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. Author manuscript; available in PMC: 2015 Jan 12.
Published in final edited form as: Neural Comput. 2013 Sep 18;25(12):3263–3293. doi: 10.1162/NECO_a_00521

Table 1.

Connectivity Parameters.

Pre Post p Conv W Pre Post p Conv W
P ES 0.11250 22 15.0000 ES ES 0.05625 11 * 1.3200
ES IS 0.48375 93 * 1.9550 ES ILS 0.57375 110 * 0.9775
ES EM 0.09000 17 * 1.7600 IS ES 0.49500 22 4.5000
IS IS 0.69750 31 4.5000 IS ILS 0.38250 17 4.5000
ILS ES 0.39375 8 1.2450 ILS IS 0.59625 12 2.2500
ILS ILS 0.10125 2 4.5000 EM ES 0.01913 4 * 0.4800
EM EM 0.05625 11 * 1.1880 EM IM 0.48375 93 * 1.9550
EM ILM 0.57375 110 * 0.9775 IM EM 0.49500 22 9.0000
IM IM 0.69750 31 4.5000 IM ILM 0.38250 17 4.5000
ILM EM 0.39375 8 2.4900 ILM IM 0.59625 12 2.2500
ILM ILM 0.10125 2 4.5000

Notes: Area (Pre: presynaptic type; Post: postsynaptic type) interconnection probabilities (p), convergence (Conv), and starting weights (W). An asterisk next to W represents a plastic connection modified during learning. p is the probability of a connection being included among all possible connections between the two areas. Conv is the number of in puts each cell of type Post receives from type Pre. E cells used AMPA and NMDA synapses (NMDA, not displayed, had weights set at 10% of the colocalized AMPA synapse).