ReviewPLoS computational biology2019
Neural correlates of sparse coding and dimensionality reduction.
Review in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Ecological Visual Processing in the Mouse.Annual review of neuroscience · 2026Review
- Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.PLoS computational biology · 2026Article
- Brain-inspired energy efficient technologies for next-generation artificial intelligence.Biological cybernetics · 2026Review
- Rules of life at the interface of calcium signaling and mechanobiology.APL bioengineering · 2025Review
- Encoding of interdependent features of head direction and angular head velocity in navigation.PNAS nexus · 2025Article
- Correctness is its own reward: bootstrapping error signals in self-guided reinforcement learning.bioRxiv : the preprint server for biology · 2025Article
- Relating sparse and predictive coding to divisive normalization.PLoS computational biology · 2025Article
- A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging.Nature communications · 2025Article
- On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper.Cognitive neurodynamics · 2024Article
- ReLU, Sparseness, and the Encoding of Optic Flow in Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- A sparse code for natural sound context in auditory cortex.Current research in neurobiology · 2024Article
- Information-theoretical analysis of the neural code for decoupled face representation.PloS one · 2024Article
- Accuracy optimized neural networks do not effectively model optic flow tuning in brain area MSTd.Frontiers in neuroscience · 2024Article
- Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice.Advances in neural information processing systems · 2023Article
- Distributed dopaminergic signaling in the basal ganglia and its relationship to motor disability in Parkinson's disease.Current opinion in neurobiology · 2023Review
- Learning the Vector Coding of Egocentric Boundary Cells from Visual Data.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Article
- Hippocampal and Medial Prefrontal Cortex Fractal Spiking Patterns Encode Episodes and Rules.Chaos, solitons, and fractals · 2023Article
- Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice.bioRxiv : the preprint server for biology · 2023Article
- Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition.Biological cybernetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Supported by recent computational studies, there is increasing evidence that a wide range of neuronal responses can be understood as an emergent property of nonnegative sparse coding (NSC), an efficient population coding scheme based on dimensionality reduction and sparsity constraints. We review evidence that NSC might be employed by sensory areas to efficiently encode external stimulus spaces, by some associative areas to conjunctively represent multiple behaviorally relevant variables, and possibly by the basal ganglia to coordinate movement. In addition, NSC might provide a useful theoretical framework under which to understand the often complex and nonintuitive response properties of neurons in other brain areas. Although NSC might not apply to all brain areas (for example, motor or executive function areas) the success of NSC-based models, especially in sensory areas, warrants further investigation for neural correlates in other regions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.