Bio-Inspired Computing and Networking

Attractor Selection as Self-Adaptive Control Mechanism

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in their model, the growth rate of the cell α is obtained from the metabolic flux in

the cell caused by the current expression level in the on/off type of gene regulation.

dx

i

dt

=

⎡

⎣

f

⎛

⎝

M



j=1

w

ij

x

j

⎞

⎠

−x

i

⎤

⎦

α(x, y) + η

i

i = 1, ..., M (14.12)

The weights are discrete values w

ij

∈

{

−1, 0, 1

}

depending on whether protein

i either inhibits, is neutral to, or activates protein j,andf is a sigmoid activation

function. The focus of Furusawa and Kaneko [10] is on the investigation of the

cell growth dynamics. In their experiments, Furusawa and Kaneko used M =96

and randomly selected weights w

ij

with positive autoregulatory ...