Biomedical Engineering Reference
In-Depth Information
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building internally analog and externally
Boolean oscillatory neural networks with
self-timing and potentially suitable to very
large scale implementations.
proaches such as group theory (Golubitsky
et al., 1998; 1988).
Model Effectiveness
3.
Temporal and spatial domains of the biologi-
cal rhythmic patterns are integrated into a
generalised, distributed updating control
strategy for scalable parallel implementa-
tions. Consistency aspects of SMER-driven
systems with dynamic topologies are ac-
commodated.
Although the direct physiological proof of ex-
istence
of CPGs is scarce, many
scientists have
demonstrated its plausibility. The clinical gait
analysis is, for instance, one of the most inves-
tigated topics in the medical studies all over the
world. As a research result, it is well established
that the centre of pressure (CoP) weaves about
the centre of mass (CoM) when a person is
standing statically. Due to the conduction delays
from CNS to the leg musculature, a phase delay
between CoM and CoP should be detectable if
a central control process is active (Winter et al.,
4.
Numerical simulations have demonstrated
the efficiency of the model on the retrieval
of biological rhythmic patterns. A com-
plete procedure, from both theoretical and
practical aspects, is illustrated. Results are
consistent with related mathematical ap-
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