Computer code comprehension shares neural resources with formal logical inference in the fronto-parietal network.

For brain imaging to be useful despite its limitations in measuring neural activity, the neural code must be smooth both in a traditional sense and functionally.

The proposed techniques enable researchers to disentangle the statistical features of neural population responses, and rigorously quantify how these features carry information about stimuli and experimental variables.

The human brain has a spatial code for representing temporal phonetic distinctions in speech.

The activity patterns of populations of neurons in the retina are organized as semantic clusters (analogous to synonyms), in which component patterns bear little physical resemblance to one another but convey the same meaning.

TGFβ and serotonin signaling in a neural circuit encodes food availability; these signals regulate the dynamic range and variability on the circuit to impact coding accuracy and lifespan responses.

A comprehensive resource based on analysis of the responses of embryonic ectoderm cells to signals from the 'organizer' (the node) including transcriptional responses and epigenetic changes with fine temporal dynamics, predicted regulatory interactions, and conservation among vertebrates.

Temporal continuity-induced plasticity in individual neurons of inferior temporal cortex builds neural representations that underlie robust core object recognition behavior.

Viewing a jumbled word activates an efficient visual representation in high-level visual cortex that is matched to stored words in the word form area.

The domain-general executive brain regions support the use of a novel cognitive tool even when it is structurally similar to natural language.