Thiago Schiavo Mosqueiro
Thiago Schiavo Mosqueiro
Applied Scientist, Amazon
Verified email at - Homepage
Cited by
Cited by
NOTCH1 is a mechanosensor in adult arteries
JJ Mack, TS Mosqueiro, BJ Archer, WM Jones, H Sunshine, GC Faas, ...
Nature communications 8 (1), 1-19, 2017
Online decorrelation of humidity and temperature in chemical sensors for continuous monitoring
R Huerta, T Mosqueiro, J Fonollosa, NF Rulkov, I Rodriguez-Lujan
Chemometrics and Intelligent Laboratory Systems 157, 169-176, 2016
Reproducibility of Fluorescent Expression from Engineered Biological Constructs in E. coli
RR Jacob Beal, Traci Haddock-Angelli, Markus Gershater, Kim de Mora, Meagan ...
PloS one 11 (3), e0150182, 2016
Challenges and recommendations to improve the installability and archival stability of omics computational tools
S Mangul, T Mosqueiro, RJ Abdill, D Duong, K Mitchell, V Sarwal, B Hill, ...
PLoS biology 17 (6), e3000333, 2019
Optimal channel efficiency in a sensory network
TS Mosqueiro, LP Maia
Phys. Rev. E 88 (1), 012712, 2013
Individual differences in learning and biogenic amine levels influence the behavioural division between foraging honey bee scouts and recruits
CN Cook, T Mosqueiro, CS Brent, C Ozturk, J Gadau, N Pinter‐Wollman, ...
Journal of Animal Ecology, 2018
Faster cloud star joins with reduced disk spill and network communication
JJ Brito, T Mosqueiro, RR Ciferri, CD de Aguiar Ciferri
Procedia Computer Science 80, 74-85, 2016
Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
T Mosqueiro, L de Lecea, R Huerta
New journal of physics 16 (11), 115010, 2014
Task allocation and site fidelity jointly influence foraging regulation in honeybee colonies
NPW Thiago Mosqueiro, Chelsea Cook, Ramon Huerta, Jürgen Gadau, Brian Smith
Royal Society Open Science 4, 170344, 2017
Computational models to understand decision making and pattern recognition in the insect brain
TS Mosqueiro, R Huerta
Current Opinion in Insect Science, 2014
Non-parametric Change Point Detection for Spike Trains
T Mosqueiro, M Strube-Bloss, R Tuma, R Pinto, BH Smith, R Huerta
Conference on Information Sciences and Systems (CISS) - to appear on IEEE …, 2016
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17 (1), 1-112, 2016
Individual learning phenotypes drive collective behavior
CN Cook, NJ Lemanski, T Mosqueiro, C Ozturk, J Gadau, ...
Proceedings of the National Academy of Sciences 117 (30), 17949-17956, 2020
A simple model for eletrocommunication–“refractoriness avoidance response”?
RT Guariento, TS Mosqueiro, AA Caputi, RD Pinto
BMC Neuroscience 15 (1), 1-2, 2014
Heritable Learning Phenotypes Drive Collective Cognition
CN Cook, NJ Lemanski, T Mosqueiro, J Gadau, C Ozturk, ...
bioRxiv, 761676, 2019
Predicting synchronization of three mutually inhibiting groups of oscillators with strong resetting
JM Amigó, TS Mosqueiro, R Huerta
Applied Mathematics & Information Sciences 9 (5), 2245, 2015
Automated pulse discrimination of two freely-swimming weakly electric fish and analysis of their electrical behavior during dominance contest
RT Guariento, TS Mosqueiro, P Matias, VB Cesarino, LOB Almeida, ...
Journal of Physiology-Paris 110 (3), 216-223, 2016
Random access with a distributed Bitmap Join Index for Star Joins
JJ Brito, T Mosqueiro, RR Ciferri, CDA Ciferri
Heliyon 6 (2), e03342, 2020
Telescope: an interactive tool for managing large-scale analysis from mobile devices
JJ Brito, T Mosqueiro, J Rotman, V Xue, DJ Chapski, JD la Hoz, P Matias, ...
GigaScience 9 (1), giz163, 2020
26th annual computational neuroscience meeting (CNS* 2017): Part 3
AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ...
BMC Neuroscience 18 (1), 1-82, 2017
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