Leon Lagnado

The paper investigates how short-term adaptation and reward learning in mouse visual cortex are shaped by distinct disinhibitory circuits and converge on a reduced PV:SST input ratio.

This study measures the input-output relations of photoreceptors in zebrafish and finds functional heterogeneity in their response to visual stimuli.

The paper shows that locomotion enhances activity of sensitizing neurons in mouse V1 while weakening their synapses, suggesting a state-dependent gating mechanism.

The paper shows that random inhibitory connectivity in mouse visual cortex explains functional heterogeneity and decorrelates pyramidal cell adaptation.

This study shows that multivesicular release improves information transfer efficiency in sensory neurons by increasing spike generation and reducing latency.

The paper shows that diurnal modulation enhances information transmission efficiency at zebrafish retinal synapses through increased synaptic gain, reduced noise, and multivesicular release.

This study investigates how amacrine cells in zebrafish retinas differentially balance colour and greyscale processing in central and peripheral regions through distinct inhibitory circuits.

The paper introduces μSPIM, a software platform for SPIM microscopy, enabling high-resolution volumetric imaging of live organisms like zebrafish and mice.

The paper shows that retinal outputs in mice are modulated by behavioural state, as observed in the superficial superior colliculus and optic tract, even in darkness.

This study shows how dopamine and Substance P modulate synaptic gain and temporal filtering in retinal bipolar cells by altering calcium transients during multivesicular release.

This paper introduces a method to correct z-motion artefacts in two-photon imaging of awake mice, improving the accuracy of synaptic activity measurements.

The paper shows that opposing contrast adaptation in mouse visual cortex is controlled by distinct inhibitory circuits and modulated by locomotion through disinhibition.

The paper shows motor behaviour selectively inhibits hair cells activated by forward motion in zebrafish lateral line, suppressing self-generated signals while preserving sensitivity to external stimuli.

The paper develops an approximate Bayesian inference method for a mechanistic model of glutamate release at a ribbon synapse, showing it can estimate parameters from synthetic and experimental data and outperforms a standard GLM.

The paper investigates how retinal circuits implement dynamic predictive coding for oriented features through synaptic tuning and inhibition.

The paper shows that ribbon synapses in zebrafish retinal bipolar cells use amplitude coding to enhance the efficiency of visual signal transmission by encoding more information per vesicle.