Capacity of neurons to regulate their own excitability relative to network activity
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In neuroscience, homeostatic plasticity refers to the capacity of neurons to regulate their own excitability relative to network activity. The term homeostatic plasticity derives from two opposing concepts: 'homeostatic' (a product of the Greek words for 'same' and 'state' or 'condition') and plasticity (or 'change'), thus homeostatic plasticity means "staying the same through change". In the nervous system, neurons must be able to evolve with the development of their constantly changing environment while simultaneously staying the same amidst this change. This stability is important for neurons to maintain their activity and functionality to prevent neurons from carcinogenesis. At the same time, neurons need to have flexibility to adapt to changes and make connections to cope with the ever-changing environment of a developing nervous system.[1]
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neuroscience, homeostaticplasticity refers to the capacity of neurons to regulate their own excitability relative to network activity. The term homeostatic plasticity...
In neuroscience, synaptic scaling (or homeostatic scaling) is a form of homeostaticplasticity, in which the brain responds to chronically elevated activity...
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plasticity. This form of plasticity that occurs during development is the result of three predominant mechanisms: synaptic and homeostaticplasticity...
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short form of Homer is considered to be a part of a mechanism of homeostaticplasticity that dampens the neuronal responsiveness when input activity is...
colleagues began to implement neurobiological concepts such as homeostaticplasticity, Hebbian reinforcement learning, and hormone feedback into their...
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Tara Keck (fl. 2000s), neuroscientist investigating synaptic and homeostaticplasticity in the neocortex Diane Lipscombe (born 1960), professor of neuroscience...
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facilitate the survival of one's self and offspring, and they include homeostatic (e.g., palatable food) and reproductive (e.g., sexual contact and parental...
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