Watch how operant conditioning turns one curious cat into a musical prodigy. Science meets silliness. Donald Trump's approval rating hits rock bottom Why Elon Musk says saving for retirement will be ...

Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance ...

Operant learning is a process by which a specific behavioural response (such as a lever press) is associated with a biologically salient stimulus known as a reinforcer (such as food). The dorsomedial ...

In this example, the capability index C pk is computed for the amplification data in AMPS. To examine the accuracy of this estimate, the following statements calculate a 90% confidence interval for C ...

Abstract: Currently, the research in memristor-based associative memory neural networks pays more attention to classical conditioning and lays less attention to operant conditioning. Moreover, a ...

Abstract: Actual urban road networks are characterized by a high level of dynamism, uncertainty, and more frequent situations of traffic congestion/jams which can lead to more complex traffic control ...

This is an Official PyTorch Implementation code for developing Adversarial Instrumental Variable Regression based on Adversarial Moment Restriction on Generalized Method of Moments (AMR-GMM) and ...

For better understanding, an illustrative example in "Optimal Double Q AC-DC Hybrid Distribution System Planning with Explicit Topology-Variable-Based Reliability Assessment " is presented in Github.