Neuromodulatory systems such as serotonin and dopamine seem to play an important role in our ability to effortlessly adapt to and learn in unpredictable, ever-changing environments. These systems can dynamically change how neurons learn and respond to stimuli based on context. Our brain has a diverse set of neuromodulatory systems, operating at multiple time scales and interacting in complex ways.
Can neuromodulatory principles enable better and more flexible learning in deep neural networks?
In this Brains@Bay meetup, our speakers will review what is known about neuromodulatory mechanisms and explore how they may provide useful insights into creating more efficient and truly intelligent machines.
➤ Jie Mei (The Brain and Mind Institute)
➤ Srikanth Ramaswamy (Newcastle University)
➤ Thomas Miconi (ML Collective)
The talks will be followed by a discussion panel and Q&A.
We look forward to seeing you there! Join our Meetup group for more updates on this event.