When human participants are able to plan responses in a visuo-spatial working memory task, sensory-like representations of remembered spatial position in early visual and parietal cortex adaptively trade off with motor-like representations of upcoming actions in sensorimotor cortex.

A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.

Hippocampal sharp-wave sequences, which are considered the key phenomenon underlying consolidation of episodic memory, are preserved even after an animal’s memory is impaired.

An iterative procedure using language models allows the generation of sequences from protein families, which score similarly to natural and experimentally validated sequences, with particular promise for small families.

Evidence for multiple brain systems for sequence processing involving statistical inferences at multiple scales.

A high-throughput method to profile tyrosine kinases and phosphotyrosine recognition domains reveals new rules for sequence specificity and maps the effects of mutations on the recognition of tyrosine phosphorylation sites.

Through mathematical analysis and computer simulations, the neuronal underpinnings of feasible models of sequence learning are delineated.

In adolescent rats, whose actions are more impulsive, neuronal striatal activity that precedes self-initiated action sequences has a steeper modulation by waiting time compared to the modulation found in adults.

Large-scale, allele-resolved mapping of cis-regulatory function in F₁-hybrid mice reveals sequence determinants that control transcription factor binding and enhancer activity in native chromatin context.

The epistasis observed in TF-DNA binding preferences can be explained by the presence of two optima of very similar Gibbs energy that are located relatively far from each other in sequence space.