This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning ...

Adam Nemeroff does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: Sigmoid function and ReLU are commonly used activation functions in neural networks (NN). However, sigmoid function is vulnerable to the vanishing gradient problem, while ReLU has a special ...

CME Group is a resilient and defensible business, with high margins and a great balance sheet. Interest rate derivatives, CME’s highest volume segment, are poised for growth amid expected rate cuts, ...

Slope and intercepts of a line are fundamental concepts in mathematics, especially in algebra, calculus, and geometry. Calculating the slope (m) tells us how steep the line is, while intercepts (x and ...

Learn how utility functions derive demand functions and their role in maximizing consumer satisfaction and economic decision making.

Gradient, also known as slope, is a key concept in mathematics, and it is used to measure the steepness of a curve or straight line. In this article, we will explore the fundamental principles of ...