Resources to learn Computational Neuroscience on your Own (a self-study guide)

Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have g

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational

Learn Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, ...

Prof. Gilbert Strang's Home Page, MIT Math Dept. Containsrecent wavelet and applied math papers, textbooks, and shortcourseinformation.

Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps

Introduction to Electrodynamics book. Read 126 reviews from the world's largest community for readers. This work offers accesible coverage of the fundame...

Similarities and differences between deep learning models and primate vision have been the focus of recent research. Audition is comparatively less-studied. A new report describes the emergence of human-like auditory perception in a deep neural network, and suggests a promising way to relate percept

Memory recollections and voluntary actions are often perceived as spontaneously generated irrespective of external stimuli. Although products of our neurons, they are only rarely accessible in humans at the neuronal level. Here I review insights gleaned from unique neurosurgical opportunities to rec

During an individual's lifetime, their brain undergoes a unique transformation that we have precisely mapped across thousands of people to create and share reference growth charts of the human brain's lifespan which allow for single subject exploration and inference.