activity
19982017
most citedSynchronous Behavior of Two Coupled Biological Neurons

369 citations · 763 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.PE2017★ 31 cited

Task allocation and site fidelity jointly influence foraging regulation in honey bee colonies

Thiago Mosqueiro, Chelsea Cook, Ramon Huerta +3

Variation in behavior among group members often impacts collective outcomes. Individuals may vary both in the task that they perform and in the persistence with which they perform…

physics.data-an2016★ 124 cited

Online Decorrelation of Humidity and Temperature in Chemical Sensors for Continuous Monitoring

Ramon Huerta, Thiago S. Mosqueiro, Jordi Fonollosa +2

A method for online decorrelation of chemical sensor signals from the effects of environmental humidity and temperature variations is proposed. The goal is to improve the accuracy…

q-bio.NC2016★ 101 cited

Exploiting plume structure to decode gas source distance using metal-oxide gas sensors

Michael Schmuker, Viktor Bahr, Ramón Huerta

Estimating the distance of a gas source is important in many applications of chemical sensing, like e.g. environmental monitoring, or chemically-guided robot navigation. If an esti…

q-bio.MN2014★ 19 cited

Multi-input distributed classifiers for synthetic genetic circuits

Oleg Kanakov, Roman Kotelnikov, Ahmed Alsaedi +4

For practical construction of complex synthetic genetic networks able to perform elaborate functions it is important to have a pool of relatively simple "bio-bricks" with different…

q-bio.MN2014

Distributed classifier based on genetically engineered bacterial cell cultures

Andriy Didovyk, Oleg I. Kanakov, Mikhail V. Ivanchenko +3

We describe a conceptual design of a distributed classifier formed by a population of genetically engineered microbial cells. The central idea is to create a complex classifier fro…

nlin.CG2008

A housing-demographic multi-layered nonlinear model to test regulation strategies

Ramon Huerta, Fernando Corbacho, Luis F. Lago-Fernandez

We propose a novel multi-layered nonlinear model that is able to capture and predict the housing-demographic dynamics of the real-state market by simulating the transitions of owne…