Understanding this pattern has so many implications, not only for brain-machine interfaces, but ways to improve brain treatment and maybe insight into building self-organizing robotics and computing. I agree, it is a giant step forward, even an evolutionary step forward. Neuroscientific work now has reached such a level of precision that our data often can be treated with computations based on applied mathematics and statistics. Nicolelis has discovered a series of key physiological principles that govern the operation of mammalian brain circuits. This was possible by decoding signals of hundreds of neurons recorded in volitional areas of the cerebral cortex while the monkey played with a hand-held joystick to move a shape in a video game. Skip to main content.
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This review has been hidden because it contains spoilers. Mar 31, Drew rated it really liked it.
Miguel A Nicolelis
In between, he returns frequently to the ongoing debate as to how the brain works. This is a great read for those interested in brain machine interfaces and is a solid overview of the work and people that have made it an actual thing today.
Actually not all that good quickly becomes very technical, and then goes migurl the table But an interesting expirement. Jun 01, Gabriel Deschamps rated it really liked it.
These days, many neuro- scientists are drawn into modeling, and thus a form of AI, because of the considerable number of free software modeling packages. The book offers specific and compelling kivro for not only controlling robotic systems remotely, but also for how our brain is naturally built to incorporate external apparatus and sense data directly into the body map and further into the sense of self, for brain connected robotics that restore the ability to walk to the paralyzed, for thought-based personal interaction, and even for direct brain to brain connections that create literal brain networks and a higher order of complexity.
Perhaps most impressively, its own arms were still free to move, but the nicoleliw figured out that it wasn't necessary, and switched on its own accord to just using the robot arm.
Miguel Angelo L. Nicolelis | Duke Biomedical Engineering
Interesting concepts and the future is bright with the neurological discoveries he describes. This theme of bringing science, particularly neuroscience, into a more public and relevant context is luvro underlying his recent book, Beyond Boundaries. May 21, Paul Williams rated it it was amazing Shelves: Ghazanfar, AA; Krupa, DJ; Nicolelis, MA, Role of cortical feedback in the receptive field structure and nonlinear response properties of somatosensory thalamic neurons.
Beyond Boundaries is a very interesting but difficult read.
Miguel NicolelisM. Nicolelis, MAL, Depression at thalamocortical synapses: The book is a whistle-stop tour of modern neuroscience offering an invaluable first-hand insight into the process of research and the reasoning and methods behind many of the classic and state-of-the-art experiments featuring the work of many other accomplished modern neuroscientists such as Eberhard Fetz and Jose Carmena who was a post-doctoral student of Nicolelis and completed his PhD at my own institution of Edinburgh.
Nicolelis launched a new field of investigation, which aims at measuring the concurrent activity nciolelis interactions of large populations of single neurons throughout the brain. Leia mais Leia menos. Understanding this pattern has so many implications, not only for brain-machine interfaces, but ways to improve brain treatment and maybe insight into building self-organizing robotics and computing.
Oct 11, Brendan McAuliffe rated it it was ok.
Oct 24, Michael Fruergaard rated it liked it. Many readers have complained of the technical difficulty of the book, but I find that it is nothing that a brief visit to Wikipedia wouldn't explain, and I assure you that in persevering with the book you get out much more than you put in.
Interwoven through much of his book are the conflicting ideals of localizationist and distributionist thought, a incolelis that has gone on for well over a century and continues to this day. But it's neither the introduction nor the finale to this book; it appears roughly halfway through.
Sep 22, Hom Sack rated it did not like it.
Furthermore, the book is far from a dry account or technical lecture as it is peppered with numerous amusing anecdotes and historical tales ranging from the aeronautical exploits of Alberto Santos-Dumont to the incredible 'mind-control' experiments of Jose Delgado.
It was much more of a textbook for students with a strong interest in neuroscience. Science is often seen as uncovering facts and truth, but often there is a long period of competing facts and competing truths. George Reeke, at Rockefeller University, envisions modeling of the brain as an obvious approach to answering questions all of us have about the brain: However, building and interpreting good computational models is a substantial challenge, especially so in the era of large datasets.
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Just a moment while we mivuel you in to your Goodreads account. Goodreads helps you keep track of books you want to read. Nevertheless, as Reeke points out, the field is not without its shortcomings. Jan 14, Lance rated it it was amazing. He does tell us about that, and the many incremental steps that led up to it. A really long book, but Dr.
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