Bernhard Englitz

This study examines how structured noise and vocalizations are represented in the mouse auditory cortex using calcium imaging, finding context-dependent and spatially distributed neural responses.

The paper develops WARP, a platform integrating neuronal activity and gene expression data in zebrafish brains, revealing functional roles of molecularly defined cell populations and their activity correlations.

SpotDMix improves mRNA spot assignment to cells in spatial transcriptomics by using a mixture model and EM algorithm, outperforming simple methods in accuracy and exclusivity.

The paper shows mice use statistical properties of sound textures to detect vocalizations in noise, with PV interneurons aiding temporal integration.

The paper shows that sensory information is accurately represented in somatic PSPs but lost during AP generation, yet can be recovered in local populations to maintain high-fidelity touch processing.

The paper investigates how contextual influences on auditory perception are encoded in primary auditory cortex using tritone pairs and single-unit recordings in ferrets.

The paper investigates how layer-dependent excitatory-inhibitory neuron ratios affect cortical network dynamics and coding capacity, finding higher dimensionality and coding in layer 2/3 compared to layer 4.

This study shows that stopping speed in rats varies across sessions and is not a fixed trait, suggesting SSRTs should be treated as state-like variables in multi-session stop-signal tasks.

This paper introduces the Recurrent Temporal RBM (RTRBM) to capture both stochastic and time-predictive neural dynamics in whole-brain activity, showing improved generalization and temporal accuracy over previous methods.

The paper uses a generative model to uncover neural assemblies in zebrafish brains, showing it can replicate activity statistics and reveal functional connectivity.

The paper investigates neural microstate dynamics in the VTA-striatal-prefrontal loop during novelty exploration in rats using LFP recordings and finds rhythmic inter-regional synchronization linked to behavior.

The paper analyzes neural activity across multiple scales in mice during exploration, identifying reproducible but variable large-scale networks across brain regions.

This paper uses deep learning to classify mouse ultrasonic vocalizations by sex, achieving 84% accuracy compared to 64% and 52% with other methods.

The paper develops a statistical model to disentangle synaptic and non-synaptic effects on spike transmission using pre- and postsynaptic spiking data from in vivo recordings.

This paper develops a light-sheet microscope to enable whole-brain calcium imaging in head-restrained zebrafish during vestibular stimulation, revealing dynamic brain responses to physiological inputs.

The paper investigates task-related plasticity in ferret primary auditory cortex, finding greater enhancement of auditory target representation in layers 2/3 compared to layers 4-6.