Alternet (of course) spreads the news that researchers studying our earliest ancestors have collected some intriguing proof that cave painters were tripping:
Their thesis intriguingly explores the “biologically embodied mind,” which they contend gave rise to similarities in Paleolithic art across the continents dating back 40,000 years, and can also be seen in the body painting patterns dating back even further, according to recent archelogical discoveries.
At its core, this theory challenges the long-held notion that the earliest art and atrists were merely trying to draw the external world. Instead, it sees cave art as a deliberate mix of rituals inducing altered states for participants, coupled with brain chemistry that elicits certain visual patterns for humanity’s early chroniclers.
“The prevalence of certain geometric patterns in the symbolic material culture of many prehistoric cultures, starting shortly after the emergence of our biological species and continuing in some indigenous cultures until today, is explained in terms of the characteristic contents of biologically determined hallucinatory experience,” the researchers hypothesize.
This behavior and the same results were noted by 1960s-era academics studying the effects of peyote, a hallucinogenic cactus found in North America.
“The non-ordinary visual experiences were often characterized by similar kinds of abstract geometric patterns, which he classified into four categories of form constants: (1) gratings, lattices, fretworks, filigrees, honeycombs, and checkerboards; (2) cobwebs; (3) tunnels and funnels, alleys, cones, vessels; and (4) spirals,” they write, citing peyote research. “Intriguingly, these form constants turned out to resemble many of the abstract motifs that are often associated with prehistoric art from around the world, including Paleolithic cave art in Europe.”
If you need more detail, here’s the paper, published in the journal Adaptive Behavior. The interesting bit is that none of the three researchers are archaeologists – they’re computer scientists with a special interest in the neurology of vision, artificial life systems, and consciousness.