Michael Häusser

The paper introduces BakingTray, an open-source software platform for block-face serial two-photon tomography, demonstrating its utility in neuroscience applications.

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

The paper introduces Neuropixels Opto probes that combine high-resolution electrophysiology with optogenetics for spatially addressable neuronal manipulation and recording.

This study investigates how climbing fiber signals mediate fast and slow learning in mice, finding distinct encoding patterns in different cerebellar regions across learning stages.

The paper maps monosynaptic and disynaptic connectivity of cerebellar lobules LV and LS, revealing segregated inputs and overlapping outputs that support both specialized and integrated functions.

Mice infer stimulus-side priors from recent choices; prior signals are decodable pre-stimulus in 24.0% to 30.2% of 242 brain regions, including early visual and motor areas.

This paper introduces a computational method to reduce off-target stimulation in two-photon holographic optogenetics by optimizing stimulation sites using adaptive non-negative basis function regression.

The paper shows that mice with ASD-related mutations exhibit similar computational and neural anomalies in prior updating during decision-making.

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

The paper identifies a pool of non-coding neurons in the barrel cortex that can be recruited to enhance perception through optogenetic activation during sensory tasks.

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

This paper describes an experimental protocol for all-optical interrogation of neural circuits in behaving mice, demonstrating its application in three brain areas.

The paper develops a method to map synaptic activity in vivo using FIBSEM and machine learning, revealing distribution patterns of vesicles in synapses of awake mice.

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

This paper introduces DGNs, a biologically plausible learning rule that outperforms backpropagation in efficiency and forgetting resistance, inspired by cerebellar structure and function.

This study shows that dendritic NMDA receptors in parvalbumin neurons enable cooperative recruitment of interneurons, strengthening and stabilizing principal cell assemblies.

The paper shows that visual cortex activity influences perception, but this effect depends on task difficulty and network connectivity patterns.

The paper reports aberrant cortical activity and fluorescence events in some GCaMP6-expressing transgenic mice, suggesting potential artifacts in neuronal recordings.