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. Author manuscript; available in PMC: 2011 Oct 13.
Published in final edited form as: Philos Trans A Math Phys Eng Sci. 2011 Oct 13;369(1952):3820–3839. doi: 10.1098/rsta.2011.0126

Table 2. Parameters of the synaptic models.

Layer 4 Intrinsically
Active
Neuron
Layer 6 Interneuro
n
TC NRT

Layer 4

-

A:(20,1.0)

N:(3,1.6)
A:(2,2.5)

-

-

-
Intrinsically
Active
Neuron

-

N:(3,1.4)

N:(14,1.6)
A:(10,2.5)

N:(5,1.6)
A:(20,2.5)

-

-

Layer 6
N:(30,1.6)
A:(10,2.5)
N:(3,1.6)
A:(10,2.5)

-
N:(6,1.6)
A:(8,2.5)
A:(7,0.2)
mG:(20,5.0)
A:(10,0.24)
mG:(25,5.0
)
Interneuron G:(10,1.14
)
G:(7,1.14) G:(18,1.17
)
- - -

TC

A:(20,1.4)

-

-

-

-

A:(10,1.4)

NRT

-

-

-

-

G:(10,0.4)

G:(19,1.17)
(aff. 1) - A:(20,2.5) - - - -
aff. 2 - - - - A:(20,2.5) -

The rows show the neurone pool from where the synapses originate, the columns where they converge, while symbols indicate the type of receptor at a given synapse (N: NMDA; A: AMPA; G: GABAA; mG: mGlu). Values in brackets represent the number of synapses and their unitary conductance, respectively. (-) indicates the lack of connection between two neuron pools. All conductances are expressed in nS, except for mGlu which is expressed as an amplification factor (see text for details).