Noam Roth

Age-related changes in behavioural and neural variability in a decision-making task

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.

A flexible quality metric for electrophysiological recordings across brain regions and species

The paper introduces a new quality metric for electrophysiological recordings that adapts to varying refractory period durations across brain regions and species.

Brain-wide representations of prior information in mouse decision-making

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.

A Brain-Wide Map of Neural Activity during Complex Behaviour

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.

A common computational and neural anomaly across mouse models of autism

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

Reproducibility of in-vivo electrophysiological measurements in mice

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.

Interactive data exploration websites for large-scale electrophysiology

The paper introduces two public websites for exploring large-scale electrophysiology data from the International Brain Laboratory, enabling cross-platform access to behavioral trials and neuronal data.

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

This paper introduces a spike sorting-free decoding method using density-based modeling to improve neural decoding performance without explicitly clustering spikes.

Data architecture for a large-scale neuroscience collaboration

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

The integration of visual and target signals in V4 and IT during visual object search

The paper investigates how top-down signals are integrated in V4 and IT during visual object search, finding that IT integrates these signals directly rather than through feed-forward processing from V4.

Inferotemporal cortex multiplexes behaviorally-relevant target match signals and visual representations in a manner that minimizes their interference

This study identifies a target match signal in inferotemporal cortex that is behaviorally relevant and minimally interferes with visual representations during object search tasks.