Jw. Fost et Ga. Clark, MODELING HERMISSENDA .2. EFFECTS OF VARIATIONS IN TYPE-B CELL EXCITABILITY, SYNAPTIC STRENGTH, AND NETWORK ARCHITECTURE, Journal of computational neuroscience, 3(2), 1996, pp. 155-172
Because the Hermissenda eye is relatively simple and its cells well ch
aracterized, it provides an attractive preparation for detailed comput
ational analysis. To examine the neural mechanisms of learning in this
system, we developed multicompartmental models of the type-A and type
-B photoreceptors, simulated the eye, and asked three questions: First
, how do conductance changes affect cells in a network as compared wit
h those in isolation; second, what are the relative contributions of i
ncreases in B-cell excitability and synaptic strength to network outpu
t; and third, how do these contributions vary as a function of network
architecture? We found that reductions in the type-B cells of two Kcurrents, I-A and I-C, differentially affected the type-B cells themse
lves, with I-C reductions increasing firing rate (excitability) in res
ponse to light, and I-A reductions increasing quantal output (synaptic
strength) onto postsynaptic targets. Increases in either type-B cell
excitability or synaptic strength, induced directly or indirectly, eac
h suppressed A-cell photoresponses, and the combined effect of both ch
anges occurring together was greater than either alone. To examine the
effects of network architecture, we compared the full network with a
simple feedforward B-A pair and intermediate configurations. Compared
with a feedforward pair, the complete network exhibited greater A-cell
sensitivity to B-cell changes. This was due to many factors, includin
g an increased number of B-cells (which increased B-cell impact on A-c
ells), A-B feedback inhibition (which slowed both cell types and alter
ed spike timing relationships), and B-B lateral inhibition (which redu
ced B-cell sensitivity to intrinsic biophysical modifications). These
results suggest that an emergent property of the network is an increas
e both in the rate of information acquisition (''learning'') and in th
e amount of information that can be stored (''memory'').