On the public citation graph
Strong information-limiting correlations in early visual areas
0 signed · 48 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0042-6989(84)90097-xopenalex-snapshot
Human orientation discrimination tested with long stimuli
inferredcites →https://doi.org/10.1016/0042-6989(93)90192-yopenalex-snapshot
Modelling of orientation discrimination across the visual field
inferredcites →https://doi.org/10.1016/j.neuron.2012.03.016openalex-snapshot
Not Noisy, Just Wrong: The Role of Suboptimal Inference in Behavioral Variability
inferredcites →https://doi.org/10.1016/j.neuron.2015.06.033openalex-snapshot
How Can Single Sensory Neurons Predict Behavior?
inferredcites →https://doi.org/10.1016/j.neuron.2018.11.034openalex-snapshot
Circuit Models of Low-Dimensional Shared Variability in Cortical Networks
inferredcites →https://doi.org/10.1016/j.neuron.2019.01.026openalex-snapshot
Cortical Areas Interact through a Communication Subspace
inferredcites →https://doi.org/10.1016/j.visres.2003.07.009openalex-snapshot
Effects of contrast and size on orientation discrimination
inferredcites →https://doi.org/10.1017/s095252380000715xopenalex-snapshot
A relationship between behavioral choice and the visual responses of neurons in macaque MT
inferredcites →https://doi.org/10.1037/a0013572openalex-snapshot
An evaluation of psychophysical models of auditory change perception.
inferredcites →https://doi.org/10.1038/nature09880openalex-snapshot
Functional specificity of local synaptic connections in neocortical networks
inferredcites →https://doi.org/10.1038/nature24636openalex-snapshot
Fully integrated silicon probes for high-density recording of neural activity
inferredcites →https://doi.org/10.1038/nmeth.2434openalex-snapshot
Whole-brain functional imaging at cellular resolution using light-sheet microscopy
inferredcites →https://doi.org/10.1038/nn.2733openalex-snapshot
Decoding the activity of neuronal populations in macaque primary visual cortex
inferredcites →https://doi.org/10.1038/nn1321openalex-snapshot
Tuning curve sharpening for orientation selectivity: coding efficiency and the impact of correlations
inferredcites →https://doi.org/10.1038/nn1792openalex-snapshot
Optimal decoding of correlated neural population responses in the primate visual cortex
inferredcites →https://doi.org/10.1038/s41586-019-1346-5openalex-snapshot
High-dimensional geometry of population responses in visual cortex
inferredcites →https://doi.org/10.1073/pnas.90.22.10749openalex-snapshot
Simple models for reading neuronal population codes.
inferredcites →https://doi.org/10.1073/pnas.93.2.628openalex-snapshot
Motion perception: seeing and deciding.
inferredcites →https://doi.org/10.1088/1741-2560/13/2/026003openalex-snapshot
Scanning electron microscopy of chronically implanted intracortical microelectrode arrays in non-human primates
inferredcites →https://doi.org/10.1101/679324openalex-snapshot
High precision coding in visual cortex
inferredcites →https://doi.org/10.1146/annurev-neuro-070815-013851openalex-snapshot
Correlations and Neuronal Population Information
inferredcites →https://doi.org/10.1152/jn.00005.2016openalex-snapshot
A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons
inferredcites →https://doi.org/10.1152/jn.00919.2005openalex-snapshot
Effects of Noise Correlations on Information Encoding and Decoding
inferredcites →https://doi.org/10.1162/neco.2006.18.8.1951openalex-snapshot
Implications of Neuronal Diversity on Population Coding
inferredcites →https://doi.org/10.1162/neco_a_00123openalex-snapshot
Vectorized Algorithms for Spiking Neural Network Simulation
inferredcites →https://doi.org/10.1364/josaa.7.001034openalex-snapshot
Orientation and spatial-frequency discrimination for luminance and chromatic gratings
inferredcites →https://doi.org/10.1371/journal.pcbi.1004218openalex-snapshot
Measuring Fisher Information Accurately in Correlated Neural Populations
inferredcites →https://doi.org/10.1371/journal.pcbi.1005497openalex-snapshot
Robust information propagation through noisy neural circuits
inferredcites →https://doi.org/10.1523/jneurosci.0035-19.2019openalex-snapshot
Predicting Perceptual Decisions Using Visual Cortical Population Responses and Choice History
inferredcites →https://doi.org/10.1523/jneurosci.15-08-05448.1995openalex-snapshot
An emergent model of orientation selectivity in cat visual cortical simple cells
inferredcites →https://doi.org/10.1523/jneurosci.2171-10.2010openalex-snapshot
A Neuronal Population Measure of Attention Predicts Behavioral Performance on Individual Trials
inferredcites →https://doi.org/10.1523/jneurosci.2539-11.2011openalex-snapshot
The Effect of Noise Correlations in Populations of Diversely Tuned Neurons
inferredcites →https://doi.org/10.1523/jneurosci.3560-13.2013openalex-snapshot
Mouse Primary Visual Cortex Is Used to Detect Both Orientation and Contrast Changes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10827-022-00841-9openalex-snapshot
31st Annual Computational Neuroscience Meeting: CNS*2022
inferred← citeshttps://doi.org/10.1016/j.cell.2021.03.042openalex-snapshot
High-precision coding in visual cortex
inferred← citeshttps://doi.org/10.1038/s41593-025-02183-yopenalex-snapshot
Neural population geometry and optimal coding of tasks with shared latent structure
inferred← citeshttps://doi.org/10.1073/pnas.2005797117openalex-snapshot
Low rank mechanisms underlying flexible visual representations
inferred← citeshttps://doi.org/10.1101/2022.03.08.483488openalex-snapshot
Not optimal, just noisy: the geometry of correlated variability leads to highly suboptimal sensory coding
inferred← citeshttps://doi.org/10.1101/2022.09.28.509815openalex-snapshot
Subpopulation Codes Permit Information Modulation Across Cortical States
inferred← citeshttps://doi.org/10.1101/2024.07.05.602210openalex-snapshot
Structured neural fluctuations can generate noise invariance and inter-areal gating at distinct timescales
inferred← citeshttps://doi.org/10.1126/sciadv.adz9632openalex-snapshot
Population coding under the scale invariance of high-dimensional noise
inferred← citeshttps://doi.org/10.1152/jn.00313.2024openalex-snapshot
The geometry of correlated variability leads to highly suboptimal discriminative sensory coding
inferred← citeshttps://doi.org/10.1162/neco_a_01287openalex-snapshot
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008153openalex-snapshot
Understanding multivariate brain activity: Evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1009557openalex-snapshot
Task-induced neural covariability as a signature of approximate Bayesian learning and inference
inferred← citeshttps://doi.org/10.1523/jneurosci.2228-22.2023openalex-snapshot
Representational Geometries Reveal Differential Effects of Response Correlations on Population Codes in Neurophysiology and Functional Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.7554/elife.64615openalex-snapshot
Modelling the neural code in large populations of correlated neurons
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.