In a new paper appearing in the Aug. 9 issue of Nature, they report that two major classes of brain cells repress neural activity in specific mathematical ways: One type subtracts from overall activation, while the other divides it.
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Along with predicting our future behaviors, brain scans can guess when we’re about to make a cognitive error, mis-processing a math problem because we’re thinking too hard. Like a dashboard widget watching your computer’s RAM, brain wave patterns can be used to detect when the brain is approaching its limits of processing power, according to new research. Articles about NEUROSCIENCE: http://www.scoop.it/t/science-news?tag=neuroscience 
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The world often breaks down into numbers and regular patterns that form predictable cycles. And the sooner children can inherently grasp these patterns, the more confident and comfortable they will be with the world of math.
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New theory doesn’t limit consciousness to the brain... Tononi intuited a powerful new theory of consciousness, a theory based on the flow of information. He and others believe that mathematics — in particular, a set of equations describing how bits of data move through the brain — is the key to explaining how the mind knits together an experience
Jared Broker's comment,
September 26, 2013 11:27 AM
I like the model of a pervasive field of consciousness where the brain is a tuner - receiver. We have the power to change our "consciousness tool".
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Over a period of 12 years, Andrei Chikatilo murdered at least 53 people before being arrested in Rostov, Russia, in 1990. While Chikatilo’s killings, mainly of women and children, may have been senseless, a new study has found some sense in the distribution of intervals between the murders, which closely follows a power law. The researchers propose that the murder activity can be explained by a model describing neuronal firing in the brain, very similar to the model that describes the distribution of intervals between epileptic seizures.
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Our ability to map numbers onto a physical space – such as along a line – must be learned... Articles about NUMBERS: http://www.scoop.it/t/science-news?tag=numbers
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Taking complex systems such as the Internet and social networks as examples, a group of experts at the University of Cambridge was able to create a mathematical model of the brain. Though simple, their tool provides a surprisingly complete statistical account of how different regions interact.
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"This model is inspired by the brain," she says. "It is a mathematical formulation of the brain's neural networks with their adaptive abilities." The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine's lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning. Articles about NEUROSCIENCE: http://www.scoop.it/t/science-news?page=7&tag=neuroscience
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We measure a digit ratio, abstract reasoning ability with the Raven Progressive Matrices task, and risk attitude with choice among lotteries. Low digit ratio in men is associated with higher risk taking and higher scores in abstract reasoning ability when a combined measure of risk aversion over different tasks is used.
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“Networks are everywhere. The brain is a network of nerve cells connected by axons, and cells themselves are networks of molecules connected by biochemical reactions. Societies, too, are networks of people linked by friendships, familial relationships and professional ties. On a larger scale, food webs and ecosystems can be represented as networks of species. And networks pervade technology: the Internet, power grids and transportation systems are but a few examples. Even the language we are using to convey these thoughts to you is a network, made up of words connected by syntactic relationships.”
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By combining sophisticated mathematical techniques more commonly used by spies instead of scientists with the power and versatility of functional magnetic resonance imaging (fMRI), a Penn neurologist has developed a new approach for studying the inner workings of the brain. A hidden pattern is encoded in the seemingly random order of things presented to a human subject, which the brain reveals when observed with fMRI. The research is published in the journal NeuroImage.
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