AI Returns The Favour: Implications Of Deep RL In Neuroscience

"This is a great opportunity to continue the synergistic virtuous circle' that has connected neuroscience and AI for decades." Artificial Neural networks occasionally get the bad rap for watering down the complexity of how a human brain works with over the top analogies. But, there is no denying the fact that popular algorithms were heavily inspired by how the natural systems work. Now, after three decades of innovation and inventions, AI as a domain has touched many functionalities of human cognition. From attention to memory to dreams, there is an active research space that is burgeoning with every passing day. Now a team of researchers at DeepMind are exploring the possibility of reverse engineering the results of algorithms to know more about cognitive functions.