Daniel Birman

This paper introduces a curvilinear coordinate flatmap method to visualize hippocampal structure and development, revealing topographic variations obscured in standard coordinate systems.

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 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.

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.

The paper investigates traveling spiral waves in the brain, showing they are organized across spatial scales and coordinated with subcortical patterns.

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

Pinpoint is a web-based tool for planning and automating multi-probe electrophysiology and injection procedures in 3D space, improving efficiency and reproducibility.

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

The paper investigates whether spatial and feature-based attention share computational mechanisms by analyzing perceptual improvements in estimation tasks.

The paper develops a quantitative framework to model how motion visibility parameters modulate human cortical responses across visual areas.

MRIQC is a tool for predicting MRI image quality that generalizes across sites with 76% accuracy but struggles with site-specific artifacts.