Gaussian growth curves modulate the rate of turnover of synaptic elements () in a neuron as a function of its [ Ca 2+ ].
2021
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Zugriff:
( A ) Excitatory: Blue; Inhibitory: Red; All neurons possess excitatory and inhibitory post-synaptic elements () but excitatory and inhibitory neurons can only bear excitatory and inhibitory pre-synaptic elements, respectively (); ( B ) and ( C ). Example Gaussian growth curves. Constants η and ϵ control the width and positioning of the growth curve on the x-axis. ω (see Eq 1 ) controls the positioning of the growth curve on the y-axis. ν (see Eq 1 ) is a scaling factor. ψ is the optimal [ Ca 2+ ] for the neuron. The minimum and maximum values of dz / dt can be analytically deduced to be − νω and ν (2 − ω ) respectively (see Methods ). The relationship between η , ϵ , and ψ regulates the activity dependent dynamics of neurites. ( B ) ψ = η = 5.0, ϵ = 15.0, ν = 1.0, ν = 1.0, − νω = −1.0, ν (2 − ω ) = 1.0 (see Methods ). Here, new neurites are formed when the neuronal activity exceeds the required level and removed when it falls below it. ( C ) η = 5.0, ψ = ϵ = 15.0, ν = 1.0, ω = 0.001, − νω = −0.001, ν (2 − ω ) = 1.999 (see Methods ). Here, the growth curve is shifted up along the y-axis by decreasing the value of ω . New neurites are formed when the neuronal activity is less than the homeostatic level and removed (at a very low rate) when it exceeds it.
Titel: |
Gaussian growth curves modulate the rate of turnover of synaptic elements () in a neuron as a function of its [ Ca 2+ ].
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Autor/in / Beteiligte Person: | Ankur Sinha (10906249) ; Christoph Metzner (10906252) ; Neil Davey (10906255) ; Roderick Adams (10906258) ; Michael Schmuker (17095) ; Volker Steuber (8909966) |
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Veröffentlichung: | 2021 |
Medientyp: | Bild |
DOI: | 10.1371/journal.pcbi.1008996.g002 |
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