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As the Marr intro chapter explains so beautifully, there are many levels of analysis in cognitive science and cognitive neuroscience. Units in deep nets are ver
by nancykanwisher 8y ago
As the Marr intro chapter explains so beautifully, there are many levels of analysis in cognitive science and cognitive neuroscience. Units in deep nets are very different from actual neurons, and the backprop methods used to train deep nets have no resemblance to how human brains get wired up. But for the case of object recognition at the level of representation, there are striking similarities between deep nets optimized for invariant object recognition, and parts of the primate brain that carry out this task. See this brilliant and seminal paper:
http://www.pnas.org/content/111/23/8619.long http://www.pnas.org/content/111/23/8619.long
- ghaff 8y agoThanks! I look forward to diving into this.
- manoj_venkat92 8y agoI work with neural networks for complex scene processing and object detection on the roads. Best of part of my job is watching a network "learn/train itself" to classify various object categories. Are there any good theories on what happens during the training process of the brain (for example, while learning a new skill or something very basic/simple) and how individual neurons get affected by this "learning" process? So, I understand from a psychological perspective, we see the brain as this beautiful system but I am asking from physiological perspective. What kind of changes can we observe in neurons when we learn something new? P.S: Thanks a lot for your replies. Means a lot. :)
- nancykanwisher 8y agoHere is one cool example: https://www.sciencedirect.com/science/article/pii/S0896627310006392 https://www.sciencedirect.com/science/article/pii/S089662731... And this one I have not read but is by reputable people in a good journal and looks fun: https://www.sciencedirect.com/science/article/pii/S0896627315005590 https://www.sciencedirect.com/science/article/pii/S089662731...
- manoj_venkat92 8y agoThanks, both of them look really relevant. Will read. :)