According to reinforcement learning theory, reward expectation reflects an integration of past rewards over a fixed time scale. Here the authors extract signals about reward memory from neurons in the prefrontal, cingulate and parietal cortex, finding a wide range of time constants across the neuronal population, with a power-law distribution.
- Alberto Bernacchia
- Hyojung Seo
- Xiao-Jing Wang
