UNAM researchers designed a method for measuring brain connectivity related to knowledge and behavior
Saturday June 18, 2011 Notimex | El Universal23:24
Federico Zertuche Mones mathematician studying brain connectivity with a method partially shaped by electronic circuits, where the behavior of a network of many parts offers a range of functions and lends itself to statistical issue.
The Cuernavaca Unit investigator of the Mathematics Institute of the National Autonomous University of Mexico (UNAM), studying discrete complex dynamic systems, known as neural networks, and uses techniques of statistical physics in the asymptotic mathematical analysis
In their study of brain connectivity is an efficient method, partly shaped by electronic circuits and other scientific disciplines, where the behavior of a network of many parts offers a wide range of features and lends itself to statistical issue.
Zertuche Mones explains that the human brain consists of a complex network of neurons, in the order of 100 billion, and connections that lead to a robust cognitive system.
Abounded that neurons are cells that contain a series receptors called dendrites and receptors have a long termination known as the axon, in turn, has issuers called synapses, which connect to the dendrites of another neuron, and so on.
"The source of human knowledge does not reside in one of these cells or in several, but their synaptic connections, is something that neurophysiologists have understood," explained the academic.
"In fact, in childhood and adolescence that these form the basis of learning, hence the importance of this process early. Mathematical models have been developed from studies of neurophysiologists agree with this," raised .
The robustness of the human brain is such that a person can work even if you have a damaged as a result, for example, a car accident, he said.
He noted that the subject may lose mobility if the affected area is related to that function, but the intellect can keep going, exemplified the physicist graduated from the UNAM, doctor of science from the International School for Advanced Studies in Trieste, Italy and member of the Mexican Academy of Sciences
The Cuernavaca Unit investigator of the Mathematics Institute of the National Autonomous University of Mexico (UNAM), studying discrete complex dynamic systems, known as neural networks, and uses techniques of statistical physics in the asymptotic mathematical analysis
In their study of brain connectivity is an efficient method, partly shaped by electronic circuits and other scientific disciplines, where the behavior of a network of many parts offers a wide range of features and lends itself to statistical issue.
Zertuche Mones explains that the human brain consists of a complex network of neurons, in the order of 100 billion, and connections that lead to a robust cognitive system.
Abounded that neurons are cells that contain a series receptors called dendrites and receptors have a long termination known as the axon, in turn, has issuers called synapses, which connect to the dendrites of another neuron, and so on.
"The source of human knowledge does not reside in one of these cells or in several, but their synaptic connections, is something that neurophysiologists have understood," explained the academic.
"In fact, in childhood and adolescence that these form the basis of learning, hence the importance of this process early. Mathematical models have been developed from studies of neurophysiologists agree with this," raised .
The robustness of the human brain is such that a person can work even if you have a damaged as a result, for example, a car accident, he said.
He noted that the subject may lose mobility if the affected area is related to that function, but the intellect can keep going, exemplified the physicist graduated from the UNAM, doctor of science from the International School for Advanced Studies in Trieste, Italy and member of the Mexican Academy of Sciences
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