-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathREADME.html
More file actions
46 lines (34 loc) · 2.24 KB
/
README.html
File metadata and controls
46 lines (34 loc) · 2.24 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
<html><pre>
This is the readme for the Brian code associated with the paper:
Y Sweeney, J Hellgren-Kotaleski, and M Hennig (2015).
A diffusive homeostatic signal maintains neural heterogeneity and
responsiveness in cortical networks. PLoS Comp. Biol. DOI:
10.1371/journal.pcbi.1004389
An up-to-date version of the code may be found at
<a href="https://github.com/yannaodh/sweeney-2015">https://github.com/yannaodh/sweeney-2015</a>
To see the code used to implement the numerical diffusion method, see
code/diffusion_minimal_example.py . Brief instructions on how to
include this in an existing brian model are contained within.
To see a simplified python script containing a spiking network model
with diffusive homeostasis implemented (written in brian) see
code/network_minimal_example.py .
To generate the data for each figure run the run_simulations_figX.py
script from command line using 'python run_simulations_figX.py', where
X is the figure number. A lot of text output will be created showing
the progress. You will need to be in the same directory as the
'network_simulation.py' file, and other .py files.
Python with numpy (<a href="http://www.numpy.org/">http://www.numpy.org/</a>) and the brian simulator
(<a href="http://www.briansimulator.org">http://www.briansimulator.org</a>) will need to be installed. These scripts were
tested on a machine with OSX 10.10, Python v2.7.10, numpy v1.9.2, and
brian v1.4.1
IPython Notebook (http://ipython.org/notebook.html) will be required in order to interact with the IPython Notebooks containing the plots.
As the simulations can take quite a long time to run (several hours on
a multicore machine) and the resulting datafiles are quite large (~1
GB total), sample data generated from the code are provided for each
figure and may be downloaded from figshare.
Figure 1: <a href="http://dx.doi.org/10.6084/m9.figshare.1454450">http://dx.doi.org/10.6084/m9.figshare.1454450</a>
Figure 4: <a href="http://dx.doi.org/10.6084/m9.figshare.1454455">http://dx.doi.org/10.6084/m9.figshare.1454455 </a>
Figure 5: <a href="http://dx.doi.org/10.6084/m9.figshare.1454469">http://dx.doi.org/10.6084/m9.figshare.1454469</a>
For any queries, comments or requests please do not hesitate to
contact me at yann.sweeney@ed.ac.uk.
</pre></html>