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. 2016 Jan 7;6:18854. doi: 10.1038/srep18854

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Copyright © 2016, Macmillan Publishers Limited

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(a) Connectivity in an example network. (b) YALE format sparse representation of the network shown in (a). For the pre-synaptic neuron, gives the index of the starting point in the arrays that store the postsynaptic neuron index , and other variables, e.g. . The pre-synaptic neuron makes connections with the postsynaptic population. The index of the postsynaptic neuron that is connected to pre-synaptic neuron is stored in , and a synapse variable for the pre-synaptic and post-synaptic neuron pair are stored in . (c) Dense representation for the same network. n stands for number of elements, is number of pre-synaptic neurons, is number of post-synaptic neurons, is the total number of connections in the synapse population.

Inline graphic — (a) Connectivity in an example network. (b) YALE format sparse representation of the network shown in (a). For the pre-synaptic neuron, gives the index of the starting point in the arrays that store the postsynaptic neuron index , and other variables, e.g. . The pre-synaptic neuron makes connections with the postsynaptic population. The index of the postsynaptic neuron that is connected to pre-synaptic neuron is stored in , and a synapse variable for the pre-synaptic and post-synaptic neuron pair are stored in . (c) Dense representation for the same network. n stands for number of elements, is number of pre-synaptic neurons, is number of post-synaptic neurons, is the total number of connections in the synapse population.