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Showing 1–3 of 3 results
Advanced filters: Author: Noa Sadeh Clear advanced filters

  • Neuronal tuning is typically measured in response to a priori defined behavioural variables of interest. Here, the authors use an unsupervised learning approach to recover neuronal tuning with respect to the recorded network activity and show that this can reveal the relevant behavioural variables.

    • Alon Rubin
    • Liron Sheintuch
    • Yaniv Ziv
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-14

  • Trial and error learning requires the brain to generate expectations and match them to outcomes, yet whether this occurs for semantic learning is unclear. Here, authors show that the brain encodes the degree to which new factual information violates expectations, which in turn determines whether information is encoded in long-term memory.

    • Alex Pine
    • Noa Sadeh
    • Avi Mendelsohn
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-14