Table 2.

Parameters that were modified from the fitted neuron model

Models varying degree of input selectivity
None
k _i,com, response input i to com (context)	0.1
k _j,com, response input j to com (context)	0.1
k _i,ech, response input i to ech (context)	0.8
k _j,ech, response input j to ech (context)	0.8
k _i,com, response input i to com (probe)	0.4
k _j,com, response input j to com (probe)	0.4
k _i,ech, response input i to ech (probe)	0.8
k _j,ech, response input j to ech (probe)	0.8
High
k _i,com, response input i to com (context)	0.4
k _j,com, response input j to com (context)	0
k _i,ech, response input i to ech (context)	0
k _j,ech, response input j to ech (context)	2
k _i,com, response input i to com (probe)	0.8
k _j,com, response input j to com (probe)	0
k _i,ech, response input i to ech (probe)	0
k _j,ech, response input j to ech (probe)	1.5
Low
k _i,com, response input i to com (context)	0.1
k _j,com, response input j to com (context)	0.0165
k _i,ech, response input i to ech (context)	0
k _j,ech, response input j to ech (context)	1.5
k _i,com, response input i to com (probe)	0.7
k _j,com, response input j to com (probe)	0.1
k _i,ech, response input i to ech (probe)	0
k _j,ech, response input j to ech (probe)	1.5
Models varying adaptation
None
Δ_th, adaptive threshold increment	0 mV
Δi, s, synaptic decrement input i	0.0
Δj, s, synaptic decrement input j	0.0
Post
Δ_th, adaptive threshold increment	0.25 mV
Δi, s, synaptic decrement input i	0.0
Δj, s, synaptic decrement input j	0.0
Pre
Δ_th, adaptive threshold increment	0 mV
Δi, s, synaptic decrement input i	0.045
Δj, s, synaptic decrement input j	0.040
Post + Pre
Δ_th, adaptive threshold increment	0.25 mV
Δi, s, synaptic decrement input i	0.045
Δj, s, synaptic decrement input j	0.040
Model of a preference for communication neuron
k _i,com, response input i to com (context)	0.15
k _i,com, response input i to com (probe)	1.2
w_i,e, synaptic weight of i	15 nS
w_j,e, synaptic weight of j	9 nS

Post, postsynaptic; Pre, presynaptic.