The Remarkable Learning Abilities of the Human Brain

0:25 - Main Talk - Greg Ashby

Humans have multiple learning systems that for the most part are functionally and anatomically distinct, evolved at different times for different purposes, and that learn in qualitatively different ways. Greg Ashby studies how people learn new categories of objects. This research has allowed the mapping the neural networks and has identified many important and surprising differences in how we learn. Recorded on 07/10/2017. Series: "GRIT Talks" [Show ID: 32755]

[alaahussein]

very amazing lecture . one of amazing story that i had read was : a philosophy or a monk, ask his student : are you love your country? . the student said : yes of course . the philosophy said : have learned how to love it ? the student said :no . then the philosophy said : you don't love it . i think that there are one kind of learning .. an executive learning . reasoning, understanding, could be imagination, future, responses but it need the power of old part of brain to execution than to be learned .

[smoosq]

wow, thank you for uploading this amazing lecture, the video that this professor showed at the end is just mind blowing

[muskduh]

Just wanted to say thanks for the video presentation!

[biiianciii]

What makes riding a bike an automatic behaviour and walking not?

[valsopuseight]

The audio engineer was trained using information integration.

[fuzzy-life]

"few seconds delay and the feedback should have no effect on performance... [but] eliminates all learning in information integration condition " @17:40 !

[MrGarry]

11:54 Here he says that pidgeons would have to wait when they were wrong. This means, that in both conditions they would be using "their explicit reasoning system" to learn, because as we learn from the results at 17:52, in the "information integration condition" even humans don't learn the complicated pattern when having to wait. This latter fact might be, not because of an evolutionary older system being at work, but because the more complicated task just requires more immediate feedback in order to learn. Therefore the pidgeon-study does not disprove the claim, that "the difference in performance is not in the learners head, [but] actually in the category structures", as stated at 10:03 . It's a great talk nonetheless.

[michaelmann]

Learning is better than being lied to and being beaten into submission so I try to learn

[ablebody]

this is who I learned from he is not that bad of a teacher excellent. Learning can be easy.

[ablebody]

Elearning and university online and the birth of the internet was great . to integrate at schools of international institutes of knowledge could be easier

[christaran]

Great lecture, but the person in charge of audio needs to be fired and find a new line of work.

[paxdriver]

At 17 mins you mention trace amounts of some sort of bio chemical indicator of a trigger to learn via dopamine in the synapse.

What would I type into google to learn more about that? You said you had links for those interested.

[BackfromChina]

how the task being boring effects the results....

[andyed]

It is obvious that not all brains have the same connections. Some can learn and some can not . Switch’s are either off or on . Some have not been connected during cycle of growth of the embryo. Dna is the key . . . to how you end up . . .

[christopherdiedrich]

Who keeps messin' with the PA ? LOL

[anialiandr]

pigeons are ancestors of dinosauruses?

[michaelmann]

Come and be ants with me my children calculate the incalculable

[nurbolatkhuan]

baaa baba ba..real human makes 2 gramm