Hierarchical control of rapid movement sequences.

Rosenbaum, David A.; Kenny, Sandra B.; Derr, Marcia A.

doi:10.1037//0096-1523.9.1.86

Cited by 119 publications

(4 citation statements)

References 29 publications

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“…Earlier models, including C-SMB, postulated that preparation of short movement sequences occurs in a short-term, limited-capacity motor buffer (Abrahamse et al, 2013 ; Rosenbaum et al, 1983 ; Sternberg et al, 1978 ; Verwey et al, 2015 ). DSP studies, however, suggest that it is in STM that the preparation of the up to about 4 abstract response representations occurs (Baddeley, 1986 ; Baddeley & Hitch, 1974 ; Klapp, 1995 , 2003 ; Logie & Cowan, 2015 ).…”

Section: Reviewing Dsp Task Resultsmentioning

confidence: 99%

“…In simple-RT conditions, the responses of short sequences are basically prepared in STM at the start of a block of trials (Averbeck et al, 2002 ; Immink & Wright, 1998 ; Kornysheva et al, 2019 ; Sternberg et al, 1978 ; Wright et al, 2004 ), in the case of unfamiliar sequences probably in the order in which they are executed (Ulrich et al, 1990 ). The sequence length effect in simple-RT conditions has been attributed to the longer time it takes to search STM for the first response (Rosenbaum et al, 1983 ; Sternberg et al, 1978 ). Competitive queuing models attribute the sequence length effect to the greater competition as there are more sequence elements (Bullock, 2004 ; Burgess & Hitch, 1999 ; Kornysheva et al, 2019 ).…”

Section: Reviewing Dsp Task Resultsmentioning

confidence: 99%

“…That is, participants learn to prepare, before display of the go stimulus, a sequence in STM and concurrently specify a single response at the motor level. When the go stimulus is identified, participants immediately execute the first, fully specified response, which therefore is no longer subject to STM scanning (Rosenbaum et al, 1983 ; Sternberg et al, 1978 ) or internal competition (Bullock, 2004 ; Burgess & Hitch, 1999 ; Kornysheva et al, 2019 ). In choice-RT conditions, the sequence length effect is usually not observed because the various alternative first responses are all stored in STM (e.g., Cisek, 2007 ), and the required first response is immediately executed upon identification of the imperative stimulus because later sequence elements have not yet been stored in STM.…”

Section: C-smb 20mentioning

confidence: 99%

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C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task

Verwey

2023

Psychon Bull Rev

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An exhaustive review is reported of over 25 years of research with the Discrete Sequence Production (DSP) task as reported in well over 100 articles. In line with the increasing call for theory development, this culminates into proposing the second version of the Cognitive framework of Sequential Motor Behavior (C-SMB 2.0), which brings together known models from cognitive psychology, cognitive neuroscience, and motor learning. This processing framework accounts for the many different behavioral results obtained with the DSP task and unveils important properties of the cognitive system. C-SMB 2.0 assumes that a versatile central processor (CP) develops multimodal, central-symbolic representations of short motor segments by repeatedly storing the elements of these segments in short-term memory (STM). Independently, the repeated processing by modality-specific perceptual and motor processors (PPs and MPs) and by the CP when executing sequences gradually associates successively used representations at each processing level. The high dependency of these representations on active context information allows for the rapid serial activation of the sequence elements as well as for the executive control of tasks as a whole. Speculations are eventually offered as to how the various cognitive processes could plausibly find their neural underpinnings within the intricate networks of the brain.

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Section: Reviewing Dsp Task Resultsmentioning

confidence: 99%

Section: Reviewing Dsp Task Resultsmentioning

confidence: 99%

Section: C-smb 20mentioning

confidence: 99%

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C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task

Verwey

2023

Psychon Bull Rev

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“…Obviously, such a procedure can be iterated a number of times and is intrinsically hierarchical. This is a desired feature in view of the experimental facts that activities of functional networks in the brain are hierarchically organized if one has to deal with perception, cognition, behavioral sequential activity or motor control (Grossman, 1980;Rosenbaum et al, 1983;Musso et al, 2003;Tettamanti and Weniger, 2006), or specific movements (Bahlmann et al, 2008;Bahlmann et al, 2009;Kotz et al, 2010). If a chunk or superchunk represents an entire block or a set of blocks on lower organization levels, this goes along with a strong reduction in the degrees of freedom which may be the relevant ones for the specific task.…”

Section: Hierarchical Hns Chunking Dynamics and Magic Numbersmentioning

confidence: 99%

Heteroclinic networks for brain dynamics

Meyer-Ortmanns

2023

Front. Netw. Physiol.

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Heteroclinic networks are a mathematical concept in dynamic systems theory that is suited to describe metastable states and switching events in brain dynamics. The framework is sensitive to external input and, at the same time, reproducible and robust against perturbations. Solutions of the corresponding differential equations are spatiotemporal patterns that are supposed to encode information both in space and time coordinates. We focus on the concept of winnerless competition as realized in generalized Lotka–Volterra equations and report on results for binding and chunking dynamics, synchronization on spatial grids, and entrainment to heteroclinic motion. We summarize proposals of how to design heteroclinic networks as desired in view of reproducing experimental observations from neuronal networks and discuss the subtle role of noise. The review is on a phenomenological level with possible applications to brain dynamics, while we refer to the literature for a rigorous mathematical treatment. We conclude with promising perspectives for future research.

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Distinct neural systems underlie learning visuomotor and spatial representations of motor skills

Parsons¹,

Harrington²,

Rao³

2004

Human Brain Mapping

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Motor skill learning depends upon acquiring knowledge about multiple features of sequential behaviors, including their visuomotor and spatial properties. To investigate the neural systems that distinguish these representations, we carried out functional magnetic resonance imaging (fMRI) as healthy adults learned to type sequences on a novel keyboard. On the initial training day, learning-related changes in brain activation were found in distributed cortical regions, only a subset of which correlated with improvements in movement time (MT), suggesting their preeminence in controlling movements online. Subjects received extended training on the sequences during the ensuing week, after which they returned to the scanner for another imaging session. Relative to performance at the end of the first training day, continued plasticity was most striking in the inferior parietal cortex and new areas of plasticity were uncovered in the caudate and cerebellum. Plasticity in these regions correlated with reaction time (RT), suggesting their role in planning sequences before movement onset. Two transfer conditions probed for "what" subjects learned. The probe for visuomotor learning produced increased activation in visual analysis (left inferior visual cortex) and advance planning (left caudate) systems. The probe for spatial learning produced increased activation in visuomotor-transformation (left dorsal visual pathway) and retrieval (left precuneus) systems. Increased activity in all of these regions correlated with increased RT, but not MT, indicating that both transfer conditions interfered with the neural representation of plans for the sequences, but not processes that controlled their implementation. These findings demonstrated that neuroanatomically dissociable systems support the acquisition of visuomotor and spatial representations of actions.

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Hierarchical control of rapid movement sequences.

Cited by 119 publications

References 29 publications

C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task

C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task

Heteroclinic networks for brain dynamics

Distinct neural systems underlie learning visuomotor and spatial representations of motor skills

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