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What is the primary function of the neural spine of the lumbar vertebra?
Attachment of the ligaments that hold the vertebrae together and the muscles that move them
Is whale neural spine large or small?
SMALL
What is narrowing of Neural Foramina?
Narrowing of the neural foramina is the constriction of the nerve passageways, or foramina, in the spine. This results in compression of the nerve.
What does bilateral neural foramina mean?
The holes on the left and right side of the spinal cord that the nerves are protected in from top of spine to lower spine.
What is patent neural foramina?
Foramina are openings. Neural foramina patent bilaterally just means that the openings in the spine are open, and allow the nerves to pass through normally...
What are the types of neural network?
We can classify neural networks in several groups according to following criteria:Perceptron networksNumber od layers:single layer neural networksmultiple layer neural networksDirection of signal propagation:forward propagationrecurentOther structuresKohonen networksHopfield networksOther typesRadial Basis Function networksOrtogonal activating function neural networksmany others... see wikipedia
What is the function of the pelvic bone?
The function of the pelvis is to hold your legs and spine up.
What is the function spine?
the protection of thespinalcord
What does neural foramina appear patent?
When neural foramina appear patent, it means that they are open and not blocked or narrowed. This allows for proper passage of nerves and blood vessels through the spaces in the spine, preventing compression and preserving function. It is important for maintaining nerve health and preventing symptoms such as pain and weakness.
Neural foramina are patent bilaterally What is meant by patent bilaterally?
Foramina are openings. Neural foramina patent bilaterally just means that the openings in the spine are open, and allow the nerves to pass through normally...
What is the function of neural arches?
They act as the hearts of annelids (segmented worms)
What are the advantages of sigmoidal function in neural network?
its derivative is easy to compute
