The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Cognitive Neurophysiology of the Motor Cortex
Abstract
A major challenge of current neuroscience is to elucidate the brain mechanisms that underlie cognitive function. There is no doubt that cognitive processing in the brain engages large populations of cells. This article explores the logic of investigating these problems by combining psychological studies in human subjects and neurophysiological studies of neuronal populations in the motor cortex of behaving monkeys. The results obtained show that time-varying psychological processes can be visualized in the time-varying activity of neuronal populations. Moreover, the functional interactions between cells in the motor cortex are very similar to those observed in a massively interconnected artificial network performing the same computation.
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Cites
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Cited by
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. (2000) · Nature · doi:10.1038/35016072 · Cited by 1,293
Noise, neural codes and cortical organization
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The basal ganglia: a vertebrate solution to the selection problem?
Redgrave, P., Prescott, T. J., & Gurney, K. (1999) · Neuroscience · doi:10.1016/s0306-4522(98)00319-4 · Cited by 1,199
Path integration and cognitive mapping in a continuous attractor neural network model
Samsonovich, A., & McNaughton, B. L. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-15-05900.1997 · Cited by 989
Functional anatomy of the mental representation of upper extremity movements in healthy subjects
Stephan, K. M., Fink, G. R., Passingham, R. E., Silbersweig, D., Ceballos-Baumann, A. O., Frith, C. D., & Frackowiak, R. S. (1995) · Journal of Neurophysiology · doi:10.1152/jn.1995.73.1.373 · Cited by 939
Metadata
- Authors
- Georgopoulos, A. P., Taira, M., & Lukashin, A.
- Venue
- Science
- Published
- 1993-04-02
- Volume
- 260
- Issue
- 5104
- Pages
- 47-52
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2054807558
- Cited by
- 351
- References
- 64
- FWCI
- 18.62
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.