Objetivo Biological neuronal networks allow humans and animals to build representations of objects, complex scenes, and temporal sequences and to use these representations to plan and execute goal-directed actions, learn new skills, and constantly adapt to changing situations. Neuronal systems have evolved to be extremely powerful in perceiving and acting in complex and dynamic real-world environments. The field of neuromorphic engineering is realising neuronal computation in a new generation of hardware systems, aiming to enable computation with high efficiency and low energy cost, comparable to biological neuronal networks. In order to use this hardware to implement systems that can solve perceptual, motor, and cognitive tasks, cognitive architectures have to be developed, which integrate elementary cognitive processes in a coherent computational framework. The ECogNeT project aims to develop such a computational framework by realising neural-dynamic models of embodied cognition in neuromorphic hardware. In particular, the computational and conceptual framework of Dynamic Neural Fields will be used to create cognitive computational primitives in neuromorphic hardware, which will organise the hardware neurons in attractor-networks, capable to generate discrete, cognitive representations from sensory inputs. The developed neuromorphic cognitive architecture will be integrated with sensors and motors of a robotic agent and its capability to represent environmental situations and temporal sequences of events will be validated in benchmark scenarios, exploiting the potential of this new technology in development of novel, low-power, fast, and smart devices capable to work in real-world settings in order to advance future prosthetic systems, smart environments, and assistive robots. Ámbito científico natural sciencesbiological sciencesneurobiologynatural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesinternetnatural scienceschemical sciencesinorganic chemistrymetalloidsnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Palabras clave Neurally-inspired computing neurorobotics cognitive systems neuromorphic engineering Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Convocatoria de propuestas H2020-MSCA-IF-2015 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinador UNIVERSITAT ZURICH Aportación neta de la UEn € 187 419,60 Dirección RAMISTRASSE 71 8006 Zurich Suiza Ver en el mapa Región Schweiz/Suisse/Svizzera Zürich Zürich Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 187 419,60
