Perceptual response patterns in rhesus macaque attentional set shifting are associated with inflexible behavior
Abstract
The attentional set shifting task has been used across species to assess cognitive flexibility. Each phase of the task requires an animal to update their behavior based on a different rule that determines which feature of a complex stimulus is signaling a correct response. The present study used male and female rhesus monkey data to assess how response patterns were used in attentional set shifting, as it relates to cognitive flexibility. The formation of an attentional set where trials to criteria were higher in the extradimensional shift than the intradimensional shift, as well as elevated trials to criteria at the first reversal phase were observed after experience with the task. Bayesian analysis was used to detect the emergence of dominant response patterns, reflecting consecutive trials on which monkeys consistently selected stimuli sharing a particular feature: spatial location, shape, or color. This analysis revealed that monkeys that successfully complete the task do not heavily rely on a single dominant response pattern until they have accumulated sufficient evidence about which exemplar signals reinforcement. On the other hand, monkeys that do not complete the full task tend to deploy stronger perceptual response patterns, either indicating a tendency to perseverate on response patterns that are not reinforced or a tendency to sequentially attempt perceptual response patterns. The current data suggest that higher cognitive flexibility involves response patterns…
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.