Combining psychophysics and functional MRI reveals a qualitative asymmetry in neural engagement when reflecting on whether a stimulus is seen (detection) compared to reflecting on what a stimulus is (discrimination).

Perceptual decision making, even in simple scenarios, is affected by sensory and decisional choice biases.

Statistical analysis of evidence-based decisions reveals new insights into the source of behavioral variability.

Consideration of signal detection theory shows how decision ecology relates to optimal collective decisions, helping explain the prevalence of quorum-sensing in even the simplest collective systems, such as bacterial communities.

Fluctuations of spectral power in large-scale cortical networks shape behavior in a perceptual decision-making task through arousal-linked and arousal-independent mechanisms.

Modulation of moment-to-moment irregularity of neural activity closely tracks our ability to flexibly adapt decision biases to the environment.

Error detection is contingent on the continuation of evidence accumulation after choice commitment, and the speed and accuracy of this process are modulated by high-level signals from medial frontal cortex.

FAST^M is a novel technique that leverages phase-sensitive signal detection for time-resolved multiplexing of probes with millisecond time resolution, opening new opportunities for interrogating rapid cellular signaling and (bio)chemical reactions.

Fluorescence detected sedimentation velocity offers a new method for studying heterogeneous protein interactions in solution by exploiting characteristic temporal signal modulations of photoswitchable fluorescent proteins.

Development of a new system for gold particle detection of a genetic tag for electron microscopy.