Biology subjects

Akerman, C.

Publications and source records attributed to Akerman, C..

5 recordsLinked to original sources

bioRxiv2026

Predictive dendrites as a foundation for biological learning

A fundamental challenge for neuroscience is to identify laws of synaptic plasticity that are consistent with experimental observations at the level of individual neurons, whilst also explaining the ability of neural networks to learn complex tasks. Here we investigate a candidate law in which neurons adjust synaptic strengths to minimize the mismatch between somatic and dendritic activity. We demonstrate that models based on this rule can effectively adjust synaptic weights across network layers to learn non-linear tasks. Moreover, minimizing mismatch between spiking activity and dendritic inputs leads to integrate-and-fire dynamics and spike-timing-dependent plasticity. The model reproduces the experimentally observed dependencies of plasticity upon initial synaptic weights and spike patterns, whilst also generating a series of testable predictions. Our results show that a single principle - minimization of somato-dendritic mismatch - links learning at the network level with fundamental properties of individual neurons, including membrane potential dynamics and canonical features of synaptic plasticity.

neuroscience↗

bioRxiv2026

Enhancing cortical electrophysiological signatures of sleep overrides ER stress responses in sleep-deprived mice

Sleep deprivation (SD) triggers characteristic changes in the cortical electroencephalogram (EEG) during waking and sleep, as well as upregulating molecular signatures of neuronal activity, synaptic plasticity, and endoplasmic reticulum (ER) stress. This includes the induction of the unfolded protein response (UPR), the primary marker and adaptive mechanism of ER stress. Yet how cortical neuronal activity during SD contributes to the induction of these molecular signatures remains unknown. Here we investigate whether manipulating cortical activity during SD with a physiological stimulation paradigm (flickering light stimulation, FLS) affects the induction of the UPR. As expected, SD alone upregulated activity-dependent and UPR-related genes in cortex and led to increased EEG slow-wave activity (SWA) during subsequent NREM sleep, an electrophysiological signature of sleep need. Delivering FLS during SD, however, prevented the upregulation of activity- and UPR-related genes while inducing an additional increase in SWA during subsequent sleep. Further analysis of neuronal firing revealed that FLS induced brief neuronal silent (OFF) periods in awake animals during stimulation, thereby shifting cortical activity towards a brain state resembling sleep. These findings suggest that physiological manipulation of cortical activity during waking is sufficient to dissociate molecular signatures of ER stress from electrophysiological markers of sleep pressure. We propose that global sleep wake history and cortical network dynamics differentially regulate activity-dependent transcription and the accumulation of sleep pressure.

neuroscience↗

bioRxiv2023

Metaplasticity of cortical glutamatergic LTP by diurnal intracellular chloride dynamics

Neural plasticity varies depending on the time of day and preceding sleep-wake history. It is unclear however, how diurnal changes in cellular physiology modulate a neurons propensity to exhibit synaptic plasticity. Recently it has been shown that cortical pyramidal neurons exhibit diurnal changes in their transmembrane chloride gradients, which shift the equilibrium potential for GABAA receptors (EGABAA). Here we demonstrate that diurnal EGABAA affects membrane potential dynamics and glutamatergic long-term potentiation (LTP) elicited by high-frequency spiking activity in pyramidal neurons of mouse cortex. More depolarized EGABAA values associated with the active period facilitate LTP induction by promoting residual depolarization during synaptically-evoked spiking. Diurnal differences in LTP can be reversed by switching the EGABAA-dependent effects on membrane potential dynamics, either by direct current injection or pharmacologically altering EGABAA. These findings identify EGABAA as a metaplastic regulator of glutamatergic synaptic potentiation, which has implications for understanding synaptic plasticity during waking and sleep.

neuroscience↗

bioRxiv2021

Intraneuronal chloride levels encode tiredness in cortex

Continuous periods of wakefulness are associated with reduced performance levels due to the build-up of sleep pressure in active regions of the brain. These effects manifest as use-dependent changes in cortical network activity and the mechanisms underlying these changes represent targets for overcoming the cognitive effects of tiredness. Here we reveal a central role for intraneuronal chloride levels, which increase in a use-dependent manner during waking, and reduce the strength of local synaptic inhibition in mouse cortex. Activity-dependent increases in chloride account for spatial and temporal features of sleep pressure, they underlie cortical network oscillations in the sleep-deprived state, and targeting chloride regulation in cortex can rescue performance levels when tired. These findings provide a missing link between sleep-wake history, synaptic transmission and cortical dynamics. One-Sentence SummaryThe effects of sleep pressure on cortical function are caused by use-dependent changes in chloride-mediated synaptic inhibition.

neuroscience↗

bioRxiv2018

Chemicogenetic recruitment of specific interneurons suppresses seizure activity

Enhancing the brains endogenous inhibitory mechanisms represents an important strategy for suppressing epileptic discharges. Indeed, drugs that boost synaptic inhibition can disrupt epileptic seizure activity, although these drugs generate complex effects due to the broad nature of their action. Recently developed chemicogenetic techniques provide the opportunity to pharmacologically enhance endogenous inhibitory mechanisms in a more selective manner. Here we use chemicogenetics to assess the anti-epileptic potential of enhancing the synaptic output from three major interneuron populations in the hippocampus: parvalbumin (PV), somatostatin (SST) and vasoactive intestinal peptide (VIP) expressing interneurons. Targeted pre- and post-synaptic whole cell recordings in an in vitro hippocampal mouse model revealed that all three interneuron types increase their firing rate and synaptic output following chemicogenetic activation. However, the interneuron populations exhibited different anti-epileptic effects. Recruiting VIP interneurons resulted in a mixture of pro-epileptic and anti-epileptic effects. In contrast, recruiting SST or PV interneurons produced robust suppression of epileptiform activity. PV interneurons exhibited the strongest effect per cell, eliciting at least a five-fold greater reduction in epileptiform activity than the other cell types. Consistent with this, we found that chemicogenetic recruitment of PV interneurons was effective in an in vivo mouse model of hippocampal seizures. Following efficient delivery of the chemicogenetic tool, pharmacological enhancement of the PV interneuron population suppressed a range of seizure-related behaviours and prevented generalized seizures. Our findings therefore support the idea that selective chemicogenetic enhancement of synaptic inhibitory pathways offers potential as an anti-epileptic strategy.\n\nSignificance statementDrugs that enhance synaptic inhibition can be effective anticonvulsants but often cause complex effects due to their widespread action. Here we examined the anti-epileptic potential of recently developed chemicogenetic techniques, which offer a way to selectively enhance the synaptic output of distinct types of inhibitory neurons. A combination of in vitro and in vivo experimental models were used to investigate seizure activity in the mouse hippocampus. We find that chemicogenetically recruiting the parvalbumin-expressing population of inhibitory neurons produces the strongest anti-epileptic effect per cell, and that recruiting this cell population can suppress a range of epileptic behaviours in vivo. The data therefore support the idea that targeted chemicogenetic enhancement of synaptic inhibition offers promise for developing new treatments.

neuroscience↗