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Items: 35

1.

Probabilistic models of individual and collective animal behavior.

Bod'ová K, Mitchell GJ, Harpaz R, Schneidman E, Tkačik G.

PLoS One. 2018 Mar 7;13(3):e0193049. doi: 10.1371/journal.pone.0193049. eCollection 2018.

2.

Discrete modes of social information processing predict individual behavior of fish in a group.

Harpaz R, Tkačik G, Schneidman E.

Proc Natl Acad Sci U S A. 2017 Sep 19;114(38):10149-10154. doi: 10.1073/pnas.1703817114. Epub 2017 Sep 5.

3.

Information socialtaxis and efficient collective behavior emerging in groups of information-seeking agents.

Karpas ED, Shklarsh A, Schneidman E.

Proc Natl Acad Sci U S A. 2017 May 30;114(22):5589-5594. doi: 10.1073/pnas.1618055114. Epub 2017 May 15.

4.

Ucn3 and CRF-R2 in the medial amygdala regulate complex social dynamics.

Shemesh Y, Forkosh O, Mahn M, Anpilov S, Sztainberg Y, Manashirov S, Shlapobersky T, Elliott E, Tabouy L, Ezra G, Adler ES, Ben-Efraim YJ, Gil S, Kuperman Y, Haramati S, Dine J, Eder M, Deussing JM, Schneidman E, Yizhar O, Chen A.

Nat Neurosci. 2016 Nov;19(11):1489-1496. doi: 10.1038/nn.4346. Epub 2016 Jul 18.

PMID:
27428651
5.

Towards the design principles of neural population codes.

Schneidman E.

Curr Opin Neurobiol. 2016 Apr;37:133-140. doi: 10.1016/j.conb.2016.03.001. Epub 2016 Mar 24. Review.

PMID:
27016639
6.

A thesaurus for a neural population code.

Ganmor E, Segev R, Schneidman E.

Elife. 2015 Sep 8;4. doi: 10.7554/eLife.06134.

7.

Correction: High-order social interactions in groups of mice.

Shemesh Y, Sztainberg Y, Forkosh O, Shlapobersky T, Chen A, Schneidman E.

Elife. 2014 Jun 11;3:e03602. doi: 10.7554/eLife.03602. No abstract available.

8.

Adaptation to changes in higher-order stimulus statistics in the salamander retina.

Tkačik G, Ghosh A, Schneidman E, Segev R.

PLoS One. 2014 Jan 21;9(1):e85841. doi: 10.1371/journal.pone.0085841. eCollection 2014.

9.

Searching for collective behavior in a large network of sensory neurons.

Tkačik G, Marre O, Amodei D, Schneidman E, Bialek W, Berry MJ 2nd.

PLoS Comput Biol. 2014 Jan;10(1):e1003408. doi: 10.1371/journal.pcbi.1003408. Epub 2014 Jan 2.

10.

Adaptive colour contrast coding in the salamander retina efficiently matches natural scene statistics.

Vasserman G, Schneidman E, Segev R.

PLoS One. 2013 Oct 30;8(10):e79163. doi: 10.1371/journal.pone.0079163. eCollection 2013.

11.

High-order social interactions in groups of mice.

Shemesh Y, Sztainberg Y, Forkosh O, Shlapobersky T, Chen A, Schneidman E.

Elife. 2013 Sep 3;2:e00759. doi: 10.7554/eLife.00759. Erratum in: Elife. 2014 Jun 11;3:e03602.

12.

Stimulus-dependent maximum entropy models of neural population codes.

Granot-Atedgi E, Tkačik G, Segev R, Schneidman E.

PLoS Comput Biol. 2013;9(3):e1002922. doi: 10.1371/journal.pcbi.1002922. Epub 2013 Mar 14.

13.

Retinal metric: a stimulus distance measure derived from population neural responses.

Tkačik G, Granot-Atedgi E, Segev R, Schneidman E.

Phys Rev Lett. 2013 Feb 1;110(5):058104. Epub 2013 Jan 28.

PMID:
23414051
14.

High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teaching.

Cohen Y, Schneidman E.

Proc Natl Acad Sci U S A. 2013 Jan 8;110(2):684-9. doi: 10.1073/pnas.1211606110. Epub 2012 Dec 26.

15.

Perceptual convergence of multi-component mixtures in olfaction implies an olfactory white.

Weiss T, Snitz K, Yablonka A, Khan RM, Gafsou D, Schneidman E, Sobel N.

Proc Natl Acad Sci U S A. 2012 Dec 4;109(49):19959-64. doi: 10.1073/pnas.1208110109. Epub 2012 Nov 19.

16.

Fast feedback in active sensing: touch-induced changes to whisker-object interaction.

Deutsch D, Pietr M, Knutsen PM, Ahissar E, Schneidman E.

PLoS One. 2012;7(9):e44272. doi: 10.1371/journal.pone.0044272. Epub 2012 Sep 18.

17.

The natural variation of a neural code.

Kfir Y, Renan I, Schneidman E, Segev R.

PLoS One. 2012;7(3):e33149. doi: 10.1371/journal.pone.0033149. Epub 2012 Mar 12.

18.

Synergy from silence in a combinatorial neural code.

Schneidman E, Puchalla JL, Segev R, Harris RA, Bialek W, Berry MJ 2nd.

J Neurosci. 2011 Nov 2;31(44):15732-41. doi: 10.1523/JNEUROSCI.0301-09.2011.

19.

Smart swarms of bacteria-inspired agents with performance adaptable interactions.

Shklarsh A, Ariel G, Schneidman E, Ben-Jacob E.

PLoS Comput Biol. 2011 Sep;7(9):e1002177. doi: 10.1371/journal.pcbi.1002177. Epub 2011 Sep 29.

20.

Neural activity at the human olfactory epithelium reflects olfactory perception.

Lapid H, Shushan S, Plotkin A, Voet H, Roth Y, Hummel T, Schneidman E, Sobel N.

Nat Neurosci. 2011 Sep 25;14(11):1455-61. doi: 10.1038/nn.2926.

PMID:
21946326
21.

Sparse low-order interaction network underlies a highly correlated and learnable neural population code.

Ganmor E, Segev R, Schneidman E.

Proc Natl Acad Sci U S A. 2011 Jun 7;108(23):9679-84. doi: 10.1073/pnas.1019641108. Epub 2011 May 20.

22.

The architecture of functional interaction networks in the retina.

Ganmor E, Segev R, Schneidman E.

J Neurosci. 2011 Feb 23;31(8):3044-54. doi: 10.1523/JNEUROSCI.3682-10.2011.

23.

Optimal population coding by noisy spiking neurons.

Tkacik G, Prentice JS, Balasubramanian V, Schneidman E.

Proc Natl Acad Sci U S A. 2010 Aug 10;107(32):14419-24. doi: 10.1073/pnas.1004906107. Epub 2010 Jul 26.

24.

Global features of neural activity in the olfactory system form a parallel code that predicts olfactory behavior and perception.

Haddad R, Weiss T, Khan R, Nadler B, Mandairon N, Bensafi M, Schneidman E, Sobel N.

J Neurosci. 2010 Jul 7;30(27):9017-26. doi: 10.1523/JNEUROSCI.0398-10.2010.

25.

Odorant concentration dependence in electroolfactograms recorded from the human olfactory epithelium.

Lapid H, Seo HS, Schuster B, Schneidman E, Roth Y, Harel D, Sobel N, Hummel T.

J Neurophysiol. 2009 Oct;102(4):2121-30. doi: 10.1152/jn.91321.2008. Epub 2009 Aug 5. Erratum in: J Neurophysiol. 2009 Dec;102(6):3780.

26.

Role of eye movements in the retinal code for a size discrimination task.

Segev R, Schneidman E, Goodhouse J, Berry MJ 2nd.

J Neurophysiol. 2007 Sep;98(3):1380-91. Epub 2007 Jul 11.

27.

Weak pairwise correlations imply strongly correlated network states in a neural population.

Schneidman E, Berry MJ 2nd, Segev R, Bialek W.

Nature. 2006 Apr 20;440(7087):1007-12. Epub 2006 Apr 9.

28.

Redundancy in the population code of the retina.

Puchalla JL, Schneidman E, Harris RA, Berry MJ.

Neuron. 2005 May 5;46(3):493-504.

29.

Synergy, redundancy, and independence in population codes.

Schneidman E, Bialek W, Berry MJ 2nd.

J Neurosci. 2003 Dec 17;23(37):11539-53.

30.

Network information and connected correlations.

Schneidman E, Still S, Berry MJ 2nd, Bialek W.

Phys Rev Lett. 2003 Dec 5;91(23):238701. Epub 2003 Dec 2.

PMID:
14683220
31.

Axons as computing devices: basic insights gained from models.

Segev I, Schneidman E.

J Physiol Paris. 1999 Sep-Oct;93(4):263-70. Review.

PMID:
10574116
32.

Ion channel stochasticity may be critical in determining the reliability and precision of spike timing.

Schneidman E, Freedman B, Segev I.

Neural Comput. 1998 Oct 1;10(7):1679-703.

PMID:
9744892
33.

Quantitative in vivo retinal thickness measurements in healthy subjects.

Landau D, Schneidman EM, Jacobovitz T, Rozenman Y.

Ophthalmology. 1997 Apr;104(4):639-42.

PMID:
9111256
34.

Two-point rapid palatal expansion: an alternate approach to traditional treatment.

Schneidman E, Wilson S, Erkis R.

Pediatr Dent. 1990 Apr-May;12(2):92-7.

PMID:
2133940
35.

Complete overlay dentures for the pediatric patient: case reports.

Schneidman E, Wilson S, Spuller RL.

Pediatr Dent. 1988 Sep;10(3):222-5. No abstract available.

PMID:
3268809

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