.....with Immerse Reality Enhancement based on Temporal lobe Modulation soon mankind will
see ,hear ,feel and experience the world 2 ways..
it is now possible to communicate without words but with thoughts and computer assisted over lay of another's 5 senses-J.R.Boom (2014)
see ,hear ,feel and experience the world 2 ways..
it is now possible to communicate without words but with thoughts and computer assisted over lay of another's 5 senses-J.R.Boom (2014)
Bio-inspired Vision..The Eyes Have Had it
by Christoph Posch
At AIT, the Austrian Institute of Technology, we have developed the next generation of biomimetic, frame-free vision and image sensors. Based on the seminal research on neuromorphic electronics at CalTech in the 1990’s and further developed in collaboration with the Institute of Neuroinformatics at the ETH Zürich, ATIS is the first optical sensor to combine several functionalities of the biological ‘where’- and ‘what’-systems of the human visual system. Following its biological role model, this sensor processes the visual information in a massively parallel fashion using energy-efficient, asynchronous event-driven methods.
Neuromorphic Systems
Biological sensory and information processing systems still outperform the most powerful computers in routine functions involving perception, sensing and motor control, and are, most strikingly, orders of magnitude more energy-efficient. The reasons for the superior performance of biological systems are still only partly understood, but it is apparent that the hardware architecture and the style of computation in nervous systems are fundamentally different from those applied in artificial synchronous information processing.
In the late 1980s it was demonstrated that modern semiconductor VLSI technology is able to implement electrical circuits that mimic biological neural functions and allow the construction of neuromorphic systems, which – like the biological systems they model – process information using energy-efficient, asynchronous, event-driven methods. The greatest successes of neuromorphic systems to date have been in the emulation of peripheral sensory transduction, most notably in vision.
by Christoph Posch
At AIT, the Austrian Institute of Technology, we have developed the next generation of biomimetic, frame-free vision and image sensors. Based on the seminal research on neuromorphic electronics at CalTech in the 1990’s and further developed in collaboration with the Institute of Neuroinformatics at the ETH Zürich, ATIS is the first optical sensor to combine several functionalities of the biological ‘where’- and ‘what’-systems of the human visual system. Following its biological role model, this sensor processes the visual information in a massively parallel fashion using energy-efficient, asynchronous event-driven methods.
Neuromorphic Systems
Biological sensory and information processing systems still outperform the most powerful computers in routine functions involving perception, sensing and motor control, and are, most strikingly, orders of magnitude more energy-efficient. The reasons for the superior performance of biological systems are still only partly understood, but it is apparent that the hardware architecture and the style of computation in nervous systems are fundamentally different from those applied in artificial synchronous information processing.
Biological sensory and information processing systems still outperform the most powerful computers in routine functions involving perception, sensing and motor control, and are, most strikingly, orders of magnitude more energy-efficient. The reasons for the superior performance of biological systems are still only partly understood, but it is apparent that the hardware architecture and the style of computation in nervous systems are fundamentally different from those applied in artificial synchronous information processing.
In the late 1980s it was demonstrated that modern semiconductor VLSI technology is able to implement electrical circuits that mimic biological neural functions and allow the construction of neuromorphic systems, which – like the biological systems they model – process information using energy-efficient, asynchronous, event-driven methods. The greatest successes of neuromorphic systems to date have been in the emulation of peripheral sensory transduction, most notably in vision.
BUFFALO, N.Y.
By Ellen Goldbaum July 6, 2010-- Clusters of heated, magnetic nano particles targeted to cell membranes can remotely control ion channels, neurons and even animal behavior, according to a paper published by University at Buffalo
- A nanometre is a millionth of a millimeter. that is already very small; atoms, the building blocks of matter, are only ten times smaller. well over 10 to the power of 10 dots with a diameter of a nanometre would fit in the dot on this i. that is more than 10,000,000,000.
Researchers from the University of Zurich, have created neuromorphic chips that can mimic the way a human brain will process information in real-time.
With the assistance of a few test subjects eager to "commune" with an artificial sensory processing system Proxy Cyber and Parasol Pictures goal is to help scientists and film makers “emulate the properties of biological neurons and synapses directly on microchips.”
Researchers at the University of Berkley have allegedly followed suit by requesting volunteers to be implanted with mind-reading “neural dust” to facilitate effective "out of the box/ out of the lab" Brain Computer interface Systems
Researchers from the University of Zurich, have created neuromorphic chips that can mimic the way a human brain will process information in real-time.
With the assistance of a few test subjects eager to "commune" with an artificial sensory processing system Proxy Cyber and Parasol Pictures goal is to help scientists and film makers “emulate the properties of biological neurons and synapses directly on microchips.”
Researchers at the University of Berkley have allegedly followed suit by requesting volunteers to be implanted with mind-reading “neural dust” to facilitate effective "out of the box/ out of the lab" Brain Computer interface Systems
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