The NMI Lab strives to create computing systems that work more like the brain, by combining the fundamental and the applied. Our long-term research goal is to emulate high-level, cognitive function in dedicated neuromorphic hardware systems.
The DLG starts from the hypothesis that the algorithm of the brain is closely adapted to the architecture of the brain (algorithm follows architecture). By consequence, we take clues from the architecture of the brain to conceive plausible and performant learning algorithms.
The Cognitive Localization and Mapping (CLAM) project combines neuromorphic computing, computational neuroscience and neuroAI with a focus on navigation and memory formation inspired by the brain's navigation system.
