Elsevier

Cortex

Volume 43, Issue 3, 2007, Pages 368-375
Cortex

Special Issue: Original Article
What Puts the How in Where? Tool Use and the Divided Visual Streams Hypothesis

https://doi.org/10.1016/S0010-9452(08)70462-3Get rights and content

Abstract

An influential theory suggests that the dorsal (occipito-parietal) visual stream computes representations of objects for purposes of guiding actions (determining ‘how’) independently of ventral (occipito-temporal) stream processes supporting object recognition and semantic processing (determining ‘what’). Yet, the ability of the dorsal stream alone to account for one of the most common forms of human action, tool use, is limited. While experience-dependent modifications to existing dorsal stream representations may explain simple tool use behaviors (e.g., using sticks to extend reach) found among a variety of species, skillful use of manipulable artifacts (e.g., cups, hammers, pencils) requires in addition access to semantic representations of objects' functions and uses. Functional neuroimaging suggests that this latter information is represented in a left-lateralized network of temporal, frontal and parietal areas. I submit that the well-established dominance of the human left hemisphere in the representation of familiar skills stems from the ability for this acquired knowledge to influence the organization of actions within the dorsal pathway.

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      This could be accomplished behaviorally by adopting less demanding technologies (Duke and Pargeter, 2015; Lewis and Harmand, 2016) and/or using mitigating techniques (e.g., heat treatment (Mraz et al., 2019), platform isolation, pressure and punch flaking); socially by providing instruction, support, and motivation for practice (Morgan et al., 2015; Stout and Hecht, 2017); and/or evolutionarily through changes to traits supporting skill acquisition. Relevant traits might include biomechanical features such as postural stability and control (Berrigan et al., 2006; Corbetta, 2005), mobility of the wrist and elbow during percussion (Williams et al., 2014; Rein et al., 2013), and the manipulative capabilities of the core-support hand (Faisal et al., 2010; Key and Dunmore, 2015, 2018), as well as sensorimotor and cognitive capacities required to perceive and integrate subtle object properties with fine-grained kinematics in relation to abstract technological goals (Frey, 2007; Stout, 2011; Orban and Caruana, 2014). These demands implicate a wide array of derived human capacities—ranging from executive attention and the integration of information in working memory (Coolidge and Wynn, 2005; Engle, 2018) to the perception of actions (Hecht et al., 2013a; Key and Dunmore, 2015) and objects (Vanduffel et al., 2002) and the acuity of motor control (Maier et al., 2005; Courtine et al., 2007; Heldstab et al., 2016)—any of which might reasonably have been impacted by selection acting on stone toolmaking aptitude.

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