Energy budgets govern synaptic precision and its regulation during plasticity

TL;DR

This paper presents an energy-constrained framework showing that synaptic precision is limited by metabolic energy availability, with plasticity adjusting energy budgets to regulate synaptic reliability.

Contribution

It introduces a model linking synaptic energy costs to precision and demonstrates how plasticity updates energy budgets based on mean changes.

Findings

Synaptic precision is constrained by energy availability.

A dominant calcium pump-like cost influences synaptic variance.

Plasticity systematically adjusts energy budgets to maintain reliability.

Abstract

Synaptic transmission must balance the need for reliable signalling against the metabolic cost of achieving that reliability. How energetic constraints shape synaptic precision and its regulation during plasticity remains unclear. Here we develop an energy--constrained framework in which synapses minimise postsynaptic response variance subject to a fixed mean and an effective energy budget. Combinations of candidate physiological costs are used to estimate an energy cost for synaptic transmission; this cost is then inferred from quantal statistics. Analysing five published pre- and post-plasticity datasets, we find that observed synaptic mean--variance pairs cluster near a minimal-energy boundary, indicating that precision is limited by energetic availability. Model comparison identifies a dominant calcium pump-like cost paired with a smaller vesicle turnover-like cost, yielding a separable precision--energy relationship, $\sigma^{-2} \propto E^5$. We further show that plasticity systematically updates synaptic energy budgets according to the scale-free magnitude of mean change, enabling accurate prediction of post-plasticity variance from energy allocation alone. These results provide direct experimental support for the hypothesis that synaptic precision is governed by energy budgets, establishing energy allocation as a fundamental principle linking metabolic constraints, synaptic reliability, and plasticity.