• About

    This is the UPC site for Neurochem project.

    In this site some of the outcome of the project is published and mainteined, such as:

    • NEUROChem scenarios and R scripts for generating synthetic datasets
    • ISO image, bootable through qemu or VirtualBox
    • General data acquisition library for chemical sensors (NeurochemLib) coded in C
    • Documentation for a general data acquisition library for chemical sensors (NeurochemLib)


    Ziyatdinov, A., Marco, S., Chaudry, A., Persaud, K., Caminal, P. and Perera, A. Drift compensation of gas sensor array data by common principal component analysis. Sensors and Actuators B: Chemical. 2010 [ link ]

    Lucas L. López, Vasiliki Vouloutsi, Alex Escuredo Chimeno, Encarni Marcos, Sergi Bermúdez i Badia, Zenon Mathews, Paul F.M.J. Verschure, Andrey Ziyatdinov and Alexandre Perera i Lluna (2011). Moth-Like Chemo-Source Localization and Classification on an Indoor Autonomous Robot, On Biomimetics, Assoc. Prof. Dr. Lilyana D. Pramatarova (Ed.), ISBN: 978-953-307-271-5, InTech.  [ link ]


    The FET11 conference awarded the prize for the best stand in the category “The future of biomimetic machines”. The exhibition stand presented demos from European BIOICT projects, including the biomimetic chemical sensing robot (NEUROChem project).