This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, ...
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NBER + NEP Working Papers Weekly Report (NEP Topics: China, AI, Urban, Development, Environment, Labour, Econometrics) - ShiXiongEcon/shixiong-wp ...
Concurrently, unified platforms for simultaneous multi-omics profiling are needed, coupled with specialized bioinformatics algorithms tailored to autoimmunity. Key goals include automated detection of ...