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Best matches for Denéve S[au]:

Efficient codes and balanced networks. Denève S et al. Nat Neurosci. (2016)

The Brain as an Efficient and Robust Adaptive Learner. Denève S et al. Neuron. (2017)

[Jumping-to-conclusions in schizophrenia is mediated by circular inference]. Jardri R et al. Med Sci (Paris). (2017)

Search results

Items: 40

1.

Population adaptation in efficient balanced networks.

Gutierrez GJ, Denève S.

Elife. 2019 Sep 24;8. pii: e46926. doi: 10.7554/eLife.46926.

2.

[Jumping-to-conclusions in schizophrenia is mediated by circular inference].

Jardri R, Denève S.

Med Sci (Paris). 2017 Nov;33(11):933-935. doi: 10.1051/medsci/20173311006. Epub 2017 Dec 4. French. No abstract available.

3.

Can circular inference relate the neuropathological and behavioral aspects of schizophrenia?

Leptourgos P, Denève S, Jardri R.

Curr Opin Neurobiol. 2017 Oct;46:154-161. doi: 10.1016/j.conb.2017.08.012. Epub 2017 Sep 12. Review.

PMID:
28915387
4.

Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series.

Zeldenrust F, de Knecht S, Wadman WJ, Denève S, Gutkin B.

Front Comput Neurosci. 2017 Jun 15;11:49. doi: 10.3389/fncom.2017.00049. eCollection 2017.

5.

Sensory noise predicts divisive reshaping of receptive fields.

Chalk M, Masset P, Deneve S, Gutkin B.

PLoS Comput Biol. 2017 Jun 16;13(6):e1005582. doi: 10.1371/journal.pcbi.1005582. eCollection 2017 Jun.

6.

The Brain as an Efficient and Robust Adaptive Learner.

Denève S, Alemi A, Bourdoukan R.

Neuron. 2017 Jun 7;94(5):969-977. doi: 10.1016/j.neuron.2017.05.016. Review.

7.

Experimental evidence for circular inference in schizophrenia.

Jardri R, Duverne S, Litvinova AS, Denève S.

Nat Commun. 2017 Jan 31;8:14218. doi: 10.1038/ncomms14218.

8.

Computational Account of Spontaneous Activity as a Signature of Predictive Coding.

Koren V, Denève S.

PLoS Comput Biol. 2017 Jan 23;13(1):e1005355. doi: 10.1371/journal.pcbi.1005355. eCollection 2017 Jan.

9.

Optimal compensation for neuron loss.

Barrett DG, Denève S, Machens CK.

Elife. 2016 Dec 9;5. pii: e12454. doi: 10.7554/eLife.12454.

10.

Predictive Ensemble Decoding of Acoustical Features Explains Context-Dependent Receptive Fields.

Yildiz IB, Mesgarani N, Deneve S.

J Neurosci. 2016 Dec 7;36(49):12338-12350.

11.

Neural oscillations as a signature of efficient coding in the presence of synaptic delays.

Chalk M, Gutkin B, Denève S.

Elife. 2016 Jul 7;5. pii: e13824. doi: 10.7554/eLife.13824.

12.

Are Hallucinations Due to an Imbalance Between Excitatory and Inhibitory Influences on the Brain?

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.

Schizophr Bull. 2016 Sep;42(5):1124-34. doi: 10.1093/schbul/sbw075. Epub 2016 Jun 3. Review.

13.

Efficiency turns the table on neural encoding, decoding and noise.

Deneve S, Chalk M.

Curr Opin Neurobiol. 2016 Apr;37:141-148. doi: 10.1016/j.conb.2016.03.002. Epub 2016 Apr 8. Review.

PMID:
27065340
14.

Efficient codes and balanced networks.

Denève S, Machens CK.

Nat Neurosci. 2016 Mar;19(3):375-82. doi: 10.1038/nn.4243. Review.

PMID:
26906504
15.

Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

Schwemmer MA, Fairhall AL, Denéve S, Shea-Brown ET.

J Neurosci. 2015 Jul 15;35(28):10112-34. doi: 10.1523/JNEUROSCI.4951-14.2015.

16.

What visual illusions teach us about schizophrenia.

Notredame CE, Pins D, Deneve S, Jardri R.

Front Integr Neurosci. 2014 Aug 12;8:63. doi: 10.3389/fnint.2014.00063. eCollection 2014. Review.

17.

Predictive coding of dynamical variables in balanced spiking networks.

Boerlin M, Machens CK, Denève S.

PLoS Comput Biol. 2013;9(11):e1003258. doi: 10.1371/journal.pcbi.1003258. Epub 2013 Nov 14.

18.

Circular inferences in schizophrenia.

Jardri R, Denève S.

Brain. 2013 Nov;136(Pt 11):3227-41. doi: 10.1093/brain/awt257. Epub 2013 Sep 24. Erratum in: Brain. 2014 May;137(Pt 5):e278.

PMID:
24065721
19.

Making decisions with unknown sensory reliability.

Deneve S.

Front Neurosci. 2012 Jun 5;6:75. doi: 10.3389/fnins.2012.00075. eCollection 2012.

20.

Perceptual inference predicts contextual modulations of sensory responses.

Lochmann T, Ernst UA, Denève S.

J Neurosci. 2012 Mar 21;32(12):4179-95. doi: 10.1523/JNEUROSCI.0817-11.2012.

21.

Neural processing as causal inference.

Lochmann T, Deneve S.

Curr Opin Neurobiol. 2011 Oct;21(5):774-81. doi: 10.1016/j.conb.2011.05.018. Review.

PMID:
21742484
22.

Optimal and suboptimal use of postsaccadic vision in sequences of saccades.

Morel P, Deneve S, Baraduc P.

J Neurosci. 2011 Jul 6;31(27):10039-49. doi: 10.1523/JNEUROSCI.0492-11.2011.

23.

Spike-based population coding and working memory.

Boerlin M, Denève S.

PLoS Comput Biol. 2011 Feb;7(2):e1001080. doi: 10.1371/journal.pcbi.1001080. Epub 2011 Feb 17.

24.

Focused visual attention distorts distance perception away from the attentional locus.

Wardak C, Denève S, Ben Hamed S.

Neuropsychologia. 2011 Feb;49(3):535-45. doi: 10.1016/j.neuropsychologia.2010.12.008. Epub 2010 Dec 13.

PMID:
21147135
25.

Optimal sensorimotor control in eye movement sequences.

Munuera J, Morel P, Duhamel JR, Deneve S.

J Neurosci. 2009 Mar 11;29(10):3026-35. doi: 10.1523/JNEUROSCI.1169-08.2009.

26.

Online learning with hidden markov models.

Mongillo G, Deneve S.

Neural Comput. 2008 Jul;20(7):1706-16. doi: 10.1162/neco.2008.10-06-351.

PMID:
18254694
27.

Bayesian spiking neurons II: learning.

Deneve S.

Neural Comput. 2008 Jan;20(1):118-45.

PMID:
18045003
28.

Bayesian spiking neurons I: inference.

Deneve S.

Neural Comput. 2008 Jan;20(1):91-117.

PMID:
18045002
29.
30.

Evidence that cochlear-implanted deaf patients are better multisensory integrators.

Rouger J, Lagleyre S, Fraysse B, Deneve S, Deguine O, Barone P.

Proc Natl Acad Sci U S A. 2007 Apr 24;104(17):7295-300. Epub 2007 Apr 2.

31.

Reference frames for representing visual and tactile locations in parietal cortex.

Avillac M, Denève S, Olivier E, Pouget A, Duhamel JR.

Nat Neurosci. 2005 Jul;8(7):941-9.

PMID:
15951810
32.

Bayesian multisensory integration and cross-modal spatial links.

Deneve S, Pouget A.

J Physiol Paris. 2004 Jan-Jun;98(1-3):249-58. Review.

PMID:
15477036
33.

Optimal computation with attractor networks.

Latham PE, Deneve S, Pouget A.

J Physiol Paris. 2003 Jul-Nov;97(4-6):683-94.

PMID:
15242674
34.

Basis functions for object-centered representations.

Deneve S, Pouget A.

Neuron. 2003 Jan 23;37(2):347-59.

35.

A computational perspective on the neural basis of multisensory spatial representations.

Pouget A, Deneve S, Duhamel JR.

Nat Rev Neurosci. 2002 Sep;3(9):741-7. Review.

PMID:
12209122
36.

Efficient computation and cue integration with noisy population codes.

Deneve S, Latham PE, Pouget A.

Nat Neurosci. 2001 Aug;4(8):826-31.

PMID:
11477429
37.

Frames of reference in hemineglect: a computational approach.

Pouget A, Deneve S, Sejnowski TJ.

Prog Brain Res. 1999;121:81-97. Review. No abstract available.

PMID:
10551022
38.

Reading population codes: a neural implementation of ideal observers.

Deneve S, Latham PE, Pouget A.

Nat Neurosci. 1999 Aug;2(8):740-5.

PMID:
10412064
39.

Narrow versus wide tuning curves: What's best for a population code?

Pouget A, Deneve S, Ducom JC, Latham PE.

Neural Comput. 1999 Jan 1;11(1):85-90.

PMID:
9950723
40.

Statistically efficient estimation using population coding.

Pouget A, Zhang K, Deneve S, Latham PE.

Neural Comput. 1998 Feb 15;10(2):373-401. Review.

PMID:
9472487

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