Sub-additivity and variability are ubiquitous response motifs in the primary visual cortex (V1).
Response sub-additivity enables the construction of useful interpretations of the visual …

The study of the brain's representations of uncertainty is a central topic in neuroscience.
Unlike most quantities of which the neural representation is studied, uncertainty is a property …

Decisions vary in difficulty. Humans know this and typically report more confidence in easy
than in difficult decisions. However, confidence reports do not perfectly track decision …

We address the problem of active map** with a continually-learned neural scene
representation, namely Active Neural Map**. The key lies in actively finding the target …

Understanding neural activity and information representation is crucial for advancing
knowledge of brain function and cognition. Neural activity, measured through techniques …

Cortical neurons exhibit highly variable responses over trials and time. Theoretical works
posit that this variability arises potentially from chaotic network dynamics of recurrently …

Navigating by path integration requires continuously estimating one's self-motion. This
estimate may be derived from visual velocity and/or vestibular acceleration signals …

Even in the absence of external stimuli, the brain is spontaneously active. Indeed, most
cortical activity is internally generated by recurrence. Both theoretical and experimental …

A range of perceptual and cognitive processes have been characterized from the
perspective of probabilistic representations and inference. To understand the neural circuit …

Prevailing theories of perception hypothesize that the brain implements perception via
Bayesian inference in a generative model of the world. One prominent theory, the Neural …