Building machines that adapt and compute like brains
This foundational work addresses the problem of understanding human cognition for researchers in cognitive science and computational neuroscience, though it is incremental as it builds on existing paradigms.
The paper proposes a new cognitive computational neuroscience approach to build machines that learn and think like humans, aiming to integrate cognitive-level and neural-level models and test them with brain and behavioral data.
Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational neuroscience should build cognitive-level and neural- level models, understand their relationships, and test both types of models with both brain and behavioral data.