scholarly journals Ability of Computers to Process Information Faster than Human Brain

2021 ◽  
Vol 9 (9) ◽  
pp. 1981-1982
Author(s):  
Harshith Paidakula
Keyword(s):  
Human Brain ◽  
Process Information

The Digital Mind

2017 ◽  
Author(s):  
Arlindo Oliveira
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Process Information ◽  
Intelligent Machines ◽  
Complex Information ◽  
Levels Of Detail ◽  
Complex Information Processing ◽  
Processing Information ◽  
Technological Singularity ◽  
Living Organisms

This book addresses the connections between computers, life, evolution, brains, and minds. Digital computers are recent and have changed our society. However, they represent just the latest way to process information, using algorithms to create order out of chaos. Before computers, the job of processing information was done by living organisms, which are nothing more than complex information processing devices, shaped by billions of years of evolution. The most advanced of these information processing devices is the human brain. Brains enable humans to process information in a way unparalleled by any other species, living or extinct, or by any existing machine. They provide humans with intelligence, consciousness and, some believe, even with a soul. Brains also enabled humans to develop science and technology to a point where it is possible to design computers with a power comparable to that of the human brain. Machine learning and artificial intelligence technologies will one day make it possible to create intelligent machines and computational biology will one day enable us to model, simulate, and understand biological systems and even complete brains, with unprecedented levels of detail. From these efforts, new minds will eventually emerge, minds that will emanate from the execution of programs running in powerful computers. These digital minds may one day rival our own, become our partners, and replace humans in many tasks. They may usher in a technological singularity, may make humans obsolete or even a threatened species. They make us super-humans or demi-gods.

Spatiotemporal Dynamics of Human Cognition

Physiology ◽  
1999 ◽  
Vol 14 (5) ◽  
pp. 206-214 ◽  
Author(s):  
Christoph M. Michel ◽  
Margitta Seeck ◽  
Theodor Landis
Keyword(s):  
Neural Network ◽  
Human Brain ◽  
Time Resolution ◽  
Large Scale ◽  
Evoked Potential ◽  
Temporal Dynamics ◽  
Spatiotemporal Analysis ◽  
Spatiotemporal Dynamics ◽  
Human Cognition ◽  
Process Information

It is still largely unknown how the complex cortical neural network of the human brain can process information so rapidly. Multichannel evoked potential recordings with millisecond time resolution and spatiotemporal analysis methods now allow us to address this question and to unravel the temporal dynamics of the large-scale neurocognitive networks.

Artificial NeuroGlial Networks

2011 ◽  
pp. 167-171 ◽  
Author(s):  
Ana Belén Porto Pazos ◽  
Alberto Alvarellos González ◽  
Félix Montañés Pazos
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Human Brain ◽  
Classification Problems ◽  
Multilayer Networks ◽  
Process Information ◽  
Feed Forward ◽  
Complex Problems ◽  
Artificial Neural ◽  
The Brain

More than 50 years ago connectionist systems (CSs) were created with the purpose to process information in the computers like the human brain (McCulloch & Pitts, 1943). Since that time these systems have advanced considerably and nowadays they allow us to resolve complex problems in many disciplines (classification, clustering, regression, etc.). But this advance is not enough. There are still a lot of limitations when these systems are used (Dorado, 1999). Mostly the improvements were obtained following two different ways. Many researchers have preferred the construction of artificial neural networks (ANNs) based in mathematic models with diverse equations which lead its functioning (Cortes & Vapnik, 1995; Haykin, 1999). Otherwise other researchers have pretended the most possibly to make alike these systems to human brain (Rabuñal, 1999; Porto, 2004). The systems included in this article have emerged following the second way of investigation. CSs which pretend to imitate the neuroglial nets of the brain are introduced. These systems are named Artificial NeuroGlial Networks (ANGNs) (Porto, 2004). These CSs are not only made of neuron, but also from elements which imitate glial neurons named astrocytes (Araque, 1999). These systems, which have hybrid training, have demonstrated efficacy when resolving classification problems with totally connected feed-forward multilayer networks, without backpropagation and lateral connections.

Synaptic Transistors with Human Brain-Like fJ Energy Consumption via Double Oxide Semiconductors Engineering for Neuromorphic Electronics

2021 ◽  
Author(s):  
Seong-In Cho ◽  
Jae Bum Jeon ◽  
Joo Hyung Kim ◽  
Seunghee Lee ◽  
Wooseok Jeong ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Human Brain ◽  
Low Power ◽  
Low Power Consumption ◽  
Next Generation ◽  
Process Information ◽  
Oxide Semiconductors ◽  
Double Oxide ◽  
Significant Attention

Neuromorphic devices that mimic a human brain have attracted significant attention in the field of next-generation semiconductors. The human brain can efficiently process information with low power consumption. Several energy...

Language processing is not a race against time

2016 ◽  
Vol 39 ◽  
Author(s):  
Giosuè Baggio ◽  
Carmelo M. Vicario
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Language Processing ◽  
Cognitive Functions ◽  
Memory Systems ◽  
Language System ◽  
Moderating Factors

AbstractWe agree with Christiansen & Chater (C&C) that language processing and acquisition are tightly constrained by the limits of sensory and memory systems. However, the human brain supports a range of cognitive functions that mitigate the effects of information processing bottlenecks. The language system is partly organised around these moderating factors, not just around restrictions on storage and computation.

Structural and Chemical Studies of Pathological Fibers in Human Neurofibrillary Degeneration

1985 ◽  
Vol 43 ◽  
pp. 726-729
Author(s):  
K.S. Kosik ◽  
L.K. Duffy ◽  
S. Bakalis ◽  
C. Abraham ◽  
D.J. Selkoe
Keyword(s):  
Monoclonal Antibodies ◽  
Alzheimer Disease ◽  
Human Brain ◽  
Neurofibrillary Tangles ◽  
Morphological Analysis ◽  
High Specificity ◽  
Cytoskeletal Proteins ◽  
Neuritic Plaque ◽  
Protein Chemistry ◽  
Chemical Studies

The major structural lesions of the human brain during aging and in Alzheimer disease (AD) are the neurofibrillary tangles (NFT) and the senile (neuritic) plaque. Although these fibrous alterations have been recognized by light microscopists for almost a century, detailed biochemical and morphological analysis of the lesions has been undertaken only recently. Because the intraneuronal deposits in the NFT and the plaque neurites and the extraneuronal amyloid cores of the plaques have a filamentous ultrastructure, the neuronal cytoskeleton has played a prominent role in most pathogenetic hypotheses.The approach of our laboratory toward elucidating the origin of plaques and tangles in AD has been two-fold: the use of analytical protein chemistry to purify and then characterize the pathological fibers comprising the tangles and plaques, and the use of certain monoclonal antibodies to neuronal cytoskeletal proteins that, despite high specificity, cross-react with NFT and thus implicate epitopes of these proteins as constituents of the tangles.

Toward a neuroscope: An application of high-performance computing for real-time evaluation of brain function using MRI

1994 ◽  
Vol 52 ◽  
pp. 922-923
Author(s):  
C. S. Potter ◽  
C. D. Gregory ◽  
H. D. Morris ◽  
Z.-P. Liang ◽  
P. C. Lauterbur
Keyword(s):  
Human Brain ◽  
Brain Function ◽  
High Performance ◽  
Complex Signal ◽  
Time Step ◽  
Brain Organization ◽  
Cognitive Studies ◽  
Positron Emission ◽  
Imaging And Spectroscopy ◽  
3D Anatomy

Over the past few years, several laboratories have demonstrated that changes in local neuronal activity associated with human brain function can be detected by magnetic resonance imaging and spectroscopy. Using these methods, the effects of sensory and motor stimulation have been observed and cognitive studies have begun. These new methods promise to make possible even more rapid and extensive studies of brain organization and responses than those now in use, such as positron emission tomography.Human brain studies are enormously complex. Signal changes on the order of a few percent must be detected against the background of the complex 3D anatomy of the human brain. Today, most functional MR experiments are performed using several 2D slice images acquired at each time step or stimulation condition of the experimental protocol. It is generally believed that true 3D experiments must be performed for many cognitive experiments. To provide adequate resolution, this requires that data must be acquired faster and/or more efficiently to support 3D functional analysis.

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