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Hierarchy, multidomain modules, and the evolution of intelligence

Published online by Cambridge University Press:  15 August 2017

Mauricio de Jesus Dias Martins
Affiliation:
Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germanymmartins@cbs.mpg.dehttps://www.researchgate.net/profile/Mauricio_Martins4 Humboldt Universität zu Berlin, Berlin School of Mind and Brain, 10117 Berlin, Germany
Laura Desirèe Di Paolo
Affiliation:
Lichtenberg-Kolleg Institute, University of Goettingen, 37075 GöttingenGermanylauradesiree.dipaolo@gmail.comhttps://sites.google.com/site/lauradesireedipaolo Leibniz ScienceCampus and Research Group Primate Social Evolution DPZ-German Primate Centre, 37077 Göttingen, Germany

Abstract

In this commentary, we support a complex, mosaic, and multimodal approach to the evolution of intelligence. Using the arcuate fasciculus as an example of discontinuity in the evolution of neurobiological architectures, we argue that the strict dichotomy of modules versus G, adopted by Burkart et al. in the target article, is insufficient to interpret the available statistical and experimental evidence.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2017 

Burkart et al.'s premise is that cognitive abilities can be supported either by the evolution of “primary modules” (sect. 1.2.3, para. 2; domain-specific adaptations to specific environmental challenges), or by the expansion of domain-general intelligence (G). If this premise were true, then the current empirical research, based largely on principal component analyses (PCAs), would be more consistent with the idea that a large portion of cognition in several species is explained by G rather than by collections of primary modules. Reviewing this empirical literature, the authors admit the results are somewhat ambiguous. Nevertheless, they predict we will find stronger evidence for the evolution of G in the future, because the data seem largely inconsistent with the primary modular perspective.

Here, we argue that the strict dichotomy of primary module versus G is misleading: There are occasional evolutionary discontinuities in neurobiological architectures that support a range of cognitive abilities, which are neither domain general nor modular adaptations for specific environmental challenges.

Our target example is the arcuate fasciculus (AF), which is a neural fiber tract enabling a direct connection between temporal cortex (including auditory cortex) and inferior frontal gyrus (involved in cognitive control) (Catani et al. Reference Catani, Jones and Ffytche2005). This tract, exceptionally well developed in humans in comparison with other primates (Rilling et al. Reference Rilling, Glasser, Preuss, Ma, Zhao, Hu and Behrens2008), is a neurobiological evolutionary discontinuity. By neurally binding the regions responsible for auditory processing and cognitive control, this new architectural feature greatly enhanced (1) the working memory for verbal information (vWM) – quite poor in nonhuman primates (Plakke et al. Reference Plakke, Hwang and Romanski2015; Scott et al. Reference Scott, Mishkin and Yin2012); and (2) the capacity to process sequences (Dehaene et al. Reference Dehaene, Meyniel, Wacongne, Wang and Pallier2015).

This peculiar connectivity pattern seems to be a crucial prerequisite for the evolution of multiple abilities relying on hierarchical sequential structure (e.g., language, music, and complex action) (Fadiga et al. Reference Fadiga, Craighero and D'Ausilio2009; Fitch & Martins Reference Fitch and Martins2014). However, improvements in vWM and sequence processing do not necessary permeate other (nonsequential) cognitive domains, thus not allowing any interpretation in terms of modules or G. For instance: (1) Some nonhuman primates (e.g., chimpanzees) seem to show spatial WM superior to that of humans (Inoue & Matsuzawa Reference Inoue and Matsuzawa2007), and (2) although the capacity to represent social hierarchies seems to be within the range of nonhuman primate cognition (Seyfarth & Cheney Reference Seyfarth and Cheney2014), and the ability to process spatial hierarchies is conserved among nonhuman mammals (Geva-Sagiv et al. Reference Geva-Sagiv, Las, Yovel and Ulanovsky2015), the capacity to process sequential structures nonetheless remains limited in these clades.

Another source of evidence for this specialization comes from neuroimaging. Although the processing of sequential hierarchies activates the inferior frontal gyrus (a region strongly connected with the AF) (Fadiga et al. Reference Fadiga, Craighero and D'Ausilio2009; Fitch & Martins Reference Fitch and Martins2014), the same is not true for nonsequential hierarchies in the visual, spatial, and social domains (Aminoff et al. Reference Aminoff, Gronau and Bar2007; Kumaran et al. Reference Kumaran, Melo and Düzel2012; Martins et al. Reference Martins, Fischmeister, Puig-Waldmüller, Oh, Geißler, Robinson, Fitch and Beisteiner2014). Instead, the latter group of hierarchies seems to be represented by a domain-general episodic memory system.

This cognitive mosaic argues against a simple gradual expansion of G. When performing a PCA, including individuals of different primate species, the emergence of the human AF (and enhanced vWM) would be more easily classified as multidomain or multipurpose cognitive ability, but neither as domain-specific (because it increases the capacity within a range of domains) nor as domain general (because these improvements are specific to sequential but not to nonsequential domains).

In sum, we suspect that the research program advanced by Burkart et al. is designed to distinguish only between modules and G, leaving aside other possible interpretations that would fit better with the available data (e.g., Anderson Reference Anderson2016; Karmiloff-Smith Reference Karmiloff-Smith2015). In our opinion, a third way between modules and G will give a more suitable account for clade-specific discontinuities (grounded on neurobiological architectural changes), which would fit better the statistical models. These discontinuities offer a great opportunity to capture capacities that are neither gradual expansions of G nor specific modular adaptations to specific environmental problems. Therefore, they are required to overcome intrinsic limitations of current models, theoretically improving them and achieving a more realistic account of the evolution of cognition across different species.

References

Aminoff, E., Gronau, N. & Bar, M. (2007) The parahippocampal cortex mediates spatial and nonspatial associations. Cerebral Cortex 17(7):1493–503. Available at: http://doi.org/10.1093/cercor/bhl078.CrossRefGoogle ScholarPubMed
Anderson, M. L. (2016) Précis of After Phrenology: Neural Reuse and the Interactive Brain . Behavioral and Brain Sciences 39:e120. doi: 10.1017/S0140525X15000631.CrossRefGoogle ScholarPubMed
Catani, M., Jones, D. K. & Ffytche, D. H. (2005) Perisylvian language networks of the human brain. Annals of Neurology 57(1):816. Available at: http://doi.org/10.1002/ana.20319.CrossRefGoogle ScholarPubMed
Dehaene, S., Meyniel, F., Wacongne, C., Wang, L. & Pallier, C. (2015) The Neural representation of sequences: From transition probabilities to algebraic patterns and linguistic trees. Neuron 88(1):219. Available at: http://doi.org/10.1016/j.neuron.2015.09.019.CrossRefGoogle ScholarPubMed
Fadiga, L., Craighero, L. & D'Ausilio, A. (2009) Broca's area in language, action, and music. Annals of the New York Academy of Sciences 1169(1):448–58. Available at: http://doi.org/10.1111/j.1749-6632.2009.04582.x.CrossRefGoogle ScholarPubMed
Fitch, W. T. & Martins, M. D. (2014) Hierarchical processing in music, language, and action: Lashley revisited. Annals of the New York Academy of Sciences 1316(1):87104. Available at: http://doi.org/10.1111/nyas.12406.CrossRefGoogle ScholarPubMed
Geva-Sagiv, M., Las, L., Yovel, Y. & Ulanovsky, N. (2015) Spatial cognition in bats and rats: From sensory acquisition to multiscale maps and navigation. Nature Reviews Neuroscience 16(2):94108. Available at: http://doi.org/10.1038/nrn3888.CrossRefGoogle ScholarPubMed
Inoue, S. & Matsuzawa, T. (2007) Working memory of numerals in chimpanzees. Current Biology. Available at: http://doi.org/10.1016/j.cub.2007.10.027.CrossRefGoogle ScholarPubMed
Karmiloff-Smith, A. (2015) An alternative to domain-general or domain-specific frameworks for theorizing about human evolution and ontogenesis. AIMS Neuroscience 2(2):91104. Available at: http://doi.org/10.3934/Neuroscience.2015.2.91.CrossRefGoogle ScholarPubMed
Kumaran, D., Melo, H. L. & Düzel, E. (2012) The emergence and representation of knowledge about social and nonsocial hierarchies. Neuron 76(3):653–66. Available at: http://doi.org/10.1016/j.neuron.2012.09.035.1.CrossRefGoogle ScholarPubMed
Martins, M. D., Fischmeister, F. P., Puig-Waldmüller, E., Oh, J., Geißler, A., Robinson, S., Fitch, W. T. & Beisteiner, R. (2014) Fractal image perception provides novel insights into hierarchical cognition. NeuroImage 96:300–08. Available at: http://doi.org/10.1016/j.neuroimage.2014.03.064.CrossRefGoogle ScholarPubMed
Plakke, B., Hwang, J. & Romanski, L. M. (2015) Inactivation of primate prefrontal cortex impairs auditory and audiovisual working memory. Journal of Neuroscience 35(26):9666–75. Available at: http://doi.org/10.1523/JNEUROSCI.1218-15.2015.CrossRefGoogle ScholarPubMed
Rilling, J. K., Glasser, M. F., Preuss, T. M., Ma, X., Zhao, T., Hu, X. & Behrens, T. E. J. (2008) The evolution of the arcuate fasciculus revealed with comparative DTI. Nature Neuroscience 11(4):426–28. Available at: http://doi.org/10.1038/nn2072.CrossRefGoogle ScholarPubMed
Scott, B. H., Mishkin, M. & Yin, P. B. (2012) Monkeys have a limited form of short-term memory in audition. Proceedings of the National Academy of Sciences USA 109(30):12237–41. Available at: http://doi.org/10.1073/pnas.1209685109.CrossRefGoogle ScholarPubMed
Seyfarth, R. M. & Cheney, D. (2014) The evolution of language from social cognition. Current Opinion in Neurobiology 28:59. Available at: http://doi.org/10.1016/j.conb.2014.04.003.CrossRefGoogle ScholarPubMed