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Dear Lionel,
You can create two numpy arrays with the list of your pre and
post GIDs (after you have load them from the file created with
MATLAB) and then call a single nest.Connect command.
neurons = nest.Create("iaf_cond_alpha", 100)
pre_neurons = np.array([1, 5, 88, 99, 3]) # IMPORTANT! This
must be a NUMPY ARRAY, not just a list
post_neurons = np.array([2, 6, 6, 2, 85])
nest.Connect(pre_neurons, post_neurons, "one_to_one")
I hope this helps!
Best,
Alberto
Dear Hans,
The "specific function" is a complex function written in Matlab using morphology of the neurons for defining the connectivity between neurons. The output of this function is a file with pre-synapsy and prost-synapsy GIDs.
For the moment, there is not plan to integrate this algorithm in NEST.
My question is in the case where the connection of synapse is defined in a file (GID of input and GIDs of output), what is the best way to load it in NEST and connect the neurons?
Best regard,
Kusch Lionel
On 19/10/2021 22:16, Hans Ekkehard Plesser wrote:
Dear Lionel,_______________________________________________
I assume by "specific function" you mean a function that receives lists of potential source and target neurons and then decides which neuron to connect to which in a mathematical or algorithmic way?
Could you share more information about how your connectivity is defined? If you do not want to share that information on this public mailing list, feel free to send a support request with more details to support@ebrains.eu and mention that it should be routed to me.
Best,
Hans Ekkehard
--
Prof. Dr. Hans Ekkehard Plesser
Head, Department of Data Science
Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway
Phone +47 6723 1560
Email hans.ekkehard.plesser@nmbu.no
Home http://arken.nmbu.no/~plesser
On 18/10/2021, 12:09, "kusch lionel" <lionel.kusch@univ-amu.fr> wrote:
Dear all,
In my working group, we are working on the creation of the spiking
neural network of human CA1 (4.8 million neurons). We are using a
specific function for defining the connection between the neurons. This
function gives us 30 billion pairwise connections.
We would like to know what the most efficient for the creating the
network in NEST 3 using this pairwise connectivity.
Thank you in advance for your answer,
Kusch Lionel
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