ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2009
Correlated connectivity and the distribution of firing rates in the neocortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
- Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition.Biological cybernetics · 2026Article
- Sound feature representations decorrelate across the mouse auditory pathway.PLoS biology · 2025Article
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- Learning and criticality in a self-organizing model of connectome growth.Scientific reports · 2025Article
- Balanced state of networks of winner-take-all units.PLoS computational biology · 2025Article
- Article
- How synaptic strength, short-term plasticity, and input synchrony contribute to neuronal spike output.PLoS computational biology · 2023Article
- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring.Neural computation · 2022Article
- [Evolution of auditory response signal-to-noise ratio in ascending auditory pathways].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021Article
- Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation.Neural computation · 2021Article
- Inhibitory neurons exhibit high controlling ability in the cortical microconnectome.PLoS computational biology · 2021Article
- Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks.PLoS computational biology · 2020Article
- Fast and flexible sequence induction in spiking neural networks via rapid excitability changes.eLife · 2019Article
- Cortical recruitment determines learning dynamics and strategy.Nature communications · 2019Article
- Leveraging heterogeneity for neural computation with fading memory in layer 2/3 cortical microcircuits.PLoS computational biology · 2019Article
- Neuronal firing rates diverge during REM and homogenize during non-REM.Scientific reports · 2019Article
- Transient and Persistent UP States during Slow-wave Oscillation and their Implications for Cell-Assembly Dynamics.Scientific reports · 2018Article
- Neuromodulation influences synchronization and intrinsic read-out.F1000Research · 2018Article
- Sleep regulation of the distribution of cortical firing rates.Current opinion in neurobiology · 2017Review
- Micro-connectomics: probing the organization of neuronal networks at the cellular scale.Nature reviews. Neuroscience · 2017Review
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3 authors.
Funding
Abstract
Two recent experimental observations pose a challenge to many cortical models. First, the activity in the auditory cortex is sparse, and firing rates can be described by a lognormal distribution. Second, the distribution of nonzero synaptic strengths between nearby cortical neurons can also be described by a lognormal distribution. Here we use a simple model of cortical activity to reconcile these observations. The model makes the experimentally testable prediction that synaptic efficacies onto a given cortical neuron are statistically correlated, i.e., it predicts that some neurons receive stronger synapses than other neurons. We propose a simple Hebb-like learning rule that gives rise to such correlations and yields both lognormal firing rates and synaptic efficacies. Our results represent a first step toward reconciling sparse activity and sparse connectivity in cortical networks.
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Registered trials
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