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Neural models of reaching

  • Stephen Grossberg (a1)

Abstract

Plamondon & Alimi (P&A) have unified much data on speed/accuracy trade-offs during reaching movements using a delta-lognormal form factor that describes “the asymptotic behavior of a large number of dependent linear systems,” notably neuromuscular systems. Their approach raises questions about whether a large number of systems is needed, whether they are linear, and whether the results disclose the neural design principles that control reaching behaviors. The authors admit that “it is difficult . . . to provide a direct biological interpretation for the system parameters” (sect. 6, para. 4).

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Neural models of reaching

  • Stephen Grossberg (a1)

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