One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...

Researchers have successfully altered human reward learning using non-invasive transcranial ultrasound stimulation directed at a deep brain structure linked to motivation.

Understanding the underlying biological mechanisms of human and animal behavior can help advance critically important industries such as medicine, healthcare, robotics, artificial intelligence (AI), ...

The agent, a person or thing that can act or produce an effect, learns to select the optimal action through reinforcement learning using reward signals. It makes predictions about its environment ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

John Schulman cofounded the ambitious software company OpenAI in December 2015, shortly before finishing his Ph.D. in electrical engineering and computer sciences at UC Berkeley. At OpenAI, he led the ...

Artificial intelligence entrepreneur and neuroscience researcher Max Bennett has a fascinating thesis in A Brief History of Intelligence: Why The Evolution Of The Brain Holds The Key To The Future Of ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It produces dopamine, a neuromodulator that helps predict future rewards based on ...