Machine learning techniques and the existence of variant processes in humans declarative memory

Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This work uses supervised machine learning methods over fMRI brain scans to establish the existence of two different encoding procedures for human declarative memory. Declarative knowledge refers to the memory for facts and events and initially depends on the hippocampus. Recent studies which used patients with hippocampal lesions and neuroimaging data, suggested the existence of an alternative process to form declarative memories. This process is triggered by learning mechanism called "Fast Mapping (FM)", as opposed to the 'standard' "Explicit Encoding (EE)" learning procedure. The present work gives a clear biomarker on the existence of two distinct encoding procedures as we can accurately predict which of the processes is being used directly from voxel activity in fMRI scans. The scans are taken during retrieval of information wherein the tasks are identical regardless of which procedure was used for acquisition and by that reflect conclusive prediction. This is an identification of a more subtle cognitive task than direct perceptual cognitive tasks as it requires some encoding and processing in the brain.

Original languageEnglish
Title of host publicationNCTA
EditorsAgostinho Rosa, Juan Julian Merelo, Antonio Dourado, Jose M. Cadenas, Kurosh Madani, Antonio Ruano, Joaquim Filipe, Joaquim Filipe
Number of pages8
ISBN (Electronic)9789897581571
StatePublished - 2015
Event7th International Joint Conference on Computational Intelligence, IJCCI 2015 - Lisbon, Portugal
Duration: 12 Nov 201514 Nov 2015

Publication series

NameIJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence


Conference7th International Joint Conference on Computational Intelligence, IJCCI 2015

Bibliographical note

Publisher Copyright:
Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda.


  • Classification
  • Declarative Memory
  • Feature Selection
  • Functional Magnetic Resonance Imaging (fMRI)
  • Information Biomarkers
  • Machine Learning
  • Radial Basis Function Kernel
  • Support Vector Machines

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics


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