Monthly archive April, 2017
Paper Review: An Integration of Deep Learning and Neuroscience, Part 2

Paper Review: An Integration of Deep Learning and Neuroscience, Part 2

One of the key sticking points in discussions comparing machine learning and the brain is how the notion of “learning” differs between computational and biological systems. In section 2 of their paper, Marblestone et al. grapple with this issue in detail. For our introduction post on this paper, go here. Deep neural networks are trained...
Quick Hit: Bad Advice from a Bad Mentor

Quick Hit: Bad Advice from a Bad Mentor

As anyone in a PhD program knows, your experience is highly dependent on your relationship with your advisor. We discussed in our earlier post, How to Choose a PhD Advisor, ways to hopefully make the “right” (best?) choice. While there are many advisors in the world, not all can be called mentors. The difference is...
Paper Review: An Integration of Deep Learning and Neuroscience, Part 1

Paper Review: An Integration of Deep Learning and Neuroscience, Part 1

Nicole: More and more I see that people are very concerned with the biological plausibility of neural networks. I think this comes from the fact that we as machine learners are finally achieving human-level performance on some tasks. It has renewed faith in the idea that the best way to “solve” intelligence is to copy...