Abstract

Key points Rapid changes in neuronal network activity trigger widespread waves of extracellular GABA in hippocampal neuropil.Elevations of extracellular GABA narrow the coincidence detection window for excitatory inputs to CA1 pyramidal cells.GABA transporters control the effect of extracellular GABA on coincidence detection.Small changes in the kinetics of dendritic excitatory currents amplify when reaching the soma. Coincidence detection of excitatory inputs by principal neurons underpins the rules of signal integration and Hebbian plasticity in the brain. In the hippocampal circuitry, detection fidelity is thought to depend on the GABAergic synaptic input through a feedforward inhibitory circuit also involving the hyperpolarisation‐activated Ih current. However, afferent connections often bypass feedforward circuitry, suggesting that a different GABAergic mechanism might control coincidence detection in such cases. To test whether fluctuations in the extracellular GABA concentration [GABA] could play a regulatory role here, we use a GABA 'sniffer' patch in acute hippocampal slices of the rat and document strong dependence of [GABA] on network activity. We find that blocking GABAergic signalling strongly widens the coincidence detection window of direct excitatory inputs to pyramidal cells whereas increasing [GABA] through GABA uptake blockade shortens it. The underlying mechanism involves membrane‐shunting tonic GABAA receptor current; it does not have to rely on Ih but depends strongly on the neuronal GABA transporter GAT‐1. We use dendrite‐soma dual patch‐clamp recordings to show that the strong effect of membrane shunting on coincidence detection relies on nonlinear amplification of changes in the decay of dendritic synaptic currents when they reach the soma. Our results suggest that, by dynamically regulating extracellular GABA, brain network activity can optimise signal integration rules in local excitatory circuits.

Highlights

  • High-precision input coincidence detection by principal neurons is essential for faithful information transfer by brain circuits (Konig et al 1996)

  • Coincidence detection fidelity, at least in the well-explored hippocampal CA3–CA1 circuit, has been shown to depend on feedforward inhibition (Pouille & Scanziani, 2001), which is manifested as the biphasic EPSP–IPSPs recorded in the postsynaptic CA1 pyramidal cells (PCs) (Alger & Nicoll, 1982)

  • PCs appear to routinely show monophasic subthreshold EPSPs (Bahner et al 2011; Kowalski et al 2016). As these observations highlighted the functional significance of direct excitatory inputs to CA1 PCs, it was important to understand what mechanisms can adaptively control the coincidence detection of such inputs

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Summary

Introduction

High-precision input coincidence detection by principal neurons is essential for faithful information transfer by brain circuits (Konig et al 1996). Coincidence detection fidelity, at least in the well-explored hippocampal CA3–CA1 circuit, has been shown to depend on feedforward inhibition (Pouille & Scanziani, 2001), which is manifested as the biphasic EPSP–IPSPs recorded in the postsynaptic CA1 pyramidal cells (PCs) (Alger & Nicoll, 1982). Membrane shunting by the hyperpolarisation-activated current Ih (Robinson & Siegelbaum, 2003) accelerates the IPSP component, further narrowing the input integration time window (Pavlov et al 2011). The strong influence of shunting conductance on coincidence detection was demonstrated using dynamic-clamp somatic current injections in cortical PCs (Grande et al 2004), and in electrically compact neurons of the chicken nucleus laminaris (Tang et al 2011)

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