Semantic networks and spreading activation | Processing the Environment | MCAT | Khan Academy

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Learn about how knowledge is organized in the mind. Created by Carole Yue.

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the concept of Class in Object Oriented Programming comes always to my mind when i see this

DerrickRoccka

I must say this is very well explained, thank you for putting up this video, it's helping me to study better👍

pilateswithpooja

This is what has running through my mind before I dream of something. I think of a cat, fluffy, comfort, a luxury sofa and the list goes on until it hooked to an idea, then I'll dream of it.

hanafihikari

Information in LTM is organized and associated with other info in LTM and it's organized in a hierarchal structure with overlapping networks of concepts connected by meaningful links. Each concept or NODE is linked with other nodes, so activating one node will activate another. When retrieving information from LTM, we begin by searching for a region of memory and tracing it back to other areas that are related. The shorter the links between nodes means the association is stronger, and stronger associations mean faster activation (retrieval) of information. The modified semantic network theory explains spread activation - activation of one node increases the likelihood of other nodes being activated. Again, the shorter the links, the stronger the associations and the faster the activation and retrieval. Longer links take longer to be retrieved.

nileytrueluv

It's a nice concept and explanation, but you missed two very important points: 1) What you drew as single points is misleading; bird, fish, canary, etc. are not points, but complex semantic networks themselves (conceptual prototypes with central and peripheral members, with central and peripheral attributes (Rosch, Labov, etc.)); and 2) precisely because of this latter, there is much overlapping between different categories; reticular models of connectionism are closer to whatever is going on in our brains (truth be told and to be fair, nobody knows how exactly this system truly works).

I love your channel; I am watching lots of videos from this channel, and I am learning a lot, but you should read a few papers from Lawrence Barsalou on Distributed Networks of Representation; you could improve these videos by a lot if you update your bibliography on the subject.

Thank you so much for spreading knowledge and science. You guys rule. Thumbs up!

sergiosanchezpadilla