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
http://www.neuron.yale.edu">

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

Usage:
------

Auto-launch from ModelDB or download and extract this archive, compile
the mod files. For more help see 
https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html

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
		or
		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

and prints on the oc> prompt:
...
oc>
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 

oc>
...

The second/first values corresponds to the blue py trace in Suppl. Fig
11a:


		or
		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.