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. For example, Individual-Based Models (IBMs) can reproduce complex emergent behaviours of many species systems as a consequence of the interactions between the individual species (agents). Currently
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and IBM, combining expertise from experimental physics and materials sciences, artificial intelligence, computational and high performance computing, and computer hardware and software engineering
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landscape is shifting. Notable innovations like IBM's TrueNorth chip, which mirrors neural networks, are emerging. Alongside these digital solutions, there's a burgeoning interest in exploring analog, hybrid
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computational requirements of online learning tasks in SNNs. In response to these challenges, the research landscape is shifting. Notable innovations like IBM's TrueNorth chip, which mirrors neural networks
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Gutenberg University (JGU) Mainz, the Donders Institute for Brain, Cognition and Behaviour in Nijmegen, Fontys University of Applied Science in Eindhoven, SURF and IBM, combining expertise from experimental
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involving collaborations with the Donders Institute, SURF and IBM, publish results in leading journals and have the chance to participate in national and international schools and conferences. Requirements
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computational requirements of online learning tasks in SNNs. In response to these challenges, the research landscape is shifting. Notable innovations like IBM's TrueNorth chip, which mirrors neural networks
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models to predict experimental outcomes have the potential to speed up our knowledge and reduce the costs of development. For example, Individual-Based Models (IBMs) can reproduce complex emergent