Christof Koch A

In awake mice, psilocybin changed burst firing rather than mean firing rate across thalamus and hippocampus. Ketanserin pretreatment abolished most burst effects, but EEG power and firing-rate changes persisted.

This study shows psilocybin disrupts visual change detection by altering cortical dynamics, particularly in SST interneurons, leading to increased surprise signals.

The paper investigates how different stimulation frequencies and behavioral states influence neural responses during cortical electrical stimulation in mice.

Pupil-DLC is a deep learning pipeline for tracking pupil dynamics in mice and humans, showing high accuracy across various conditions and states.

The paper presents a database of spiking activity in the mouse visual system during an image change detection task, revealing task-specific coding patterns across brain regions.

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

The paper applies the reciprocity theorem to predict neural responses to intra- and extra-cranial electric brain stimulation, showing frequency-dependent effects and spatial orientation dependencies.

The paper investigates how cortical stimulation engages subcortical circuits in mice and humans, showing similar evoked potentials and thalamic contributions across species.

The paper analyzes neuronal variability across brain states to understand how factors like internal dynamics, behavior, and stimuli influence sensory processing over time.

This study challenges hierarchical predictive coding models by showing that prediction error responses in visual cortex do not involve feedforward processing and that predictive suppression is not mediated by inhibitory interneurons.

The paper introduces a statistical framework to identify pure cell types in spatial transcriptomic data by analyzing spatial avoidance patterns in the mouse neocortex.

The paper investigates how electric fields affect different cortical neuron classes, finding frequency-dependent entrainment and class-specific responses in rodent and human neurons.

The paper shows that chaotic dynamics in recurrent neural networks separate learning regimes and correlate with a consciousness measure, suggesting a link between critical dynamics, learning, and consciousness.

The paper examines how different behavioral strategies in mice affect neural activity in the Vip-Sst disinhibitory circuit during a visual change detection task.

This study shows that backward masking in mice requires visual cortex, as optogenetic silencing of the cortex restores target discrimination.

The paper identifies transcriptomic and morpho-electric diversity in human neocortical layer 1 interneurons, revealing greater subclass distinction compared to mouse.

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

The paper uses biophysical simulations of mouse primary visual cortex to show that current sinks and sources are shaped by both synaptic weights and dendritic placement, with distinct contributions from thalamocortical inputs and cortical feedback.

The paper examines cortico-thalamo-cortical interactions in mice by analyzing EEG responses to cortical stimulation during wakefulness and anesthesia.

A preregistered multimodal neuroimaging study across 256 human participants directly tests Integrated Information Theory against Global Neuronal Workspace Theory, confirming some predictions while revealing major empirical challenges for both.

BigNeuron benchmarks automatic neuron reconstruction algorithms using gold standard annotations and image quality metrics, showing that consensus methods outperform individual algorithms.

This paper uses Neuropixels recordings to analyze neurophysiological differentiation (ND) in mouse visual brain areas across timescales, finding higher ND for naturalistic stimuli and successful detection trials.

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

This study maps the cell-type-specific afferent and efferent projections of the mouse claustrum using viral tracing and single-neuron reconstruction, revealing its widespread connections and regional specificity.

This study characterizes and simulates changes in human hippocampal granule cells during epilepsy progression, identifying ion channel modifications that increase excitability.

This study shows that claustrum input affects cortical neurons differently based on brain area, layer, and cell type, suggesting functional modules in claustro-cortical circuits.

The paper generates and evaluates over 130 million single-neuron models with active conductances to link electrophysiology, morphology, and transcriptomics across cortical cell types.

The paper presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

The paper measures stimulus-evoked neurophysiological differentiation in mouse visual cortex neurons across layers and areas, finding greater differentiation in specific layers and areas for unscrambled stimuli.

DeepInterpolation improves signal-to-noise ratio in neuroscience data without sacrificing resolution, enhancing detection of neuronal activity across multiple modalities.