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-
-For the paper:
-
-Platkiewicz J, Brette R (2011) Impact of fast sodium channel
-inactivation on spike threshold dynamics and synaptic
-integration. PLoS Comput Biol 7:e1001129-78
-
-Abstract:
-
-Neurons spike when their membrane potential exceeds a threshold
-value. In central neurons, the spike threshold is not constant but
-depends on the stimulation. Thus, input-output properties of neurons
-depend both on the effect of presynaptic spikes on the membrane
-potential and on the dynamics of the spike threshold. Among the
-possible mechanisms that may modulate the threshold, one strong
-candidate is Na channel inactivation, because it specifically impacts
-spike initiation without affecting the membrane potential. We
-collected voltage-clamp data from the literature and we found, based
-on a theoretical criterion, that the properties of Na inactivation
-could indeed cause substantial threshold variability by itself. By
-analyzing simple neuron models with fast Na inactivation (one channel
-subtype), we found that the spike threshold is correlated with the
-mean membrane potential and negatively correlated with the preceding
-depolarization slope, consistent with experiments. We then analyzed
-the impact of threshold dynamics on synaptic integration. The
-difference between the postsynaptic potential (PSP) and the dynamic
-threshold in response to a presynaptic spike defines an effective
-PSP. When the neuron is sufficiently depolarized, this effective PSP
-is briefer than the PSP. This mechanism regulates the temporal window
-of synaptic integration in an adaptive way. Finally, we discuss the
-role of other potential mechanisms. Distal spike initiation, channel
-noise and Na activation dynamics cannot account for the observed
-negative slope-threshold relationship, while adaptive conductances
-(e.g. K+) and Na inactivation can. We conclude that Na inactivation is
-a metabolically efficient mechanism to control the temporal resolution
+# For the paper:
+
+Platkiewicz J, Brette R (2011) Impact of fast sodium channel
+inactivation on spike threshold dynamics and synaptic
+integration. *PLoS Comput Biol* 7:e1001129-78
+
+## Abstract:
+
+Neurons spike when their membrane potential exceeds a threshold
+value. In central neurons, the spike threshold is not constant but
+depends on the stimulation. Thus, input-output properties of neurons
+depend both on the effect of presynaptic spikes on the membrane
+potential and on the dynamics of the spike threshold. Among the
+possible mechanisms that may modulate the threshold, one strong
+candidate is Na channel inactivation, because it specifically impacts
+spike initiation without affecting the membrane potential. We
+collected voltage-clamp data from the literature and we found, based
+on a theoretical criterion, that the properties of Na inactivation
+could indeed cause substantial threshold variability by itself. By
+analyzing simple neuron models with fast Na inactivation (one channel
+subtype), we found that the spike threshold is correlated with the
+mean membrane potential and negatively correlated with the preceding
+depolarization slope, consistent with experiments. We then analyzed
+the impact of threshold dynamics on synaptic integration. The
+difference between the postsynaptic potential (PSP) and the dynamic
+threshold in response to a presynaptic spike defines an effective
+PSP. When the neuron is sufficiently depolarized, this effective PSP
+is briefer than the PSP. This mechanism regulates the temporal window
+of synaptic integration in an adaptive way. Finally, we discuss the
+role of other potential mechanisms. Distal spike initiation, channel
+noise and Na activation dynamics cannot account for the observed
+negative slope-threshold relationship, while adaptive conductances
+(e.g. K+) and Na inactivation can. We conclude that Na inactivation is
+a metabolically efficient mechanism to control the temporal resolution
of synaptic integration.
Brian simulator models are available at this web page:
-http://briansimulator.org/docs/examples-frompapers_Platkiewicz_Brette_2011.html
+[http://briansimulator.org/docs/examples-frompapers_Platkiewicz_Brette_2011.html](http://briansimulator.org/docs/examples-frompapers_Platkiewicz_Brette_2011.html)
The simulation generates images similar to Fig. 5E,F in the paper:
-
+
-This simulation requires Brian which can be downloaded and installed
-from the instructions available at http://www.briansimulator.org/
+This simulation requires Brian which can be downloaded and installed
+from the instructions available at [http://www.briansimulator.org/](http://www.briansimulator.org/)
-For support on installing and using Brian simulations there is a
-support group at https://groups.google.com/group/briansupport.
-
+For support on installing and using Brian simulations there is a
+support group at [https://groups.google.com/group/briansupport](https://groups.google.com/group/briansupport).
+
+---
+
+2025-07-09: Converted README to Markdown.