Peter Rupprecht

CoReg is a motion correction tool for in vivo calcium imaging that outperforms existing methods by using tracking-based registration.

This paper introduces an optical modification using a K-mirror and electrically tunable lens to enable fast two-photon imaging along curved planes in biological structures.

The paper analyzes how olfactory memory in zebrafish is represented through neural manifolds, finding that training enhances the separation of task-relevant odor representations.

PURELIGHT improves photon efficiency and accuracy in fluorescence microscopy by recovering undistorted intensity and lifetime measurements at high count rates across multiple detector technologies.

aDISCO enables 3D microscopy of large archival FFPE human tissue blocks, revealing subtle pathologies in focal cortical dysplasia through deep-learning analysis.

This study evaluates and optimizes spike inference methods for GCaMP8 calcium imaging data, showing improved detection of high-frequency spikes and real-time activity.

This study compares natural arousal and direct locus coeruleus activation in mouse hippocampal CA1, revealing distinct cellular response patterns in astrocytes and neurons.

The paper evaluates spike rate inference algorithms on spinal cord neurons using ground truth data and finds that retraining improves performance.

This paper introduces miniML, a deep learning framework for automated synaptic event detection that outperforms existing methods in precision and recall across diverse preparations and species.

The paper investigates the computational role of balanced excitatory-inhibitory neuronal assemblies in zebrafish olfactory memory networks, showing they prevent runaway activity and correlations.

The paper identifies a distinct hypothalamus-habenula circuit that governs risk preference in economic decision-making.

The paper reports that common AAV transduction procedures can induce artefactual Ca2+ micro-waves in the hippocampus and provides an alternative method to avoid this issue.

The paper shows that hippocampal astrocytes integrate calcium signals from distal processes to somata, influenced by salient events and locus coeruleus activity.

The paper introduces a database and deep learning tool for spike inference from calcium imaging data, outperforming existing methods with an automated, parameter-free algorithm.

This study uses in vivo calcium imaging to analyze CA3 pyramidal neuron activity in adult mice, showing stable population-level coactivity and state-dependent patterns.

This study shows that predictive processing in adult zebrafish depends on the shank3b gene, with altered error signals in specific forebrain regions.

The paper benchmarks spike rate inference algorithms for two-photon calcium imaging data and finds that top-performing algorithms show high correlation despite diverse approaches.