Understanding how species-typical movement patterns are organized in the ne
rvous system is a central question in neurobiology. The current explanation
s involve 'alphabet' models in which an individual neuron may participate i
n the circuit for several behaviors but each behavior is specified by a spe
cific neural circuit. However, not all of the well-studied model systems fi
t the 'alphabet' model. The 'equation' model provides an alternative possib
ility, whereby a system of parallel motor neurons, each with a unique (but
overlapping) field of innervation, can account for the production of stereo
typed behavior patterns by variable circuits. That is, it is possible for s
uch patterns to arise as emergent properties of a generalized neural networ
k in the absence of feedback, a simple version of a 'self-organizing' behav
ioral system. Comparison of systems of identified neurons suggest that the
'alphabet' model may account for most observations where CPGs act to organi
ze motor patterns. Other well-known model systems, involving architectures
corresponding to feed-forward neural networks with a hidden layer, may orga
nize patterned behavior in a manner consistent with the 'equation' model. S
uch architectures are found in the Mauthner and reticulospinal circuits, 'e
scape' locomotion in cockroachs, CNS control of Aplysia gill, and may also
be important in the coordination of sensory information and motor systems i
n insect mushroom bodies and the vertebrate hippocampus. The hidden layer o
f such networks may serve as an 'internal representation' of the behavioral
state and/or body position of the animal, allowing the animal to fine-tune
oriented, or particularly context-sensitive, movements to the prevalent co
nditions. Experiments designed to distinguish between the two models in cas
es where they make mutually exclusive predictions provide an opportunity to
elucidate the neural mechanisms by which behavior is organized in vivo and
in vitro. Copyright (C) 2000 S. Karger AG, Basel.