This is the readme for the models for the paper:

Justus D, Dalugge D, Bothe S, Fuhrmann F, Hannes C, Kaneko H,
Friedrichs D, Sosulina L, Schwa (2017) Glutamatergic synaptic
integration of locomotion speed via septoentorhinal projections.
Nat Neurosci 20:16-19

This NEURON code was contributed by Daniel Justus.

The NEURON simulation environment is freely available from">

These models simulate the integration of glutamatergic
septo-entorhinal input by MEC pyramidal cells, stellate cells and
fast-spiking interneurons.


Auto-launch from ModelDB or download and extract this archive, compile
the mod files. For more help see

To run the simulations use init.hoc and choose the parameters and type
of simulation from the GUI:
	(1)	Choose the cell-type
	(2)	Simulate the somatic injection of a given current
		Simulate single or rhythmic EPSPs to evaluate kinetics
		and summation (Supplementary Fig. 11a,b).  As an
		example: Pressing the "Repeated EPSP" button will
		generate the inset 11a trace
screenshot 2
and prints on the oc> prompt:
3 Hz
avg depolarization = 1.3253572 
last/first = 0.82199361 
second/first = 0.84701885 

6 Hz
avg depolarization = 2.0933216 
last/first = 0.64998273 
second/first = 0.7814406 

9 Hz
avg depolarization = 2.5237946 
last/first = 0.59448942 
second/first = 0.86925789 

12 Hz
avg depolarization = 2.7927493 
last/first = 0.57942791 
second/first = 0.99281808 


The second/first values corresponds to the blue py trace in Suppl. Fig
screenshot 3

		Simulate the realistic speed-tuned glutamatergic input
                recorded from neurons in the MSBD using tetrodes as
                stored in the folder "data" (Fig. 3d-f, Supplementary
                Fig. 11c-m).
		The strength of this speed tuned input relative to
		randomly distributed input modeled by a Poisson
		process can be adjusted using the slider.