The DOI matches its Crossref record.
Artificial neural networks for neuroscientists: a primer
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During behavior, neural activity was recorded using Neuropixels 1.0 silicon recording probes, which were acutely inserted into the medial entorhinal cortex.
“During behavior, neural activity was recorded using Neuropixels 1.0 silicon recording probes 56 , which were acutely inserted into the medial entorhinal cortex.”
From Remapping in a recurrent neural network model of navigation and context inference (2023) · cites this paper as [56]
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Tasks and their role in visual neuroscience
Kay, K., Bonnen, K., Denison, R. N., Arcaro, M. J., & Barack, D. L. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.022 · Cited by 61
Remapping in a recurrent neural network model of navigation and context inference
Low, I. I. C., Giocomo, L. M., & Williams, A. H. (2023) · doi:10.1101/2023.01.25.525596 · Cited by 3
Remapping in a recurrent neural network model of navigation and context inference
Low, I. I., Giocomo, L. M., & Williams, A. H. (2023) · eLife · doi:10.7554/elife.86943.3 · Cited by 1
“47 Thus, our observation that trained RNNs produce multistable attractor manifolds is nontrivial, because different solutions might have, in principle, emerged.”
Background
Metadata
- Authors
- Yang, G. R., & Wang, X.-J.
- Corresponding author
- Yang, Guangyu Robert
- Wang, Xiao-Jing
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 109
- Issue
- 4
- Pages
- 739
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W3158203492
- Cited by
- 20
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 9 · 2022: 2 · 2021: 3
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 381 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- artificial neural networks, machine learning, LSTM, memory tasks, neural network visualization
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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.
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