Place field assembly distribution encodes preferred locations
Open accessAbstract
The hippocampus is the main locus of episodic memory formation and the neurons there encode the spatial map of the environment. Hippocampal place cells represent location, but their role in the learning of preferential location remains unclear. The hippocampus may encode locations independently from the stimuli and events that are associated with these locations. We have discovered a unique population code for the experience-dependent value of the context. The degree of reward-driven navigation preference highly correlates with the spatial distribution of the place fields recorded in the CA1 region of the hippocampus. We show place field clustering towards rewarded locations. Optogenetic manipulation of the ventral tegmental area demonstrates that the experience-dependent place field assembly distribution is directed by tegmental dopaminergic activity. The ability of the place cells to remap parallels the acquisition of reward context. Our findings present key evidence that the hippocampal neurons are not merely mapping the static environment but also store the concurrent context reward value, enabling episodic memory for past experience to support future adaptive behavior.
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DA release in the hippocampus promotes spatial memory, reward-associated memory, novel-object recognition and memory consolidation.
“DA release in the hippocampus promotes spatial memory, rewardassociated memory, novel-object recognition and memory consolida tion (Broussard et al., 2016; Kempadoo et al., 2016; Mamad et al., 2017; McNamara et al., 2014; Rosen et al., 2015; Rossato et al., 2009; Takeuchi et al., 2016).”
From Nilotinib restores memory function by preventing dopaminergic neuron degeneration in a mouse model of Alzheimer’s Disease (2021) · cites this paper as Mamad et al., 2017
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- Authors
- Mamad, O., Stumpp, L., McNamara, H. M., Ramakrishnan, C., Deisseroth, K., Reilly, R. B., & Tsanov, M.
- Affiliations
- Trinity College Dublin (IE)
- Harvard University (US)
- Stanford University (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Tsanov, Marian
- ORCID
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-09-12
- Volume
- 15
- Issue
- 9
- Pages
- e2002365
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- PMC
- PMC5609775
- OpenAlex
- W2754052872
- Cited by
- 73
- References
- 63
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 13 · 2023: 7 · 2022: 7 · 2021: 9 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 2
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Update notices
- new_version (2017-09-22)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- University of Missouri
- Wellcome Trust (099926/Z/12/Z)
- Health Research Board
- Science Foundation Ireland
- National Institutes of Health (P40OD011062)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- place cells, hippocampus, CA1, reward context, spatial preferences, ventral tegmental area, dopaminergic activity, optogenetics, remapping, episodic memory
- MeSH terms
- Animals, Male, Ventral Tegmental Area, Maze Learning, Rats, CA1 Region, Hippocampal, Dopaminergic Neurons, Spatial Memory
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.
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