Spatial Patterns of Persistent Neural Activity Vary with the Behavioral Context of Short-Term Memory
Open accessAbstract
A short-term memory can be evoked by different inputs and control separate targets in different behavioral contexts. To address the circuit mechanisms underlying context-dependent memory function, we determined through optical imaging how memory is encoded at the whole-network level in two behavioral settings. Persistent neural activity maintaining a memory of desired eye position was imaged throughout the oculomotor integrator after saccadic or optokinetic stimulation. While eye position was encoded by the amplitude of network activity, the spatial patterns of firing were context dependent: cells located caudally generally were most persistent following saccadic input, whereas cells located rostrally were most persistent following optokinetic input. To explain these data, we computationally identified four independent modes of network activity and found these were differentially accessed by saccadic and optokinetic inputs. These results show how a circuit can simultaneously encode memory value and behavioral context, respectively, in its amplitude and spatial pattern of persistent firing.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The connectome for the VPNI contains two weakly coupled three-block cycles that lead to a corresponding pair of large real eigenvalues, providing an anatomical basis for the low-dimensional neural activity observed in this network.
“we found the connectome for the VPNI to contain two weakly coupled three-block cycles that lead to a corresponding pair of large real eigenvalues, providing an anatomical basis for the low-dimensional neural activity observed in this network16,55.”
From Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2024) · cites this paper as [16]
The Results (Potential mechanism of context-dependent persistent activity; page unavailable) report multiple modes of VPNI activity, and the Experimental Procedures describe a rank-four model connectivity matrix chosen to reproduce them. The paper does not report a measured VPNI connectome, two weakly coupled three-block cycles, or a corresponding pair of large real eigenvalues. It therefore supports the low-dimensional activity premise, but not the claimed anatomical explanation. (LLM, conf=0.88)
Experimental — accuracy not yet measuredLow-dimensional attractors have been proposed to underlie a large range of neural computations, from storage of working memory to reduction of noise in sensory and cognitive representations.
“Low-dimensional attractors have been proposed to underlie a large range of neural computations, from storage of working memory to reduction of noise in sensory and cognitive representations16,17.”
From Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2024) · cites this paper as [16]
The Introduction and Discussion describe attractor models of persistent activity in short-term memory circuits, supporting the working-memory part of the claim. They do not propose that attractors reduce noise in sensory or cognitive representations; the mention of noise in Experimental Procedures concerns measurement and analysis, not that proposed function. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe imaged volume includes neurons involved in eye movements.
“The imaged volume includes neurons involved in eye movements16,21,22,28.”
From Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2024) · cites this paper as [16]
Persistent activity in the oculomotor integrator is thought to be realized by low-dimensional attractor dynamics.
“Persistent activity in this system is thought to be realized by low-dimensional attractor dynamics15,16.”
From Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2024) · cites this paper as [16]
The model predicted a negative correlation between the decay amplitudes, consistent with experiments and previous findings.
“the model predicted a negative correlation between the decay amplitudes”
From Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2024) · cites this paper as [16]
The Results section on heterogeneity in persistent firing reports that relaxation time constants in two fixation contexts were uncorrelated, but those are not decay amplitudes. The model-simulation passages describe slow and fast activity modes without stating that the model predicted a negative correlation between decay amplitudes. Searches for that prediction and related terms found no passage addressing it; page numbers were unavailable in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 65 · Cited by 42
- Authors
- Daie, K., Goldman, M. S., & Aksay, E. R. F.
- Affiliations
- Cornell University (US)
- University of California, Davis (US)
- Weill Cornell Medicine (US)
- Corresponding author
- Goldman, Mark S.
- Aksay, Emre R.F.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 85
- Issue
- 4
- Pages
- 847-860
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4336549
- OpenAlex
- W2052795301
- Cited by
- 42
- References
- 65
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 8 · 2018: 3 · 2017: 6 · 2016: 4 · 2015: 2
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Science Foundation (1208088)
- Research to Prevent Blindness
- National Institutes of Health
- University of California, Davis
- National Institute of Mental Health (R01MH069726, R01MH065034)
- National Eye Institute (R01EY021581, T32EY007138, EY007138-16)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- short-term memory, persistent activity, saccades, optokinetic stimulation, contextual memory, memory encoding, network modes, computational modeling
- MeSH terms
- Action Potentials, Animals, Bacterial Proteins, Computer Simulation, Eye Movements, Larva, Luminescent Proteins, Memory, Short-Term, Models, Neurological, Mutation, Neurons, Rhombencephalon, Zebrafish, Homeodomain Proteins, Zebrafish Proteins, Animals, Genetically Modified, Microphthalmia-Associated Transcription Factor
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
