Cognitive Neuroscience of Object Recognition
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- Опубліковано 21 вер 2024
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This is the sixth lecture in the Cognitive Neuroscience course. Our perceptual reality is a building process. Our brain sees no light, hears no sound, smells, tastes and touches nothing. All it has to work with are patterns of chemical and electrical signals. Early processing regions receive somewhat raw and simple information from the senses and these signals are then combined and associated with one another as information flows to the brain to create the coherent and flexible mental representations that we have of objects in space.
This video has been edited to remove personal information, class specific information and questions from students (I don't have permission to include them in the video).
Thank you so much, great lecture!
You're very welcome!
This was excellent, thank you!
You're welcome! I'm really glad that you enjoyed it 🙏
Regarding the final slide: I'm not sure if I'm fully understanding the difference between association of features and 'analysis by parts'. Are we saying that because one does not typically recognize a face in discrete steps (Recognizing a nose, then a face), but one does recognize a sentence first as individual words and then as a sentence, that this invokes notably different perception processes?
I think you're very much on to something that many neuroscientists are still trying really hard to understand. There's a lot of evidence from sound perception that there's a hierarchical processing that happens with understanding language. Tones and frequencies in one region, words in another, sentences in another and narrative and paragraph meaning in another. With face perception, there is a degree of this as activity moves through V1 to higher order areas but then there comes a place where its more about the overall holistic pattern that gives us the full perception. I can see how those sound very similar and they are to a certain extent but I think there's a lot of work still to be done that looks at how the pieces of a face are assembled like a narrative is.
@@thecellularrepublic9844 Got it - here's my understanding of the slide now: Some processes (ex: language understanding) appear to have much more hierarchical processes than others (such as facial recognition)... Object recognition falls somewhere more central on that continuum.
Thanks for the reply and the lectures!
Thanks a lot. I really enjoyed that
I'm glad you liked it! Hopefully I'll get out some more content soon.
It was amazing! Thank you
Glad you enjoyed the material! I'll hopefully be putting some new content out this year.
@@thecellularrepublic9844 such a great news!