Tiberiu Tesileanu
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Explore the profile of Tiberiu Tesileanu including associated specialties, affiliations and a list of published articles.
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9
Citations
495
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Recent Articles
1.
Tesileanu T, Piasini E, Balasubramanian V
Front Cell Neurosci
. 2022 Dec;
16:1006703.
PMID: 36545653
Neural circuits in the periphery of the visual, auditory, and olfactory systems are believed to use limited resources efficiently to represent sensory information by adapting to the statistical structure of...
2.
Tesileanu T, Golkar S, Nasiri S, Sengupta A, Chklovskii D
Neural Comput
. 2022 Jan;
34(4):891-938.
PMID: 35026035
The brain must extract behaviorally relevant latent variables from the signals streamed by the sensory organs. Such latent variables are often encoded in the dynamics that generated the signal rather...
3.
Tesileanu T, Conte M, Briguglio J, Hermundstad A, Victor J, Balasubramanian V
Elife
. 2020 Aug;
9.
PMID: 32744505
Previously, in Hermundstad et al., 2014, we showed that when sampling is limiting, the efficient coding principle leads to a 'variance is salience' hypothesis, and that this hypothesis accounts for...
4.
Tesileanu T, Cocco S, Monasson R, Balasubramanian V
Elife
. 2019 Feb;
8.
PMID: 30806351
Olfactory receptor usage is highly heterogeneous, with some receptor types being orders of magnitude more abundant than others. We propose an explanation for this striking fact: the receptor distribution is...
5.
Bradde S, Vucelja M, Tesileanu T, Balasubramanian V
PLoS Comput Biol
. 2017 Apr;
13(4):e1005486.
PMID: 28414716
The CRISPR (clustered regularly interspaced short palindromic repeats) mechanism allows bacteria to adaptively defend against phages by acquiring short genomic sequences (spacers) that target specific sequences in the viral genome....
6.
Tesileanu T, Olveczky B, Balasubramanian V
Elife
. 2017 Apr;
6.
PMID: 28374674
Trial-and-error learning requires evaluating variable actions and reinforcing successful variants. In songbirds, vocal exploration is induced by LMAN, the output of a basal ganglia-related circuit that also contributes a corrective...
7.
Tesileanu T, Colwell L, Leibler S
PLoS Comput Biol
. 2015 Feb;
11(2):e1004091.
PMID: 25723535
Statistical coupling analysis (SCA) is a method for analyzing multiple sequence alignments that was used to identify groups of coevolving residues termed "sectors". The method applies spectral analysis to a...
8.
Melnikov A, Murugan A, Zhang X, Tesileanu T, Wang L, Rogov P, et al.
Nat Biotechnol
. 2012 Feb;
30(3):271-7.
PMID: 22371084
Learning to read and write the transcriptional regulatory code is of central importance to progress in genetic analysis and engineering. Here we describe a massively parallel reporter assay (MPRA) that...
9.
Gubser S, Herzog C, Pufu S, Tesileanu T
Phys Rev Lett
. 2009 Nov;
103(14):141601.
PMID: 19905558
We establish that in a large class of strongly coupled (3+1)-dimensional N=1 quiver conformal field theories with gravity duals, adding a chemical potential for the R charge leads to the...