With MAIBRAIN, we will establish an activity combining extensive knowledge of the brain with computational modeling of artificial neural networks (ANN) to develop novel network architectures and perform comparable laboratory and simulation experiments in humans, rodents and machines. This will allow testing performance and comparability and generate novel predictions to drive developments in AI and bring deep insight to brain function. This may change how neuroscience research is conducted and solve current limitations within AI. With the Center for Integrative Neuroplasticity (CINPLA, UiO), we have developed an internationally leading interdisciplinary research activity. We build on established expertise in neuroscience and physics-based computational modeling to solve long standing questions in neuroscience. We are also in lead integrating computational skills into science education. However, to reach our ambition, become an international powerhouse and realize the potential in the coupling between neuroscience and AI research, we need to combine our competence with complementary, world-leading competence currently lacking in Norway. This is provided by carefully selected partners who bring access to: unique hardware and neural recordings, expertise in human cognitive tasks, large-scale network simulations and expertise in statistical tools to compare brain and ANNs. Success requires long-term interdisciplinary investments, a common, ambitious research strategy, and a collective push to educate the workforce of tomorrow in these fields, which can only be achieved through a long-term joint commitment. We must therefore go beyond individual international collaborations and develop long-term strategic partnerships on both research and education to: (i) train students with the combined competences of the partners needed for breakthroughs in AI-neuroscience interactions, and (ii) strengthen our position as an internationally leading research center.
Project leader: Marianne Fyhn
Institution: UNIVERSITETET I OSLO