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document
Modeling hippocampal and neocortical contributions to recognition memory : a complementary-learning-systems approach . The authors present a computational neural-network model of how the hippocampus and medial temporal lobe cortex ( MTLC ) contribute to recognition memory . The hippocampal component contributes by recalling studied details . The MTLC component can not support recall , but one can extract a scalar familiarity signal from MTLC that tracks how well a test item matches studied items . The authors present simulations that establish key differences in the operating characteristics of the hippocampal-recall and MTLC-familiarity signals and identify several manipulations ( e.g. , target-lure similarity , interference ) that differentially affect the 2 signals . They also use the model to address the stochastic relationship between recall and familiarity and the effects of partial versus complete hippocampal lesions on recognition .
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Intervention_Pharmacological
hippocampal and neocortical
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Intervention_Pharmacological
hippocampal
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Intervention_Physical
simulations
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Outcome_Mental
recognition
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Outcome_Mental
recognition memory .
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Outcome_Mental
hippocampal-recall
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Outcome_Mental
MTLC-familiarity signals
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Outcome_Mental
recognition
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Participant_Condition
hippocampal and neocortical contributions
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Participant_Condition
recognition memory