For over two decades, phasic activity in midbrain dopamine neurons was considered
synonymous with the prediction error in temporal-difference reinforcement learning. Central to this …

Every day we are faced with a huge amount of new information. We can’t learn about
everything, we have to select what to learn about. We have many systems that contribute to …

Recently there has been a reckoning in the dopamine field. This has suggested that the
dopamine prediction error may function as a teaching signal, without endowing preceding …

Behavior is often dichotomized into model-free and model-based systems 1 , 2 . Model-free
behavior prioritizes associations that have high value, regardless of the specific …

For over two decades, midbrain dopamine was considered synonymous with the prediction
error in temporal-difference reinforcement learning. Central to this proposal is the notion that …

COVID-19 is a rapidly spreading disease over the world, yet hospital resources are limited. A
recent COVID-19 study reveals that CT imaging can be used to detect disease progression …

Two accepted possible pathways for Merkel cell carcinoma (MCC) pathogenesis include the
clonal integration of the Merkel cell polyomavirus (MCPyV) into the neoplastic cells and by …

Byte-addressable non-volatile memory (NVM) features high density, DRAM comparable
performance, and persistence. These characteristics position NVM as a promising new tier in …

This study deals with the problem of optimizing transmit power in high density heterogeneous
networks. In the communication network, effective methods of allocating transmit power, in …

The emergence of high-density byte-addressable non-volatile memory (NVM) is promising
to accelerate data-and compute-intensive applications. Current NVM technologies have …