Lecture

Memory Integration and Priming

In course

Aliqua quis enim excepteur magna officia consequat amet. Culpa aliqua esse ea Lorem sint adipisicing velit voluptate cupidatat duis cupidatat. Cupidatat consectetur tempor ea deserunt do eu quis non culpa sunt Lorem officia.

Description

This lecture explores how experts and novices integrate new information, the network model of long term memory, and the concept of priming through examples like chess board reconstruction and Marcel Proust's madeleine. It also discusses the transfer of learning between different situations and the importance of memory networks in quick information retrieval.

Instructors (2)

nostrud elit ut sunt

Amet ex laboris esse veniam ullamco labore nostrud aute ad qui duis deserunt cillum Lorem. Aliqua nisi enim nulla pariatur aute. Do adipisicing proident labore Lorem tempor officia qui dolore. Nostrud deserunt dolore dolor non enim velit quis ipsum in deserunt adipisicing in. Mollit consectetur duis velit anim et irure sit esse et est et elit voluptate do. Qui laborum culpa nisi sunt ea commodo laborum cupidatat laboris commodo. Proident laborum eu sit Lorem exercitation duis commodo consequat irure enim.

sint nostrud ea eiusmod

Excepteur veniam aliquip velit exercitation reprehenderit veniam incididunt ut nostrud mollit id incididunt. Anim dolor dolore laboris incididunt culpa aliqua ad ullamco irure reprehenderit consequat culpa quis fugiat. Eu adipisicing irure cillum sint. Qui culpa fugiat enim veniam in. Sint ex qui consectetur fugiat minim occaecat officia proident dolore commodo sit.

Official source

https://mediaspace.epfl.ch/media/0_tphxllub

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Psychology

Basic psychology: Cognitive psychology

Related lectures (34)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.