ArticleScientific reports2016
Energy-efficient population coding constrains network size of a neuronal array system.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Article
- Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.Frontiers in computational neuroscience · 2023Article
- Developmental and evolutionary constraints on olfactory circuit selection.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Trading mental effort for confidence in the metacognitive control of value-based decision-making.eLife · 2021Article
- Metabolic tuning of inhibition regulates hippocampal neurogenesis in the adult brain.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Metabolic Cost of Dendritic CaFrontiers in neuroscience · 2019Article
- Effects of channel blocking on information transmission and energy efficiency in squid giant axons.Journal of computational neuroscience · 2018Article
- The Promise of Stochastic Resonance in Falls Prevention.Frontiers in physiology · 2018Review
- Synaptic E-I Balance Underlies Efficient Neural Coding.Frontiers in neuroscience · 2018Review
- Short-Term Dosage Regimen for Stimulation-Induced Long-Lasting Desynchronization.Frontiers in physiology · 2018Article
- Efficient Coding and Energy Efficiency Are Promoted by Balanced Excitatory and Inhibitory Synaptic Currents in Neuronal Network.Frontiers in cellular neuroscience · 2018Article
- Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks.Frontiers in computational neuroscience · 2018Article
- Dendritic Properties Control Energy Efficiency of Action Potentials in Cortical Pyramidal Cells.Frontiers in cellular neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We consider the open issue of how the energy efficiency of the neural information transmission process, in a general neuronal array, constrains the network size, and how well this network size ensures the reliable transmission of neural information in a noisy environment. By direct mathematical analysis, we have obtained general solutions proving that there exists an optimal number of neurons in the network, where the average coding energy cost (defined as energy consumption divided by mutual information) per neuron passes through a global minimum for both subthreshold and superthreshold signals. With increases in background noise intensity, the optimal neuronal number decreases for subthreshold signals and increases for suprathreshold signals. The existence of an optimal number of neurons in an array network reveals a general rule for population coding that states that the neuronal number should be large enough to ensure reliable information transmission that is robust to the noisy environment but small enough to minimize energy cost.
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.