Matteo Carandini

This study shows the superior colliculus contributes additively to logistic decision-making by promoting competing actions independently of stimuli.

The paper shows spatial position is represented across the brain in mice, with the hippocampal formation showing slightly more uniform representation than other regions.

The paper demonstrates that apical dendrites in L5 neurons of the mouse visual cortex drive responses to large stimuli rather than suppress them, with extended synaptic inputs.

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.

The paper finds two opposing neural populations in the mouse brain that explain brainwide blood volume fluctuations across states and regions.

The paper shows that stable neural activity sequences are present across the entire mouse brain and remain consistent over weeks.

This study shows how the basal ganglia transform visual signals into behaviorally relevant signals through task training in mice.

The paper introduces Zebra noise and a wavelet-based model to efficiently map visual preferences of thousands of neurons in the mouse visual cortex.

The paper develops two variants of a glutamate indicator with enhanced sensitivity and tailored deactivation rates for studying synaptic transmission in vivo.

This paper uses AI to discover an equation explaining how neuronal tuning smoothness controls population code geometry in visual cortex and head-direction cells.

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.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

The paper shows that layer 2/3 and layer 5 excitatory neurons in the mouse visual cortex encode visual and nonvisual signals differently, with L2/3 more responsive to visual stimuli and L5 more responsive to movement.

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

This study evaluates the reproducibility of electrophysiological measurements across ten labs using standardized protocols and finds that variability in electrode targeting and statistical methods affects reproducibility.

Suite3D improves 3D cell detection in two-photon microscopy by correcting motion and segmenting cells across planes, enhancing detectability and signal quality.

The paper introduces an adaptable implant for chronic Neuropixels recordings in mice, enabling stable, reusable, and lightweight neural recordings across multiple experimental conditions.

The paper presents a solvable RNN model showing low-dimensional latent dynamics can generate high-dimensional neuronal activity, and introduces NCE to demonstrate this in mouse visual cortex data.

The paper shows adaptation increases discriminability of frequent stimuli in mouse V1 by reshaping population response geometry, despite reduced individual neuron responses.

The paper introduces UnitMatch, a pipeline for tracking neurons across recordings using spike waveforms, showing stability in visual cortex and changes in striatum during learning.

The paper demonstrates that logistic classification models sensory and economic decisions, incorporating sensory inputs, prior probability, and brain manipulations.

The paper shows that MOs neurons in mice encode task variables nonlinearly, particularly during decision-making, allowing linear decoding of behavior even in the absence of direct sensory input.

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.

The paper shows that sound-evoked activity in mouse visual cortex is stereotyped and predictable from behavioral responses, suggesting it arises from low-dimensional internal state signals rather than direct multisensory integration.

This study shows that learning a visuomotor task increases visual stimulus-evoked activity in the medial prefrontal cortex, even during passive viewing.

The paper shows that neurons in mouse parietal cortex are task-specific, with their activity determined by physical context rather than task content.

The paper identifies a transcriptomic axis that predicts how cortical interneurons modulate activity across brain states.