ArticleeLife2021
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Enhanced axonal mitochondrial motility and neural activity-induced energy deficits destabilize synaptic transmission in models of bipolar disorder.Nature communications · 2026Article
- Biological Systems Depend on Communication Over Distances: A Review of the Fundamental Mechanisms, Associated challenges, and the Potential Effect of the Constrained Disorder Principle.Acta biotheoretica · 2026Review
- Bayesian continual learning and forgetting in neural networks.Nature communications · 2025Article
- Incremental self-organization of spatio-temporal spike pattern detection.Scientific reports · 2025Article
- Investigation of Signal Transmission Dynamics in Rulkov Neuronal Networks with Q-Learned Pathways.Entropy (Basel, Switzerland) · 2025Article
- Large-scale interactions in predictive processing: oscillatory versus transient dynamics.Trends in cognitive sciences · 2025Review
- Probabilistic metaplasticity for continual learning with memristors in spiking networks.Scientific reports · 2024Article
- Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics.PLoS computational biology · 2024Article
- Article
- Pareto optimality, economy-effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons.Open biology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When an action potential arrives at a synapse there is a large probability that no neurotransmitter is released. Surprisingly, simple computational models suggest that these synaptic failures enable information processing at lower metabolic costs. However, these models only consider information transmission at single synapses ignoring the remainder of the neural network as well as its overall computational goal. Here, we investigate how synaptic failures affect the energy efficiency of models of entire neural networks that solve a goal-driven task. We find that presynaptic stochasticity and plasticity improve energy efficiency and show that the network allocates most energy to a sparse subset of important synapses. We demonstrate that stabilising these synapses helps to alleviate the stability-plasticity dilemma, thus connecting a presynaptic notion of importance to a computational role in lifelong learning. Overall, our findings present a set of hypotheses for how presynaptic plasticity and stochasticity contribute to sparsity, energy efficiency and improved trade-offs in the stability-plasticity dilemma.
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.