Dentate granule cells have polarised responses to neuromodulators switch spiking behaviour under neuromodulation.

Dentate granule cells have polarised responses to neuromodulators switch spiking behaviour under neuromodulation.

<p><b>A:</b> In control conditions, DGCs strongly adapt their firing. <b>B:</b> Acetylcholine (ACh) increasingly reduces inter-spike-interval (ISI) and abolishes spike adaptation. <b>C:</b> Histamine (HT) reduces spike adaptation but leaves ISI close to cont...

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Main Author: Domenico Guarino (20428000) (author)
Other Authors: Ilaria Carannante (12526456) (author), Alain Destexhe (259217) (author)
Published: 2025
Subjects:
Genetics
Neuroscience
Evolutionary Biology
Science Policy
Biological Sciences not elsewhere classified
yet biologically accurate
electrophysiological properties induced
dimensionality reduction technique
adaptive exponential integrate
switching &# 8221
scaling &# 8221
analyse electrophysiological data
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different neuromodulators remap
brain </ p
altering neuronal excitability
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excitability landscape
data using
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still lack
source python
seven types
readily applicable
published papers
parameters space
parameter space
overlapping clusters
offering experimenters
neuronal activity
neuromodulated conditions
much work
integrative perspective
five neuromodulators
five areas
fire model
extract features
existing behaviour
dynamical regimes
compact description
cohesive picture
based workflow
another species
analyses revealed
adex ).
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Summary:<p><b>A:</b> In control conditions, DGCs strongly adapt their firing. <b>B:</b> Acetylcholine (ACh) increasingly reduces inter-spike-interval (ISI) and abolishes spike adaptation. <b>C:</b> Histamine (HT) reduces spike adaptation but leaves ISI close to control conditions. <b>D:</b> Norepinephrine (NA) has effects of reduced spike adaptation and ISI similar to ACh. <b>E:</b> In the PCA-reduced parameter space, the control (red) and modulated clusters were distinct (Silhouette score ). HT cluster (light green) presents the largest variation along both Principal Component axes, and NA and ACh have similar variations. The parameters most influencing PC1 are related to subthreshold and adaptation properties [Delta_T, b, tau_w], while PC2 is primarily shaped by spiking threshold and reset dynamics [V_th, V_peak, V_reset]. <b>F:</b> All neuromodulators caused a switch in the excitability landscape, shifting the ratio <i>a</i>/<i>g</i><sub><i>L</i></sub> downward and moving the cells from Class II to Class I excitability. Small circles: individual fits; filled symbols with black arrows: condition means and mean Control→Modulated displacement. Dashed line: Bogdanov–Takens boundary. In the inset phase spaces, we have the <i>V</i> (solid) and <i>w</i> (dashed) nullclines, with their intersection representing fixed points. With respect to control (orange), all neuromodulators, except ACh, increase the excitability of the neuron by lowering the slope of the <i>V</i>-nullcline left branch and raising the vertical position (in <i>w</i>) of the <i>V</i>-nullcline vertex. While HT (dark green) and NA (blue) reduce the adaptation rate (lowering the <i>w</i>-nullcline slope), ACh increasingly removes adaptation (captured by the negative <i>w</i> slope) and also lowers the vertex of the <i>V</i>-nullcline.</p>

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