A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training-Reference-Cited by-同舟云学术

A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training

Published:2021-11 Issue: Volume:143 Page:628-637
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Kazanovich Yakov,Borisyuk Roman^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference45 articles.

1. Sparing of the familiarity component of recognition memory in a patient with hippocampal pathology;Aggleton;Neuropsychologia,2005

2. Modeling brain function;Amit,1989

3. Computational models can replicate the capacity of human recognition memory;Androulidakis;Network. Computation in Neural Systems,2008

4. An integrative memory model of recollection and familiarity to understand memory deficits;Bastin;Behavioral and Brain Sciences,2019

5. Recognition memory for concrete, regular abstract, and diverse abstract pictures;Bellhouse-King;Perceptual and Motor Skills,2007

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