The number of neurons and synapses in the simulation exceed those in a cat’s brain;
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Bigger not necessarily better, when it comes to brains - 1 views
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"In fact, the models suggest that counting could be achieved with only a few hundred nerve cells and only a few thousand could be enough to generate consciousness. "
IEEE Spectrum: IBM Unveils a New Brain Simulator - 2 views
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Мда, немного демотивируют приведенные цифры о соотношении массы и потребляемой энергии. По их данным получается вычислительные мощности эквивалентные человеческому мозгу на 5 порядков больше потребляют энергии и на столько же больше весят. -
Как раз это демотивировать не должно - расчет ведется на современной архитектуре. Упоминавшейся в статье чип ДАРПАы будет потреблять намного меньше.
Time-keeping Brain Neurons Discovered - 3 views
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An MIT team led by Institute Professor Ann Graybiel has found groups of neurons in the primate brain that code time with extreme precision.
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The neurons are located in the prefrontal cortex and the striatum, both of which play important roles in learning, movement and thought control.
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The research team trained two macaque monkeys to perform a simple eye-movement task. After receiving the "go" signal, the monkeys were free to perform the task at their own speed. The researchers found neurons that consistently fired at specific times -- 100 milliseconds, 110 milliseconds, 150 milliseconds and so on -- after the "go" signal.
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Its would be difficult, if neurons of that kind have not be discovered. Obliviously, we have millions of it in our brains. For make time-keeping neurons we need (in simplest case) only 2 neurons with reciprocal connections. More units in circle - more time to delay - more time to "keep".
Also, not single "time keeping neurons" but time keeping circles.
Such clear understating of processes on neuronal level is completely impossible without Brainbug play experience. Think about it!
Technology Review: Intelligence Explained (!) - 0 views
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"Scientists are now able to switch the focus from particular regions of the brain to the connections between those regions," says Sherif Karama, a psychiatrist and a neuroscientist at McGill University's Montreal Neurological Institute.
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A quantifiable "general intelligence factor," known as g, can be statistically extracted from scores on a battery of intelligence tests.
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In 2001, Thompson showed that it is correlated with volume in the frontal cortex, a result consistent with a number of studies that have linked intelligence to overall brain size.
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New Light On Nature Of Broca's Area: Rare Procedure Documents How Human Brain Computes Lan... - 0 views
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Our task involved both reading and speaking, and we found that aspects of word identity, grammar and pronunciation are all computed within Broca's area.
Genetics Of Patterning The Cerebral Cortex: How Stem Cells Yield Functional Regions In 'Gr... - 0 views
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Their discovery reveals a critical period during which a LIM homeodomain transcription factor known as Lhx2 decides over the progenitors' regional destiny: Once the window of opportunity closes, their fate is sealed.
Can We 'Learn To See?': Study Shows Perception Of Invisible Stimuli Improves With Training - 0 views
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A Harvard Medical School study last year found that one blindsight patient could maneuver down a hallway filled with obstacles, even though the subject could not actually see.
Schwiedrzik said the new research may help blindsight patients gain conscious awareness of what their minds can see, and he suggested that new research should address whether the brains in blindsight patients and people with normal vision process the information the same way.
Nanowire Biocompatibility In The Brain: So Far So Good - 0 views
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One advantage of nanoscale electrodes is that they can register and stimulate the tiniest components of the brain.
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Researchers at Lund University in Sweden have managed for the first time to carry out successful experiments involving the injection of so-called 'nanowires.'
Perceptual Learning Relies On Local Motion Signals To Learn Global Motion - 0 views
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The brain first perceives changes in visual input (local motion) in the primary visual cortex. The local motion signals are then integrated in the later visual processing stages and interpreted as global motion in the higher-level processes.
But when subjects in a recent experiment using moving dots were asked to detect global motion (the overall direction of the dots moving together), the results show that their learning relied on more local motion processes (the movement of dots in small areas) than global motion areas.
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show that the improvement in detection of global motion is not due to learning of the global motion but to learning of local motion of the moving dots in the test.
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