Researchers at the ATR Computational Neuroscience Laboratories succeeded in processing and displaying images directly from the human brain, they said in a study unveiled ahead of publication in the US magazine Neuron.
While the team for now has managed to reproduce only simple images from the brain, they said the technique could eventually be used to figure out dreams and other secrets inside people's minds.
"It was the first time in the world that it was possible to visualize what people see directly from the brain activity," the private institute said in a statement.
"By applying this technology, it may become possible to record and replay subjective images that people perceive like dreams."
When people look at an object, the eye's retina recognises an image that is converted into electrical signals which go into the brain's visual cortex. The team, led by chief researcher Yukiyasu Kamitani, succeeded in catching the signals and then reconstructing what people see.
In their experiment, the researchers showed people the six letters in the word "neuron" and then succeeded in reconstructing the letters on a computer screen by measuring their brain activity.
[ more ] [ also ]
Dec 15, 2008
Dec 11, 2008
IBM seeks to simulate brain
IBM Research and five universities have partnered to create low-power-consumption and compact-sized computing systems that they expect will simulate and emulate the brain’s abilities for sensation, perception, action, interaction, and cognition.
IBM’s proposal, “Cognitive computing via synaptronics and supercomputing,” (C2S2) outlines research to be conducted over the next nine months in areas including synaptronics, material science, neuromorphic circuitry, supercomputing simulations, and virtual environments.
Encouraging the effort, IBM and its collaborators have been awarded $4.9 million in funding from the Defense Advanced Research Projects Agency (DARPA) for the first phase of DARPA’s Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) initiative.
Initial C2S2 research will focus on demonstrating nanoscale, low-power synapse-like devices and on "uncovering the functional microcircuits of the brain," IBM said, noting that the long-term mission of C2S2 is to demonstrate low-power, compact cognitive computers that approach mammalian-scale intelligence.
[ more ]
IBM’s proposal, “Cognitive computing via synaptronics and supercomputing,” (C2S2) outlines research to be conducted over the next nine months in areas including synaptronics, material science, neuromorphic circuitry, supercomputing simulations, and virtual environments.
Encouraging the effort, IBM and its collaborators have been awarded $4.9 million in funding from the Defense Advanced Research Projects Agency (DARPA) for the first phase of DARPA’s Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) initiative.
Initial C2S2 research will focus on demonstrating nanoscale, low-power synapse-like devices and on "uncovering the functional microcircuits of the brain," IBM said, noting that the long-term mission of C2S2 is to demonstrate low-power, compact cognitive computers that approach mammalian-scale intelligence.
[ more ]
Dec 6, 2008
First superconducting transistor promises PC revolution
The world's first superconducting transistor, a long-standing goal for applied physicists, could lead to dramatically faster microchips. Andrea Caviglia and his colleagues at the University of Geneva in Switzerland grew a single crystal containing two metal oxides, strontium titanate and lanthanum aluminate, as separate segments. At the interface of these materials, the team found a layer of free electrons called an electron gas (Science, vol 317, p 1196). At 0.3 kelvin - just above absolute zero - these electrons flow without resistance and so create a superconductor. Now the same group says it can switch this superconductivity on and off by applying a voltage to the interface. The result is a superconducting version of the field effect transistor (FET) - a mainstay of digital electronics.
[ more ]
[ more ]
Subscribe to:
Posts (Atom)