proper functioning of the lamprey central pattern generator (cpg) is dependent on which input
Central pattern generator The lamprey has been used as a model for vertebrate CPGs because, while its nervous system has a vertebrate organization, it shares many positive characteristics with invertebrates. When removed from the lamprey, the intact spinal cord can survive for days in vitro. It also has very few neurons and can be easily stimulated to produce a fictive swimming motion indicative of a central pattern generator. As early as 1983, Ayers, Carpenter, Currie and Kinch proposed that there was a CPG responsible for most undulating movements in the lamprey including swimming forward and backward, burrowing in the mud and crawling on a solid surface, that although not surprisingly did not match the activity in the intact animal, nevertheless provided the basic locomotor output.[16] The different movements have been found to be altered by neuromodulators, including serotonin in a study by Harris-Warrick and Cohen in 1985[17] and tachykinin in a study by Parker et al.[18] in 1998. The lamprey model of CPG for locomotion has been important to the study of CPGs. Although Sten Grillner claims that the locomotor network is characterised, a claim that has seemingly been uncritically accepted by the spinal cord locomotor network field, there are in fact many missing details and Grillner cannot provide the evidence he uses to support his claims (Parker 2006).[19][20] A general scheme of the lamprey CPG is now being used in the creation of artificial CPGs. For example, Ijspeert and Kodjabachian used Ekeberg's model for the lamprey to create artificial CPGs and simulate swimming movements in a lamprey-like substrate using controllers based on a SGOCE encoding.[21] Essentially, these are the first steps toward the use of CPGs to code for locomotion in robots. The vertebrate model of CPG has been also developed with both Hodgkin-Huxley formalism,[22] its variants [23] and control system approaches.[24][25] For example, Yakovenko and colleagues have developed a simple mathematical model that describes basic principles proposed by T.G. Brown with integrate-to-threshold units organized with mutually inhibitory connections. This model is sufficient to describe complex properties of behavior, such as different regimes of the extensor- and flexor-dominant locomotion observed during electrical stimulation of the mesencephalic locomotor region (MLR), MLR-induced fictive locomotion.[25]