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Computational Neuroscience

Computational Neuroscience
About the Course This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information. Course Syllabus Topics covered include: 1. Recommended Background Familiarity with basic concepts in linear algebra, calculus, and probability theory. In-course Textbooks

https://www.coursera.org/course/compneuro

Related:  NeurosciencesConceptual & Higher level Math topics

There's an app for that: Neuroscience Before the digital age, neuroscientists got their information in the library like the rest of us. But the explosion of neuroscience research has resulted in the publication of nearly 2 million papers — more data than any researcher can read and absorb in a lifetime. That's why a UCLA team has invented research maps. Easily accessible through an online app, the maps help neuroscientists quickly scan what is already known and plan their next study.

AI: Neural Networks About the Course Neural networks use learning algorithms that are inspired by our understanding of how the brain learns, but they are evaluated by how well they work for practical applications such as speech recognition, object recognition, image retrieval and the ability to recommend products that a user will like. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. Neurological disorder MMF found to be caused by vaccines: scientific proof (NaturalNews) It is a little-known condition that can trigger persistent and debilitating symptoms similar to those associated with multiple sclerosis (MS) and fibromyalgia, but is also one that the medical profession at large is still unwilling to acknowledge. And yet emerging research continues to show that macrophagic myofasciitis, or MMF, is a very real condition brought about as a direct result of vaccines that contain aluminum adjuvants, which become lodged in muscle tissue and lead to severe neurological damage and other problems. First identified in 1998, MMF is characterized by debilitating muscle and joint pain, chronic inflammation, and incapacitating fatigue.

Logic 101 Logic 101 These lectures cover introductory sentential logic, a method used to draw inferences based off of an argument's premises. Logic is ubiquitous--individuals thinking of pursuing a career in law, computer science, mathematics, or social science must have a firm understanding of basic logic to succeed. Even someone who occasionally programs in Microsoft Excel would benefit greatly.

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Introduction to Mathematical Thinking About the Course NOTE: For the Fall 2015 session, the course website will go live at 10:00 AM US-PST on Saturday September 19, two days before the course begins, so you have time to familiarize yourself with the website structure, watch some short introductory videos, and look at some preliminary material. The goal of the course is to help you develop a valuable mental ability – a powerful way of thinking that our ancestors have developed over three thousand years.

Logic: Language and Information 1 About the Course Information is everywhere: in our words and our world, our thoughts and our theories, our devices and our databases. Logic is the study of that information: the features it has, how it’s represented, and how we can manipulate it. Critical Thinking Course Summary This MOOC is an introduction in Critical Thinking, with an emphasis on using reason in our daily communication. Its main topics cover the structure and analysis of arguments, the study of inductive reasoning as basis for scientific knowledge and as key ingredient in how we understand reality. Next we will focus on fallacies (like loaded question or hasty generalization) and on guidelines for structuring a presentation, an argumentative essay or a debate. Furthermore, the course gives you an overview of cognitive biases (a fashionable topic nowadays), and on the use of emotional tools in persuasion. The teaching is accompanied by tons of documented experiments and fun examples, guided practice, quizzes, links to additional materials (like TED talks) and short homework.

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