MAREY technological platform
Electro-Encephalo-Graphy (EEG) |
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LEAD has acquired, thanks to a grant from the Burgundy Regional Council (Conseil Régional de Bourgogne), a 64-channel Biosemi recording system, along with BESA software to analyse the EEG data that will be collected. (We also will use the Matlab toolbox, EEGLAB, http://sccn.ucsd.edu/eeglab/, for EEG data analysis). EEG equipment allows the recording of the electrical activity of the human cerebral cortex by placing sensors on the scalp. The procedure is completely non-invasive and painless. The EEG signal allows precise temporal resolution in the millisecond range and, for this reason, it is particularly well adapted for time-course and neural studies of cognitive processes that occur in time periods of less than 1 second. |
Eye-tracking |
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Eye-tracking plays a significant role in much of the research carried out at LEAD. |
Near InfraRed Spectroscopy (NIRS) |
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Near InfraRed Spectroscopy is a technique which involves measuring the oxygenation |
Physiological Measures |
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For studies involving emotions or conditioning, LEAD is equipped with a Biopac |
Audio equipment |
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LEAD has a complete facility designed for the study of musical cognition and emotion. |
Optical equipment |
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The laboratory carries out experiments in vision on human participants, and also on neuro-inspired artificial retinas. Articifical retinas enable the study of vision whilst controlling for and measuring physical parameters (such as the precise light source, monochrome or colour, photometric measures, optical-electronic measures, etc). The specifications for the optical experimental set-up is: - Anti vibration table - Motorised turntable for movements in X and Y - Stable light source - LED lighting - Camera optics - Photometric and spectrographic meters For the electronic workshop - Oscilloscope 500 MHz, 4 analogue channels and et 16 logical channels - Signal generator 100 MHz - Counter 2 x 300MHz - Table multi-meter |
NAO Robots |
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Our research work on neuro-inspired systems has the aim of proposing neural models models which mimic the function of the brain in cognitive tasks. Our neural models are developed in ways which mean they can be embedded into autonomous systems and interactive robots. For example, with our neuro-inspired systems we can control robots through hand gestures or through the recognition of human facial expressions. |