MOLECULES AND COGNITION - THE LATTERDAY LESSONS OF LEVELS, LANGUAGE, AND LAC - EVOLUTIONARY OVERVIEW OF BRAIN STRUCTURE AND FUNCTION IN SOME VERTEBRATES AND INVERTEBRATES
Glg. Miklos, MOLECULES AND COGNITION - THE LATTERDAY LESSONS OF LEVELS, LANGUAGE, AND LAC - EVOLUTIONARY OVERVIEW OF BRAIN STRUCTURE AND FUNCTION IN SOME VERTEBRATES AND INVERTEBRATES, Journal of neurobiology, 24(6), 1993, pp. 842-890
The characteristics of the nervous systems of a number of organisms in
different phyla are examined at the recombinant DNA, protein, neuroan
atomic, neurophysiological, and cognitive levels. Among the invertebra
tes, special attention is paid to the advantages as well as the shortc
omings of the fly Drosophila melanogaster, the worm Caenorhabditis ele
gans, the honey bee Apis mellifera, the sea hare Aplysia californica,
the octopus Octopus vulgaris, and the squid Loligo pealei. Among verte
brates, the focus is on Homo sapiens, the mouse Mus musculus, the rat
Rattus norvegicus, the cat Felis catus, the macaque monkey Macaca fasc
icularis, the barn owl Tyto alba, and the zebrafish Brachydanio rerio.
Vertebrate nervous systems have also been compared in fossil vs. exta
nt organisms. I conclude that complex nervous systems arose in the Ear
ly Cambrian via a big bang that was underpinned by a modular method of
construction involving massive pleiotropy of gene circuits. This rapi
dity of construction had enormous implications for the degrees of free
dom that were subsequently available to evolving nervous systems. I al
so conclude that at the level of neuronal populations and interactions
of neuropiles there is no model system between phyla except at the ba
sic macromolecular level. Further, I argue that to achieve a significa
nt understanding of the functions of extant nervous systems we need to
concentrate on fewer organisms in greater depth and manipulate genome
s via transgenic technologies to understand the behavioral outputs tha
t are possible from an organism. Finally, I analyze the concepts of ''
perceptual categorization'' and ''information processing'' and the dif
ficulties involved in the extrapolation of computer analogies to sophi
sticated nervous systems.