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Neuroscientific Web Research of: The "TTAQS" Metaphor. (Tubular Tripartite Artificial Quantum Synapse)
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Showing posts from 2015
‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures
Reliable Multivalued Conductance States in TaOx Memristors through Oxygen Plasma-Assisted Electrode
Human Brain/Cloud Interface.
Tapping into the brain’s star power No longer just ‘brain glue’, astrocytes are coming to the fore
Astrocytes have a distinctive 3D branching shape.Credit: National Center for Microscopy and Imaging Research, UCSD.In the mid-1850s, German anatomist Rudolf Virchow and others examining brains under the microscope noticed mysterious structures filling the space around and between the neurons that held their interest. Virchow dubbed these structures nervenkitt, literally ‘nerve-glue’, and translated as ‘neuroglia’...
Basic quantum computation achieved with silicon for first time
(Image: Mehau Kulyk/SPL) The ingredients for superfast computers could be nearly in place. For the first time, researchers have demonstrated that two silicon transistors acting as quantum bits can perform a tiny calculation. Now it’s just a question of using these as the building blocks of a larger quantum computer – taking advantage of the very material that is ubiquitous in conventional electronics.
The NOMFET Transistor
Computer Scientists Expand the Frontier of Verifiable Knowledge.
An Ethical Future for Brain Organoids Takes Shape.
Boosting Synaptic Plasticity to Accelerate Learning.
These artificial neurons could replace injured nerves
Modified superconductor synapse reveals exotic electron behavior September 18, 2018, Joint Quantum
JQI researchers modified a Josephson junction to include a sliver of topological crystalline insulator (TCI). Using this circuit, they detected signs of exotic quantum states lurking on the TCI's surface. Credit: E. Edwards/JQI Read more at: https://phys.org/news/2018-09-superconductor-synapse-reveals-exotic-electron.html#jCp...
Ultra-thin memory storage device paves way for more powerful computing
A high-performance, low-energy artificial synapse for neural network computing February 21, 2017 by
High-speed quantum memory for photons September 8, 2017
IBM scientists imitate the functionality of neurons with a phase-change device August 3, 2016
An artistic rendering of a population of stochastic phase-change neurons which appears on the cover of Nature Nanotechnology, 3 August 2016. IBM scientists have created randomly spiking neurons using phase-change materials to store and …more Read more at: http://phys.org/news/2016-08-ibm-scientists-imitate-functionality-neurons.html#jCp
Organic Core-sheath Nanowire Artificial Synapses With Femtojoule Energy Consumption.
Fig. 1 Schematic of biological neuronal network and an ONW ST that emulates a biological synapse. The conductive lines and probe (A′) mimic an axon (A) that delivers presynaptic spikes from a preneuron to the presynaptic membrane. The mobile ions in the ion gel move in the electrical field analogous to the neuron transmitters in …
Interconnected single atoms could make a ‘quantum brain’ 07 Mar 2021 Isabelle Dumé
Proposed quantum nano-MRI could generate images with angstrom-level resolution December 1, 2016 by
DARPA-funded efforts in the development of novel brain–computer interface technologies
This is What Happens When Deep Learning Neural Networks Hallucinate
A Reverse Hallucination Technique So the researchers decided to reverse the process, to “turn it upside down” in order to better visualize the network’s inner workings. By giving it free reign and asking it to interpret and “enhance an input image in such a way as to elicit a particular interpretation,” they were hoping to get more insight into what trained features the networks understood and what they did not.
Quantum Mechanics could be responsible for photosynthesis, smell, and knowledge.
Live visualizations of single isolated tubulin protein self-assembly via tunneling
(a). Tubulin molecule (left most). Series of STM images (2 V tip bias 10 pA current) of three protein molecules, they form a perfect linear assembly and stabilize. Scale bar for first four images 3.8 nm, for the last two images (one above another), scale bar is 5 nm. Protofilaments connected (extreme right), scale bar 8 nm. (b). STM images at 2.1 V tip bias 30 pA current, left to right frequencies are noted in Hz, M means mega 106 Hz, G means Giga 109 Hz, scale bar for all images 4 nm. (c).
Ray Kurzweil: In The 2030s, Nanobots In Our Brains Will Make Us ‘Godlike’
Towards a High-Resolution, Implantable Neural Interface.
Lab-grown ‘mini brains’ produce electrical patterns that resemble those of premature babies.
A slice through a brain organoid shows more mature cortical neurons on the outer edge of the structure.Credit: Muotri Lab/UC San Diego ‘Mini brains’ grown in a dish have spontaneously produced human-like brain waves for the first time — and the electrical patterns look similar to those seen in premature babies...
Neuromorphic Chip That Simulates Brain Activity Developed by Researchers By Rechelle Ann Fuertes -
MIT Researchers have reportedly Designed a Neuromorphic Chip that behaves like real Human Brain cell connections. While experts have made significant progress in the field of Artificial Intelligence in recent years, replicating Human Brain activity is still a major hurdle to true (AI). But things might change now that researchers from the Massachusetts Institute of Technology have been ...
Researchers build artificial synapse capable of autonomous learning
Researchers from France and the University of Arkansas have created an artificial synapse capable of autonomous learning, a component of artificial intelligence. The discovery opens the door to building large networks that operate in ways similar to the human brain. Read more at: https://phys.org/news/2017-04-artificial-synapse-capable-autonomous.html#jCp
How humans evolved supersize brains.
Brains May Teeter Near Their Tipping Point.
Un experimento ‘in vitro’ nos acerca a desentrañar algunos misterios del cerebro.
De hecho, un grupo formado por investigadores de las universidades de Barcelona (UB) y Tohoku (Sendai, Japón) ha realizado un experimento in vitro que les ha permitido desentrañar un poco más el misterio de la gran flexibilidad del cerebro para conectar y desconectar rápidamente diferentes regiones..