73 results.
The Neurotech Primer is an effort of the NeuroTechX community to provide an introduction to the world of neurotechnology and the surrounding ecosystem. Readers will get the opportunity to learn about a variety of different devices and how they are able to either stimulate or read the brain. This book covers 11 different types of technologies, as well as its history, companies and key players that have helped to drive this field forward.
Most startups don't fail because they can't build a product. Most startups fail because they can't get traction. Startup advice tends to be a lot of platitudes repackaged with new buzzwords, but Traction is something else entirely.
As Gabriel Weinberg and Justin Mares learned from their own experiences, building a successful company is hard. For every startup that grows to the point where it can go public or be profitably acquired, hundreds of others sputter and die. Smart entrepreneurs know that the key to success isn't the originality of your offering, the brilliance of your team, or how much money you raise. It's how consistently you can grow and acquire new customers (or, for a free service, users). That's called traction, and it makes everything else easier - fund-raising, hiring, press, partnerships, acquisitions. Talk is cheap, but traction is hard evidence that you're on the right path.
Traction will teach you the 19 channels you can use to build a customer base and how to pick the right ones for your business. It draws on interviews with more than 40 successful founders, including Jimmy Wales (Wikipedia), Alexis Ohanian (reddit), Paul English (Kayak), and Dharmesh Shah (HubSpot). You'll learn, for example, how to:
- Find and use offline ads and other channels your competitors probably aren't using
- Get targeted media coverage that will help you reach more customers
- Boost the effectiveness of your email marketing campaigns by automating staggered sets of prompts and updates
- Improve your search engine rankings and advertising through online tools and research
Weinberg and Mares know that there's no one-size-fits-all solution; every startup faces unique challenges and will benefit from a blend of these 19 traction channels. They offer a three-step framework (called Bullseye) to figure out which ones will work best for your business.
In Other Minds, Peter Godfrey-Smith, a distinguished philosopher of science and a skilled scuba diver, tells a bold new story of how subjective experience crept into being?how nature became aware of itself. As Godfrey-Smith stresses, it is a story that largely occurs in the ocean, where animals first appeared. Tracking the mind’s fitful development, Godfrey-Smith shows how unruly clumps of seaborne cells began living together and became capable of sensing, acting, and signaling. As these primitive organisms became more entangled with others, they grew more complicated. The first nervous systems evolved, probably in ancient relatives of jellyfish; later on, the cephalopods, which began as inconspicuous mollusks, abandoned their shells and rose above the ocean floor, searching for prey and acquiring the greater intelligence needed to do so. Taking an independent route, mammals and birds later began their own evolutionary journeys.
Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research.
The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoring and potentially augmenting human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and deep brain stimulation for Parkinson’s disease are becoming increasingly commonplace. Brain- computer interfaces (BCIs) (also known as brain- machine interfaces or BMIs) are now being explored in applications as diverse as security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper- level undergraduate and first year graduate courses in neural engineering or brain- computer interfacing for students from a wide range of disciplines. It can also be used for self- study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include: Essential background in neuroscience, brain recording and stimulation technologies, signal processing, and machine learning.