Examples of using A neuron in English and their translations into Russian
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Call this simple function a neuron.
It's a picture of a neuron with its dendrite and axon.
The endorphins now move across the synapse to a GABA neuron.
Deciding the way a neuron receives input and produces output.
Multivibrator FitzHugh-Nagumo model- A hysteretic model of, for example, a neuron.
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A neuron that empathizes with the weakest, disadvantaged, needs sufferers.
The messages simultaneously received by a neuron are tallied together in its cell body.
This mechanism may be a distinct way to control the survival of a neuron.
One of the earliest models of a neuron was first investigated in 1907 by Louis Lapicque.
A neuron of the first layer does not have to be connected to all neurons on the second layer.
To this end, consider a membrane of a neuron in the form of liquid crystal, containing bilayer».
EPSPs and IPSPs compete with each other at numerous synapses of a neuron.
For example, a neuron in V1 may fire to any vertical stimulus in its receptive field.
The fiber optic cables are designed to light up under electrical stimulation, anda protein would be added to a neuron via gene therapy to excite it under light stimuli.
Churchland states that"A neuron, though computationally complex, is just a neuron. .
This rule is based on the idea of continuously modifying the strengths of the input connections to reduce the difference(the delta) between the desired output value andthe actual output of a neuron.
At the same time, it is known that a neuron together with excitatory impulses receives also inhibitory stimulation.
A neuron receives input from many neurons, but produce a single output, which is communicated to other neurons. .
Electronic analog of a neuron in a new computer can perform membrane devices- special resistors, capacitors and coils.
Principles of constructing hybrid architectures of iterative GMDH algorithms as a generalization of algorithmic structures of multilayered, relaxational and combinatorial types, based on which a generalized iterative algorithm GIA GMDH[7]was developed as a neural network with active neurons in the form of the COMBI algorithm for automatic adjustment of a neuron complexity.
A neuron within a layer has excitatory connections to itself and its immediate neighbors, and has inhibitory connections to other neurons. .
Author, based on the well-known Hidena studies on the role of RNA in neurons, as the substrate of learning, wrote: a"neuron, apparently, is a repository of information, contained in the spectrum of electro-acoustic fluctuations in FPU return structure of RNA molecules, electrolyte in solution as well as intracellular fluid neuron. .
Although a neuron requires energy, its main function is to receive signals and to send them out that is, to handle information."--- this words by Francis Crick point at the necessity to describe neuronal functioning in terms of processing of abstract signals The two abstract concepts, namely.
We understand how a signal from a neuron is transferred from one point to another, but alas, we are still a long way off from understanding the entire complex array of neurons that we have in our cerebral cortex.
Image of a neuron, VCH-cobalt, of a bumblebee("Blowfly") female, situated in its visual lobe, that has been treated with visualization software to segment neuron model based on various parameters.
In other words,if the life cycle of a neuron be divided into seven units, only within one unit of time neuron will be the most active, that is, will"work" at the peak of opportunities, and six units of time he needs to relax and rejuvenate.
Depolarization of a neuron containing prodynorphin stimulates PC2 processing, which occurs within synaptic vesicles in the presynaptic terminal.
This basic rule is: If a neuron receives an input from another neuron, and if both are highly active(mathematically have the same sign), the weight between the neurons should be strengthened.
The structure of a neuron, the basic brain element, the very substrate for long-term memory, can be represented in the following manner: soma(the cell body), dendrites(cellular extension accepting incoming electric pulses) and axon.