The DOI matches its Crossref record; 236 of the 238 references it cites were found in a registry or an index.
Coding and use of tactile signals from the fingertips in object manipulation tasks
Abstract
During object manipulation tasks, the brain selects and implements action-phase controllers that use sensory predictions and afferent signals to tailor motor output to the physical properties of the objects involved. Analysis of signals in tactile afferent neurons and central processes in humans reveals how contact events are encoded and used to monitor and update task performance.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In a similar way, behaviorally relevant state transitions also occur during object release (30), potentially explaining the slightly improved times during the transport phase in the ARAT task and the time spent in the target zone in the object transfer task.”
From A brain-computer interface that evokes tactile sensations improves robotic arm control (2021) · cites this paper as [30]
In the citing paper
“State transitions, such as object contact (30) during grasping, are uniquely encoded by tactile feedback in the intact nervous system.”
From A brain-computer interface that evokes tactile sensations improves robotic arm control (2021) · cites this paper as [30]
In the citing paper
“Furthermore, sensory feedback in any form other than visual feedback is often absent or still non-specific, making it difficult to naturally perform everyday tasks (Sainburg et al., 1995; Johansson and Flanagan, 2009).”
From Update on Peripheral Nerve Electrodes for Closed-Loop Neuroprosthetics (2018) · cites this paper as Johansson and Flanagan, 2009
In the citing paper
“Data on contact forces between the perceptually available object and the skin are required for grasping and manipulating an object (Johansson and Flanagan, 2009), because too much force is likely to damage the prosthesis or the object, while too little force can cause slippage (Witney et al., 2004).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Johansson and Flanagan, 2009
In the citing paper
“Furthermore, within the peripheral nervous system, different nerve fibers conduct action potentials at different speeds [23], and variable frequency and duration [24], which can affect their tolerance to electrical stimulation regimes.”
From Safety of long-term electrical peripheral nerve stimulation: review of the state of the art (2019) · cites this paper as [24]
In the citing paper
“Somatosensory feedback is critically important in activities of daily living, such as tying our shoe-laces, grasping objects, or even turning a door knob (Johansson and Flanagan, 2009;Marsden et al., 1984;Witney et al. , 2004).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Johansson and Flanagan, 2009
In the citing paper
“tactile cues that arise while grasping the object are used to rapidly correct the grip force, should it be insufficient (see Johansson and Flanagan, 2009 for an excellent review).”
From Biomimetic approaches to bionic touch through a peripheral nerve interface (2015) · cites this paper as Johansson and Flanagan, 2009
In the citing paper
“The main tactile fibers underlying discriminative touch are myelinated Ab fibers.”
From Tactile innervation densities across the whole body (2020) · cites this paper as Johansson and Flanagan 2009
Citations
Cites
Plum, F. (1960) · Archives of Neurology · doi:10.1001/archneur.1960.03840090124020 · Cited by 10,388
Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
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Optimal feedback control as a theory of motor coordination
Todorov, E., & Jordan, M. I. (2002) · Nature Neuroscience · doi:10.1038/nn963 · Cited by 3,081
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Song, S., Miller, K. D., & Abbott, L. F. (2000) · Nature Neuroscience · doi:10.1038/78829 · Cited by 2,794
Parallel & distributed processing
Slusallek, P., Shirley, P. S., Mark, W. R., Stoll, G., & Wald, I. (2005) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1198555.1198750 · Cited by 2,568
Internal models in the cerebellum
Wolpert, D. M., Miall, R. C., & Kawato, M. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01221-2 · Cited by 2,469
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Computational principles of movement neuroscience
Wolpert, D. M., & Ghahramani, Z. (2000) · Nature Neuroscience · doi:10.1038/81497 · Cited by 2,122
Flagged first, then by citations
2 of the 238 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Macefield, V. G. & Johansson, R. S. Control of grip force during restraint of an object held between finger and thumb: responses of muscle and joint afferents from the digits. Exp. Brain Res. 108, 172–184 (1996).
- Müller, F. & Abbs, J. H. in Advances in Neurology vol. 53 (eds Streifler, M. B., Korezyn, A. D., Melamed, E. & Youdim, M. B. H.) 191–195 (Raven, New York, 1990).
- Johansson, R. S. & Edin, B. B. Predictive feed-forward sensory control during grasping and manipulation in man. Biomed. Res. 14, 95–106 (1993).
Cited by
Sorted by citations
Items 1,001–1,002 of 1,002
Zheng, X., Zhang, R., Shi, Y., Zhang, Z., Li, G., Shang, Z., Liu, Y., Zhao, F., Hu, S., Xu, R., et al. (2026) · Advanced Science · doi:10.1002/advs.202520152 · Cited by 11
Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III
Gardères, P.-M., Le Gal, S., Rousseau, C., Mamane, A., Ganea, D. A., & Haiss, F. (2024) · Nature Communications · doi:10.1038/s41467-024-49129-9 · Cited by 7
“Different codes could support the percep-tualrepresentationof the stimulus, includinga ratecode andtemporal codes 35,36 (e.g., periodicity of fi ring).”
Metadata
- Authors
- Johansson, R. S., & Flanagan, J. R.
- Affiliations
- Umeå University (SE)
- Queen's University (CA)
- Corresponding author
- Johansson, Roland S.
- Venue
- Nature Reviews Neuroscience
- Published
- 2009-04-08
- Volume
- 10
- Issue
- 5
- Pages
- 345-359
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2074936002
- Cited by
- 2,063
- References
- 238
- Citations by year
- 2026: 178 · 2025: 196 · 2024: 171 · 2023: 159 · 2022: 166 · 2021: 160 · 2020: 151 · 2019: 144 · 2018: 138 · 2017: 89 · 2016: 96 · 2015: 96 · 2014: 97 · 2013: 74 · 2012: 56
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vetenskapsrådet
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- tactile signals, object manipulation, haptic perception, sensory prediction, motor control, contact events, tactile coding
- MeSH terms
- Afferent Pathways, Brain, Brain Mapping, Fingers, Humans, Models, Biological, Neurons, Afferent, Physical Stimulation, Proprioception, Psychomotor Performance, Task Performance and Analysis, Touch, Hand Strength
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