The grammar of mammalian brain capacity
Uniquely human abilities may arise from special purpose brain circuitry, or from concerted general capacity increases due to our outsized brains. We forward a novel hypothesis of the relation between computational capacity and brain size, linking mathematical formalisms of grammars with the allometric increases in cortical subcortical ratios that arise in large brains. In sum, i) thalamocortical loops compute formal grammars; ii) successive cortical regions describe grammar rewrite rules of increasing size; iii) cortical subcortical ratios determine the quantity of stacks in single stack pushdown grammars; iv) quantitative increase of stacks yields grammars with qualitatively increased computational power. We arrive at the specific conjecture that human brain capacity is equivalent to that of indexed grammars far short of full Turing computable (recursively enumerable) systems. The work provides a candidate explanatory account of a range of existing human and animal data, addressing longstanding questions of how repeated similar brain algorithms can be successfully applied to apparently dissimilar computational tasks (e.g. perceptual versus cognitive, phonological versus syntactic) and how quantitative increases to brains can confer qualitative changes to their computational repertoire. Thalamocortical and cortico cortical loops in the brain compute formal grammars.Quantitative increase of cortico hippocampal stacks within grammars causes qualitatively increased computational power.Human brain computation is equivalent to indexed grammars (HOPDAs).Unaided human brain capacity is far short of full Turing complete grammars.Formal grammars provide explanatory accounts of a range of human and animal data.
Theor. Comput. Sci.