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ID: 785907

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Meza Valdes, RebecaParticipantBielza Lozoya, Maria ConcepcionInvestigador principalFlores Romero, PilarParticipantMartinez Salles, IvanParticipantRodriguez Sanchez, FernandoParticipantMerchan Perez, AngelParticipantVelasco Martinez, GuillermoParticipantGasset Vazquez, BarbaraParticipantLarraÑaga Mugica, Pedro MariaInvestigador principalBernaola Alvarez, NikolasParticipantToharia Rabasco, PabloInvestigador principalBrito Mendez, Juan PedroParticipantGonzalez Veiga, LauraParticipantálvarez Pérez, Mª Del CarmenParticipantBarbado Amigo, MartaParticipantCano Laiseca, DéboraParticipantDomínguez álvaro, MartaParticipantFernández García, LauraParticipantGarcia Ramirez, Ana IsabelParticipantMarín Horcajada, MiriamParticipantOrtuÑo Silva, TaniaParticipantRegalado Reyes, Maria Del CarmenParticipantSánchez Ponce, DianaParticipantSantuy MuÑoz, AndreaParticipantTapia González, SilviaParticipantTorres Romero, DanielParticipantTurégano López, MartaParticipantValdés Lora, LorenaParticipantRivas Vargas, PilarParticipantMihaljevic, BojanParticipantLeon Serrano, GonzaloInvestigador principalEscribano Iglesias, M. Del CarmenParticipantMartin Ayuso, VicenteInvestigador principalFernaud Espinosa, IsabelParticipantRodriguez Mtnez.de Bartolome, AngelParticipantMuÑoz Cespedes, AlbertoParticipantDurmaz, Taygun BulutParticipantDe Felipe Oroquieta, JavierInvestigador principalCastro Romero, Antonio JavierParticipant

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Human Brain Project Specific Grant Agreement 2

Investigadors/es: VALDÉS LORA, LORENA (Participante); TURÉGANO LÓPEZ, MARTA (Participante); TORRES ROMERO, DANIEL (Participante); Tapia González, Silvia (Participante); SANTUY MUÑOZ, ANDREA (Participante); SÁNCHEZ PONCE, DIANA (Participante); REGALADO REYES, MARIA DEL CARMEN (Participante); ORTUÑO SILVA, TANIA (Participante); MARÍN HORCAJADA, MIRIAM (Participante); GARCIA RAMIREZ, ANA ISABEL (Participante); Fernández García, Laura (Participante); DOMÍNGUEZ ÁLVARO, MARTA (Participante); Cano Laiseca, Débora (Participante); BARBADO AMIGO, MARTA (Participante); Álvarez Pérez, Mª del Carmen (Participante); GONZALEZ VEIGA, LAURA (Participante); BRITO MENDEZ, JUAN PEDRO (Participante); CASTRO ROMERO, ANTONIO JAVIER (Participante); TOHARIA RABASCO, PABLO (Investigador principal (IP)); DE FELIPE OROQUIETA, JAVIER (Investigador principal (IP)); BERNAOLA ALVAREZ, NIKOLAS (Participante); DURMAZ, TAYGUN BULUT (Participante); LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP)); MUÑOZ CESPEDES, ALBERTO (Participante); Gasset Vazquez, Barbara (Participante); RODRIGUEZ MTNEZ.DE BARTOLOME, ANGEL (Participante); Velasco Martinez, Guillermo (Participante); FERNAUD ESPINOSA, ISABEL (Participante); MERCHAN PEREZ, ANGEL (Participante); Martin Ayuso, Vicente (Investigador principal (IP)); RODRIGUEZ SANCHEZ, FERNANDO (Participante); ESCRIBANO IGLESIAS, M. DEL CARMEN (Participante); MARTINEZ SALLES, IVAN (Participante); LEON SERRANO, GONZALO (Investigador principal (IP)); FLORES ROMERO, PILAR (Participante); MIHALJEVIC, BOJAN (Participante); BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP)); RIVAS VARGAS, PILAR (Participante); MEZA VALDES, REBECA (Participante)

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Resum

The Human Brain Project (HBP) is a major European scientific research initiative to improve our understanding of the brain and the role it plays in making us human, and to exploit the opportunities offered by the resulting knowledge. The size and complexity of the brain make this an expensive undertaking, but the costs associated with our current ignorance are rising and the potential gains from better insight into the brain are increasing. Brain-related diseases, many of which are age-related, now represent a major part of the global health burden and there are both ethical and economic imperatives to keep the growing number of older people healthier and more productive. Economic advantage is increasingly linked to artificial intelligence (AI), our ability to create technology to extract, manipulate and harness knowledge. The HBP's comprehension of what makes the human brain so efficient and flexible should help to maintain Europe's competitiveness and innovation potential in this area. The HBP is one of several brain research initiatives and projects around the world, albeit one of the first, but it is unique in a number of ways. Only the HBP has an explicit focus on both neuroscience and computing. It is also the broadest and most integrated brain initiative, and the only one aiming to build a research infrastructure to accelerate brain research. The HBP is a FET Flagship which started under FP7 and continues under H2020 with a succession of Specific Grant Agreements (SGAs) under a Framework Partnership Agreement (FPA). In its FP7 Ramp-Up Phase (2013-16) and subsequent SGA1 funding period (2016-18), the HBP implemented a scientific project of rare ambition, breadth and scale, and forged its diverse constituents into a functioning entity. On the scientific side, it not only identified critical gaps in our understanding of the brain, but also created tools and obtained data to fill many of them. It designed, built and demonstrated six ICT research platforms, supporting neuroinformatics, brain simulation, high-performance analytics and computing, medical informatics, brain-inspired computing and linking of simulated brains to robotic bodies. The results have been made available to the scientific community. The HBP also learnt to address underperformance and conflicts, and opened up the Project via competitive calls and the integration of Partnering Projects. In the upcoming SGA2 funding period (2018-20), the HBP will continue to strengthen global brain research efforts by extending coordination with other brain initiatives and projects. Internally, it will continue its unique inter-disciplinary co-design approach, developing research infrastructure capabilities via use cases built around specific research needs. This approach will underpin its critical scientific work of understanding how to bridge between the different scales of brain organisation, a key prerequisite to understand the principles of brain organisation. It will include gathering data to support detailed modelling, notably of the human hippocampus, as well as structural, functional and connectivity data to improve systemic understanding of the whole brain. The HBP will also investigate brain similarities and differences between individuals and between species. It will model key brain functions, including visual recognition, slow-wave activity, episodic memory and consciousness in rodents and humans, and elaborate their cognitive architectures. In addition, it will develop simplified brain models to support further development of brain-inspired computing. SGA2 will see the individual infrastructure platforms extended and integrated into the HBP Joint Platform (HBP-JP). The JP will make HBP services more robust and improve the user experience, encouraging wider use of its tools. (Most relevant results)

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