysparis.2004.03.011 |
0.643 |
|
| 2003 |
Latham PE, Deneve S, Pouget A. Optimal computation with attractor networks. Journal of Physiology, Paris. 97: 683-94. PMID 15242674 DOI: 10.1016/j.jphysparis.2004.01.022 |
0.686 |
|
| 2003 |
Deneve S, Pouget A. Basis functions for object-centered representations. Neuron. 37: 347-59. PMID 12546828 DOI: 10.1016/S0896-6273(02)01184-4 |
0.599 |
|
| 2002 |
Pouget A, Deneve S, Duhamel JR. A computational perspective on the neural basis of multisensory spatial representations. Nature Reviews. Neuroscience. 3: 741-7. PMID 12209122 DOI: 10.1038/nrn914 |
0.644 |
|
| 2001 |
Deneve S, Latham PE, Pouget A. Efficient computation and cue integration with noisy population codes. Nature Neuroscience. 4: 826-31. PMID 11477429 DOI: 10.1038/90541 |
0.755 |
|
| 2001 |
Deneve S, Duhamel JR, Pouget A. A new model of spatial representations in multimodal brain areas Advances in Neural Information Processing Systems. |
0.51 |
|
| 1999 |
Pouget A, Deneve S, Sejnowski TJ. Frames of reference in hemineglect: a computational approach. Progress in Brain Research. 121: 81-97. PMID 10551022 DOI: 10.1016/S0079-6123(08)63069-1 |
0.633 |
|
| 1999 |
Deneve S, Latham PE, Pouget A. Reading population codes: a neural implementation of ideal observers. Nature Neuroscience. 2: 740-5. PMID 10412064 DOI: 10.1038/11205 |
0.739 |
|
| 1999 |
Pouget A, Deneve S, Ducom JC, Latham PE. Narrow versus wide tuning curves: What's best for a population code? Neural Computation. 11: 85-90. PMID 9950723 DOI: 10.1162/089976699300016818 |
0.712 |
|
| 1999 |
Deneve S, Pouget A, Latham PE. Divisive normalization, line attractor networks and ideal observers Advances in Neural Information Processing Systems. 104-110. |
0.639 |
|
| 1998 |
Pouget A, Zhang K, Deneve S, Latham PE. Statistically efficient estimation using population coding. Neural Computation. 10: 373-401. PMID 9472487 DOI: 10.1162/089976698300017809 |
0.726 |
|
| 1998 |
Deneve S, Pouget A. Neural basis of object-centered representations Advances in Neural Information Processing Systems. 24-30. |
0.557 |
|
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