The DOI matches its Crossref record.
Neuronal correlate of visual associative long-term memory in the primate temporal cortex
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The time course of perceptual choice: The leaky, competing accumulator model.
Usher, M., & McClelland, J. L. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.550 · Cited by 2,152
Invariant visual representation by single neurons in the human brain
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) · Nature · doi:10.1038/nature03687 · Cited by 1,988
The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations
Rizzolatti, G., & Sinigaglia, C. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2805 · Cited by 1,680
Two cortical systems for memory-guided behaviour
Ranganath, C., & Ritchey, M. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3338 · Cited by 1,377
Synaptic theory of working memory
Mongillo, G., Barak, O., & Tsodyks, M. (2008) · Science · doi:10.1126/science.1150769 · Cited by 1,253
Memory engrams: Recalling the past and imagining the future
Josselyn, S. A., & Tonegawa, S. (2020) · Science · doi:10.1126/science.aaw4325 · Cited by 1,087
Neural mechanisms for visual memory and their role in attention
Desimone, R. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13494 · Cited by 1,028
Shape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Memory's echo: vivid remembering reactivates sensory-specific cortex
Wheeler, M. E., Petersen, S. E., & Buckner, R. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.20.11125 · Cited by 865
Freiwald, W. A., & Tsao, D. Y. (2010) · Science · doi:10.1126/science.1194908 · Cited by 678
Neural organization for the long-term memory of paired associates
Sakai, K., & Miyashita, Y. (1991) · Nature · doi:10.1038/354152a0 · Cited by 743
Self-citationDevelopment and plasticity of cortical processing architectures
Singer, W. (1995) · Science · doi:10.1126/science.270.5237.758 · Cited by 669
Brunel, N., & Wang, X.-J. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1011204814320 · Cited by 620
Distributed Neural Systems for the Generation of Visual Images
Ishai, A., Ungerleider, L. G., & Haxby, J. V. (2000) · Neuron · doi:10.1016/s0896-6273(00)00168-9 · Cited by 579
Cortex and memory: emergence of a new paradigm
Fuster, J. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21280 · Cited by 559
Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities
Schapiro, A. C., Kustner, L. V., & Turk-Browne, N. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.06.056 · Cited by 430
Functional-anatomic correlates of remembering and knowing
Wheeler, M. E., & Buckner, R. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.001 · Cited by 434
If deep learning is the answer, what is the question?
Saxe, A., Nelli, S., & Summerfield, C. (2021) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-00395-8 · Cited by 397
The Hebbian paradigm reintegrated: local reverberations as internal representations
Amit, D. J. (1995) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00040164 · Cited by 388
Ranganath, C. (2010) · Hippocampus · doi:10.1002/hipo.20852 · Cited by 375
Discrete attractor dynamics underlies persistent activity in the frontal cortex
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2019) · Nature · doi:10.1038/s41586-019-0919-7 · Cited by 334
Statistical learning of visual transitions in monkey inferotemporal cortex
Meyer, T., & Olson, C. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112895108 · Cited by 325
Howard, M. W., Fotedar, M. S., Datey, A. V., & Hasselmo, M. E. (2005) · Psychological Review · doi:10.1037/0033-295x.112.1.75 · Cited by 283
The role of population structure in computations through neural dynamics
Dubreuil, A., Valente, A., Beiran, M., Mastrogiuseppe, F., & Ostojic, S. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01088-4 · Cited by 237
Neurophysiology of shape processing
Perrett, D. I., & Oram, M. W. (1993) · Image and Vision Computing · doi:10.1016/0262-8856(93)90011-5 · Cited by 213
Keifer Jr, O. P., Hurt, R. C., Gutman, D. A., Keilholz, S. D., Gourley, S. L., & Ressler, K. J. (2015) · Nature Communications · doi:10.1038/ncomms8582 · Cited by 132
Statistical Learning Signals in Macaque Inferior Temporal Cortex
Kaposvari, P., Kumar, S., & Vogels, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhw374 · Cited by 91
Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex
Inagaki, H. K., Inagaki, M., Romani, S., & Svoboda, K. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3152-17.2018 · Cited by 111
“Neurons in the frontal and parietal cortex and related brain regions show persistent or ramping changes in spike rate during different types of short-term memory, including motor planning (Fuster and Alexander, 1971; Kubota and Niki, 1971; Bruce and Goldberg, 1985; Miyashita, 1988; Funahashi et al., 1989; Riehle and R…”
BackgroundReagh, Z. M., & Ranganath, C. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.04.050 · Cited by 83
Dynamics of Memory Representations in Networks with Novelty-Facilitated Synaptic Plasticity
Blumenfeld, B., Preminger, S., Sagi, D., & Tsodyks, M. (2006) · Neuron · doi:10.1016/j.neuron.2006.08.016 · Cited by 79
Statistical Learning of Serial Visual Transitions by Neurons in Monkey Inferotemporal Cortex
Meyer, T., Ramachandran, S., & Olson, C. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1215-14.2014 · Cited by 70
Learning of anticipatory responses in single neurons of the human medial temporal lobe
Reddy, L., Poncet, M., Self, M. W., Peters, J. C., Douw, L., van Dellen, E., Claus, S., Reijneveld, J. C., Baayen, J. C., & Roelfsema, P. R. (2015) · Nature Communications · doi:10.1038/ncomms9556 · Cited by 54
“37, the classification between single and multi-unit was performed visually based on: (1) the spike shape and its variance; (2) the ratio between the spike peak value and the noise level; (3) the ISI distribution of each cluster; and (4) the presence of a refractory period for the single-units; that is, fewer than 1%…”
Yamashita, K.-I., Hirose, S., Kunimatsu, A., Aoki, S., Chikazoe, J., Jimura, K., Masutani, Y., Abe, O., Ohtomo, K., Miyashita, Y., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1328-09.2009 · Cited by 51
Self-citationMemory Dynamics in Attractor Networks with Saliency Weights
Tang, H., Li, H., & Yan, R. (2010) · Neural Computation · doi:10.1162/neco.2010.07-09-1050 · Cited by 34
Metadata
- Authors
- Miyashita, Y.
- Venue
- Nature
- Published
- 1988-10
- Volume
- 335
- Issue
- 6193
- Pages
- 817-820
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2012074763
- Cited by
- 739
- References
- 0
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.