Nice references! I have some criticism of "Toward an Integration of Deep Learning and Neuroscience" which I've talked to the authors about. I felt like they dow

Nice references! I have some criticism of "Toward an Integration of Deep Learning and Neuroscience" which I've talked to the authors about. I felt like they downplayed the importance of integration between neuroscience and machine learning [1], while over-playing the biological plausibility of Deep Learning [2]. I'm also uncomfortable with the characterization of Neuromorphic computing as "Deep Learning on a Chip", as this dismisses the possibility of online learning and neural dynamic systems [3], which I think are necessary for truly intelligent systems. As for Liquid State Machines, those evolved into Reservoir Computing and Echo State Machines. If you want to read more about them, I would recommend this paper comparing them to the Neural Engineering Framework [4] (with code!) to get a good idea of the state of the field. [1] https://medium.com/@seanaubin/deep-learning-is-almost-the-brain-3aaecd924f3d https://medium.com/@seanaubin/deep-learning-is-almost-the-br... [2] https://cogsci.stackexchange.com/q/16269/4397 https://cogsci.stackexchange.com/q/16269/4397 [3] https://medium.com/@seanaubin/a-way-around-the-coming-performance-walls-neuromorphic-hardware-with-spiking-neurons-facd4291b201 https://medium.com/@seanaubin/a-way-around-the-coming-perfor... [4] https://github.com/arvoelke/delay2017/blob/master/delay2017.pdf https://github.com/arvoelke/delay2017/blob/master/delay2017....