Descripción del proyecto
Un «encéfalo» a partir de nanomateriales nuevos con propiedades neuronales innovadoras
El modelo informático más sencillo de una neurona es un interruptor de «encendido y apagado», en el que el «0» representa el estado de reposo y el «1» representa un axón transmitiendo un potencial de acción. Aunque este modelo funciona bastante bien para la electrónica digital convencional y los transistores de silicio, no representa la increíble gama de «estados» naturales de una neurona. Por lo tanto, a la hora de materializar el potencial de un sistema de procesamiento similar al del encéfalo, se necesitan materiales nuevos. El proyecto financiado con fondos europeos MELON estableció un consorcio con expertos de instituciones académicas y una pyme a fin de investigar nuevos materiales con conductividad dependiente de la historia para emular la conectividad neuronal. Además el equipo planea crear los componentes básicos de los circuitos de informáticos emergentes del mañana a través del desarrollo de materiales con lógica trivalente e interconexiones.
Objetivo
To make a machine think like a human we should overcome the tyranny of the deterministic binary logic, inherent to the contemporary electronic circuits. While the realization of this emergent approach has long been suggested as a multi-valued and neuromorphic architecture of the logic units, the problem is that we haven’t discovered a material system that could implement it. Right now, silicon-based transistors can operate as “on” and “off”, so the new materials would have to find to consistently maintain more states and emulate the plasticity and self-organization of neuronal connections. It’s against this background we develop the Consortium within the RISE action “MELON”, involving academic members from EU Member States, France, Netherlands, and Spain, from the partner country, Argentina, and the SME from the associated country, Ukraine, with the objective to develop the innovative materials platform for the realization of the emergent computing circuits. We target three focus areas:
(i) to explore novel memristive oxide-based systems on silicon, with history-dependent conductivity, for emulating the neuronal connections in the brain,
(ii) to use the nano-scale multiferroic materials, hosting the multistable topological states to realize the multi-valued logic, and
(iii) to explore conducting 2D oxide interfaces as both novels 4-points memristive systems and interconnect elements for the computing circuits.
The Consortium combines the complementary expertise spanned from fundamental to applied chemistry and physics and from material science to (industrial or modern) nanotechnologies development with the solid interdisciplinary and intersectoral potential for skills transfer, staff exchange, and young researchers' training.
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MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)Coordinador
80025 Amiens
Francia