Surya T. Tokdar

The paper tests whether neurons multiplex signals when place coding is insufficient, finding that multiplexing increases when responses to individual stimuli become more similar.

The paper introduces an enhanced statistical framework to detect multiplexing in neuronal responses, confirming code juggling occurs on faster timescales and in specific brain regions.

The paper investigates how visual and auditory stimuli are represented in the inferior colliculus, finding that fluctuating neural activity occurs even when one stimulus is non-dominant.

The paper investigates how neural activity fluctuates in response to multiple visual stimuli in different cortical areas, suggesting fluctuating activity may underlie visual object formation.

The paper investigates how visual cortex encodes information about multiple objects by analyzing coding fluctuations in V1 and V4 neurons, showing coordinated population-level responses when stimuli form separate objects.

The paper evaluates the sensitivity and specificity of a Bayesian method for analyzing time-varying neural signals using synthetic data.

The paper shows single neurons can represent multiple simultaneous stimuli by switching between activity patterns, suggesting a general strategy for enhancing brain processing capacity.