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Goals of paper. Create a neural network which simulates story comprehension Determine what parts of the network are damaged to produce schizophrenic behavior. Steps to understanding a story. Identify each word (lexical access) Determine role in sentence of each word Who does what to whom?
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Goals of paper
  • Create a neural network which simulates story comprehension
  • Determine what parts of the network are damaged to produce schizophrenic behavior
  • Steps to understanding a story
  • Identify each word (lexical access)
  • Determine role in sentence of each word
  • Who does what to whom?
  • Relate sentence to the rest of the story
  • Use scripts and schemas to fill in gaps and make inferences
  • Summarize key points of story
  • Two example “stories”I was a doctorI worked in New-YorkI liked my jobI was good doctorTony was a gangsterTony worked in ChicagoTony hated his jobTony was a bad gangsterModel for story comprehensionComparing performance of model to unimpaired humansSymptoms of schizophrenia
  • Disorganized thought processes
  • Attributing acts to others or oneself incorrectly
  • Dysfunctional executive disorder
  • Agent slotting error: Claiming incorrectly that an agent had a role in an event.eg1. The girl gave the old man the flowers is wrong. correct: The old man gave the old man the flowers. eg2. The cop arrested me for speeding.correct: The cop arrested Vince for speeding.Lexical misfire: incorrect words used with different meaning from story.eg. “wispy old man”  “whispering man”Derailment: entire clause of meaning is different from the story.Eg. A girl was sitting on the bus and he noticed her looking at his eyes.Conclusions
  • Computational models can be used to specify what parts of brain network break down during disorders
  • Hyperlearningpredicted schizophrenic behavior the best.
  • Exaggerated backpropagation prediction error signaling leads to over correction, and reduces the separation between stories.
  • Limitations
  • Only part of story memory process simulated
  • The network’s memory is too good! (over 95% accuracy)
  • Cannot simulate unimpaired performance
  • Only simulates some schizophrenic behavior
  • Will it scale up to encode more information?
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