Приклади вживання Neurons can Англійська мовою та їх переклад на Українською
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But these neurons can misfire.
Neurons can connect with one another through small regions in the brain called synapses.
These are the points at which two neurons can transmit signals to one another.
Neurons can form new connections, but in certain areas of the brain they can also multiply and increase in number.
Each connection(synapse) between neurons can transmit a signal to another neuron. .
Your neurons can easily make new connections when they have been asked to revisit and analyze new information instead of passively observing it.
Each connection(synapse) between neurons can transmit a signal from one to another.
A neurotransmitter is discharged from axon terminal after an action potential has reached the synapse,an area in which neurons can transmit signal to each other.
This means that an RBF network with enough hidden neurons can approximate any continuous function on a closed, bounded set with arbitrary precision.
So it is simply assumed to be the case that a pain(sensation or feeling) exists in a brain, and that unconscious,insentient neurons can cause a conscious mental state of pain to exist.
Neurons can recycle neurotransmitters by reabsorbing them through reuptake, a process that allows them to precisely control the amounts of neurotransmitters in the synapse.
Each connection(similar to a synapse) between artificial neurons can transmit a signal from one to the other.
Muscle cells, like neurons, can be excited chemically, electrically, and mechanically to produce an action potential that is transmitted along their cell membranes.
If something damages a person's brain(such as a stroke or injury), the neurons can make new communication route around the damaged area.
Ketone Bodies These neurons can utilize the ketone bodies both as an energy source(replacing and therefore relieving glucose) and as a precursor to GABA, a critical neurotransmitter that is widespread in the brain.
The structure of your brain and the synaptic connections between your neurons can grow stronger or weaker based on your habitual patterns.
I speculated that these neurons can not only help simulate other people's behavior but can be turned'inward'- as it were- to create second-order representations or meta-representations of your own earlier brain processes.
Our technique has given us a window into thepast to see how well dopamine neurons can work from the beginning of a patient's life.
In a previous Edge essay I also speculated that these neurons can not only help simulate other people's behavior but can be turned"inward"- as it were- to create second-order representations or metarepresentations of your own earlier brain processes.
In most cases, a neurotransmitter is released from what's known as the axon terminal after an action potential has reached the synapse,a place where neurons can transmit signals to each other.
We have some 100 billion neurons in our brains, and those neurons can make 100 trillion connections, which certainly outstrip any computer today.
Given certain mild conditions on the shape of the activation function, RBF networks are universal approximators on a compact subset of R n{\displaystyle\mathbb{R}^{n}}.[4]This means that an RBF network with enough hidden neurons can approximate any continuous function on a closed, bounded set with arbitrary precision.
Each neuron can have thousands of synapses with thousands of other neurons. .
And each neuron can have up to 10,000 connections with other neurons. .
A neuron can have several dendrites and usually only one axon.
Surprisingly, additional neurons could survive and form new contacts with neighbouring cells in the brain of old mice.
Magrassi and his colleagues wanted to know whether neurons could outlive the organisms in which they live(barring degenerative diseases like Alzheimer's).
The receiving(postsynaptic) neuron can process the signal(s) and then signal downstream neurons connected to it.
One neuron can be connected to so many other neurons, because there can be synapses at these points of contact.
Signals coming into a neuron can be positive(excitatory) or negative(inhibitory).