M and M

Project Details


One of the innovations of the current project is to identify simple empirical phenomena that will serve a critical test-bed for both symbolic and non-symbolic neural networks. In order to make substantial progress on this issue a series of empirical and computational investigations are organised as follows. First, studies focus on tasks that, according to proponents of symbolic systems, require symbols for the sake of generalisation. Accordingly, if non-symbolic networks succeed, it would undermine one of the main motivations for symbolic systems. Second, studies focus on generalisation in tasks in which human performance is well characterised. Accordingly, the research will provide important constraints for theories of cognition across a range of domains, including vision, memory, and reasoning. Third, studies develop new learning algorithms designed to make symbolic systems biologically plausible.
Alternative titleGeneralization in Mind and Machine
Effective start/end date1/09/1731/08/22

Structured keywords

  • Brain Imaging
  • Cognitive Neuroscience
  • Language
  • Brain and Behaviour
  • Cognitive Science
  • Visual Perception


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