Ana Paqui Palenciano
Principal Investigator - Mind, Brain and Behavior Research Center, University of Granada
Principal Investigator - Mind, Brain and Behavior Research Center, University of Granada
I am a cognitive neuroscientist at the Mind, Brain and Behavior Research Center (CIMCYC) from the University of Granada (Spain). I'm broadly interested in neural representations, particularly those conveying complex task information. In my research, I combine experimental psychology, neuroimaging (fMRI, EEG), and pattern analyses to better understand cognitive control.
I completed my PhD at Maria Ruz's lab, exploring how novel, instructed demands are reformatted into efficient task representations. As a postdoc, I worked with Baptist Liefooghe and Marcel Brass at Ghent University, where I addressed the role of lower-level sensorimotor processes in proactive task control. Back in Granada, I investigate whether task-driven coding architectures are shaped by overarching contextual demands
I am passionate about teaching -both at the Psychology bachelor's program and in advanced methodology seminars- and scientific outreach, where I try to disseminate (neuro)scientific knowledge to promote critical thinking and gender equality.
You can also contact me by e-mail here,
This research project, funded by the Spanish Ministry of Universities [PID2023-151911NA-I00], focuses on the principles by which task information is encoded in distributed brain activity, addressing the hypothesis that these mechanisms are determined by (and fine-tuned to) current computational demands. Previous literature has identified two main coding architectures that support cognitive control: conjunctive coding, where tasks are represented by context-unique and highly segregated activity patterns, and compositional coding, where abstract neural codes are recombined to generalize to novel task settings. Our project aims to examine whether and how different contextual factors shape the neural space toward the conjunctive or compositional extremes, thereby supporting adaptive, goal-oriented behavior. To achieve this, we will explore where (fMRI) and when (EEG) in the brain neural task codes emerge, employing a comprehensive multivariate pattern analysis protocol to characterize the underlying representational geometries.