OPTIMIZING REPRODUCIBILITY OF OPERANT TESTING THROUGH REINFORCER STANDARDIZATION: IDENTIFICATION OF KEY NUTRITIONAL CONSTITUENTS DETERMINING REWARD STRENGTH IN TOUCHSCREENS

Abstract Reliable and reproducible assessment of animal learning and behavior is a central aim of basic and translational neuroscience research.Recent developments in automated operant chamber technology have led to the possibility of universal standard protocols, in addition to increased translational potential, reliability and accuracy.However, t

Spacecraft component detection is essential for space missions, such as for rendezvous and on-orbit assembly.Traditional intelligent detection algorithms suffer from drawbacks related to high computational burden, and are not applicable for on-board use.This paper proposes a convolutional neural Steamers network (CNN)-based lightweight algorithm fo

Geomatics has been an important tool in archaeology.The combination of Geomatics and archaeology adopters have been considered a perfect match, since archaeology often involves the study of the spatial dimension of human behavior over time, and all archaeology carries a spatial component.Since Iraqi archaeology becomes one of the main victims of de