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It is widely accepted that synaptic plasticity constitutes the cellular correlate of learning. Yet, synaptic plasticity alone is insufficient to fully account for learning. Other mechanisms, such as
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is insufficient to fully account for learning. Other mechanisms, such as intrinsic plasticity of membrane excitability, have been shown to be necessary for memory formation. Still, it remains unclear
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that synaptic plasticity constitutes the cellular correlate of learning. Yet, synaptic plasticity alone is insufficient to fully account for learning. Other mechanisms, such as intrinsic plasticity of membrane
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cognitive impairments and dementia through advanced data analysis and interpretation. Your key responsibilities: • Conduct MRI scans and neuropsychological assessments with memory clinic patients. • Perform
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Memory Control (LMC) research group at the BCBL , Donostia-San Sebastián, Spain. The successful candidate will conduct research in the THALNET project, which aims to comprehensively characterize
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with both the CNRS and UGA, organized into five research teams conducting work in cognitive science (Body and Space, Development and Learning, Language, Consciousness, Memory & Metacognition, Vision
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to study how exploratory behavior impacts perception! And design multisensory EXPLORA kits with your team to show the world what light and materials can do. Job description Two PhD projects (nrs 10 and 13
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Become an EXPLORA-er to study how exploratory behavior impacts perception! And design multisensory EXPLORA kits with your team to show the world what light and materials can do. Job description Two
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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
closed loop , by feeding back the decisions into the processes when their criticality allows such unsupervised behavior. Conventional machine learning models suffer from significant limitations in both