Classical conditioning is a form of associative learning in which a neutral stimulus (conditioned stimulus, CS) is paired with another stimulus (unconditioned stimulus, US) that brings about an ...

This set of experiments provides important knowledge for how the infralimbic cortex is recruited to inhibit behavior after extinction training. The evidence supporting the conclusions is convincing ...

Fear conditioning is a type of classical conditioning that involves pairing an aversive stimulus (such as an electric shock) with either a neutral context (such as a location) or stimulus (such as a ...

Abstract: Operant conditioning is a learning mechanism by which animals adapt to its external environment and past experiences. In the field of artificial intelligence, DNA strand displacement (DSD) ...

The Classical Learning Test, endorsed by Secretary of Defense Pete Hegseth, is gaining traction as an alternative to ...

A multi-institutional team of researchers led by Virginia Tech's Fralin Biomedical Research Institute at VTC has for the first time identified specific patterns of brain chemical activity that predict ...

There are enviable individuals who acquire skills and knowledge effortlessly, others are more orderly and achievement-focused than are their peers, and still others who exhibit unusual talents. While ...

Multi-modal medical image registration is a fundamental task in medical imaging, aiming to spatially align anatomical structures across images acquired with different modalities such as CT and MRI.

Abstract: Early and accurate diagnosis of dementia is critical for timely intervention and care planning. In this study, we benchmark classical machine learning (ML) models - including Random Forest, ...

dist_classicrl provides high-performance, scalable implementations of classic reinforcement learning algorithms with support for distributed training. The library focuses on Q-Learning with multiple ...