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Matvey Ezhov

NeuroLex - 1 views

neurolex.org/Main_Page

brain neuroscience NeuroLex wiki

shared by Matvey Ezhov on 02 Nov 09 - Cached
  • Matvey Ezhov on 02 Nov 09
     
    The NeuroLex project, supported by the Neuroscience Information Framework project, is a dynamic lexicon of neuroscience terms. Unlike an encyclopedia, a lexicon provides the meaning of a term, and not all there is to know about it.
Matvey Ezhov

Whole Brain Project™ - 1 views

www.wholebrainproject.org

brain neuroscience Whole Brain Project

shared by Matvey Ezhov on 01 Nov 09 - Cached
  • Matvey Ezhov on 01 Nov 09
     
    "Simultaneous revolutions in neuroscience research and next generation software tools are merged in the Whole Brain Project™. The project joins neuroscientists and software engineers to employ experimental techniques to visualize and explore the burgeoning new discoveries about the brain's structure and function. Despite rapid progress in development of new experimental methods, our ability to simultaneously study the brain across all these scales remains quite limited. The Whole Brain Project looks to provide open source networks to help unify the disparate and heterogeneous data of neuroscientists."
  • Matvey Ezhov on 01 Nov 09
     
    Wooooohooo!!!!!!
  • Nikolay Sibirtsev on 01 Nov 09
     
    Пока не на что смотреть... Хотя может со временем и получится неплохая штука.
Matvey Ezhov

Mapping the brain - MIT news - 2 views

web.mit.edu/...brain-mapping.html

brain neuroscience connectome

shared by Matvey Ezhov on 20 Feb 10 - Cached
  • To find connectomes, researchers will need to employ vast computing power to process images of the brain. But first, they need to teach the computers what to look for.
  • to manually trace connections between neurons
  • want to speed up the process dramatically by enlisting the help of high-powered computers.
  • ...5 more annotations...
  • To do that, they are teaching the computers to analyze the brain slices, using a common computer science technique called automated machine learning, which allows computers to change their behavior in response to new data.
  • With machine learning, the researchers teach computers to learn by example. They feed their computer electron micrographs as well as human tracings of these images. The computer then searches for an algorithm that allows it to imitate human performance.
  • Their eventual goal is to use computers to process the bulk of the images needed to create connectomes, but they expect that humans will still need to proofread the computers’ work.
  • Last year, the National Institutes of Health announced a five-year, $30 million Human Connectome Project to develop new techniques to figure out the connectivity of the human brain. That project is focused mainly on higher level, region-to-region connections. Sporns says he believes that a good draft of higher-level connections could be achieved within the five-year timeline of the NIH project, and that significant progress will also be made toward a neuron-to-neuron map.
    • Matvey Ezhov
      Matvey Ezhov on 21 Feb 10
       
      draft of human connectome within five years
  • Though only a handful of labs around the world are working on the connectome right now, Jain and Turaga expect that to change as tools for diagramming the brain improve. “It’s a common pattern in neuroscience: A few people will come up with new technology and pioneer some applications, and then everybody else will start to adopt it,” says Jain.
Matvey Ezhov

» Python in neuroscience - 1 views

www.ine-news.org/view.php

neuroscience programming python

shared by Matvey Ezhov on 25 Oct 09 - Cached
  • Some already exist specifically for neural data analysis and simulation, such as PyMVPA2 and Brian3 respectively.
  • Matvey Ezhov on 25 Oct 09
     
    A widely used open-source programming language, Python is becoming the language of choice for neural data analysis and simulation.
Matvey Ezhov

Is this a unified theory of the brain? (Bayesian theory in New Scientist) - 1 views

reverendbayes.wordpress.com/...yesian-theory-in-new-scientist

bayesian theory of the brain brain neuroscience ai science neuroinformatics

shared by Matvey Ezhov on 27 Oct 09 - Cached
  • Neuroscientist Karl Friston and his colleagues have proposed a mathematical law that some are claiming is the nearest thing yet to a grand unified theory of the brain. From this single law, Friston’s group claims to be able to explain almost everything about our grey matter.
  • Friston’s ideas build on an existing theory known as the “Bayesian brain”, which conceptualises the brain as a probability machine that constantly makes predictions about the world and then updates them based on what it senses.
  • A crucial element of the approach is that the probabilities are based on experience, but they change when relevant new information, such as visual information about the object’s location, becomes available. “The brain is an inferential agent, optimising its models of what’s going on at this moment and in the future,” says Friston. In other words, the brain runs on Bayesian probability.
  • ...6 more annotations...
  • “In short, everything that can change in the brain will change to suppress prediction errors, from the firing of neurons to the wiring between them, and from the movements of our eyes to the choices we make in daily life,” he says.
  • Friston created a computer simulation of the cortex with layers of “neurons” passing signals back and forth. Signals going from higher to lower levels represent the brain’s internal predictions, while signals going the other way represent sensory input. As new information comes in, the higher neurons adjust their predictions according to Bayesian theory.
  • Volunteers watched two sets of moving dots, which sometimes moved in synchrony and at others more randomly, to change the predictability of the stimulus. The patterns of brain activity matched Friston’s model of the visual cortex reasonably well.
  • Friston’s results have earned praise for bringing together so many disparate strands of neuroscience. “It is quite certainly the most advanced conceptual framework regarding an application of these ideas to brain function in general,” says Wennekers. Marsel Mesulam, a cognitive neurologist from Northwestern University in Chicago, adds: “Friston’s work is pivotal. It resonates entirely with the sort of model that I would like to see emerge.”
  • “The final equation you write on a T-shirt will be quite simple,” Friston predicts.
  • There’s work still to be done, but for now Friston’s is the most promising approach we’ve got. “It will take time to spin off all of the consequences of the theory – but I take that property as a sure sign that this is a very important theory,” says Dehaene. “Most other models, including mine, are just models of one small aspect of the brain, very limited in their scope. This one falls much closer to a grand theory.”
thinkahol *

YouTube - Jeff Hawkins on Artificial Intelligence - Part 1/5 - 0 views

www.youtube.com/watch

intelligence math computer neuroscience philosophy bayesian

shared by thinkahol * on 04 Jun 10 - Cached
  • thinkahol * on 04 Jun 10
     
    June 23, 2008 - The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.
Volucer Volucer

Equal numbers of neuronal and nonneuronal cells ma... [J Comp Neurol. 2009] - PubMed re... - 0 views

www.ncbi.nlm.nih.gov/...19226510

neuroscience brain science наука нейробиология ИИ

shared by Volucer Volucer on 19 Dec 09 - No Cached
  • Volucer Volucer on 19 Dec 09
     
    "We find that the adult male human brain contains on average 86.1 +/- 8.1 billion NeuN-positive cells ("neurons") and 84.6 +/- 9.8 billion NeuN-negative ("nonneuronal") cells. With only 19% of all neurons located in the cerebral cortex, greater cortical size (representing 82% of total brain mass) in humans compared with other primates does not reflect an increased relative number of cortical neurons. "
  • Volucer Volucer on 19 Dec 09
     
    New data about overall number of neurons in brain
Matvey Ezhov

IEEE Spectrum: The Cat Brain Cliff Notes - 1 views

spectrum.ieee.org/...the-cat-brain-cliff-notes

ieee ai brain neuroscience IBM

shared by Matvey Ezhov on 27 Nov 09 - Cached
  • It should be pretty clear at this point that no one's going to be building a Caprica Six any time soon.
    • Matvey Ezhov
      Matvey Ezhov on 27 Nov 09
       
      Damn, they ruined my dream! :D
  • "No, no, it's not a cat brain. A cat-SCALE simulation."
  • Matvey Ezhov on 27 Nov 09
     
    More on IBM "Cat's Brain"
  • Volucer Volucer on 13 Dec 09
     
    =)
Matvey Ezhov

Biological Basis of HTMs - Numenta.com - 3 views

www.numenta.com/...biological-background-htm.php

numenta JeffHawkins hawkins HTM neuroinformatics neuroscience neuro

shared by Matvey Ezhov on 13 Oct 09 - Cached
  • Volucer Volucer on 13 Oct 09
     
    исключительно интересно. Проштудирую
Matvey Ezhov

Мозг революции | Наука и техника | Наука и технологии России - 1 views

www.strf.ru/science.aspx

ии мозг brain neuroscience Анохин

shared by Matvey Ezhov on 12 Oct 09 - Cached
  • Ещё в 1998 году, до появления американского отчёта, Михаил Ковальчук предложил собственную идеологию объединения тех же четырёх областей знания.
  • «Крупнейшие нейробиологи мира прогнозируют, что через несколько лет таблетки для стимуляции памяти могут оказаться такими же привычными для здоровых людей, как витамины», — отметил Константин Анохин.
  • Проект компании IBM позиционируется как разработка принципиально новой компьютерной архитектуры, которая через год-два будет сопоставима по своим возможностям с интеллектом крысы.
  • ...3 more annotations...
  • Когда им показывали сотни разных фотографий, выяснилось, что в передней области гипоталамуса клетки очень специализированы.
    • Matvey Ezhov
      Matvey Ezhov on 12 Oct 09
       
      Явная ошибка
  • Например, у одного пациента наблюдалась активация определённого нейрона в момент узнавания изображения актрисы Холли Берри. Причём пациенту предъявлялись её снимки в той или иной одежде, в различных ролях, карикатуры и даже кадр, на котором была просто надпись «Холли Берри» на экране компьютера. При взгляде ни на чьи другие фотографии данный конкретный нейрон не реагировал. При этом соседний с ним нейрон у того же пациента активизировался только на образ матери Терезы.
  • для объяснения принципов организации сознания нельзя использовать какие-то усредняющие сигналы
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