@article{d14f7adf03bd472e9875c16028bdbdfd,
title = "Representational geometry of perceptual decisions in the monkey parietal cortex",
abstract = "Lateral intraparietal (LIP) neurons represent formation of perceptual decisions involving eye movements. In circuit models for these decisions, neural ensembles that encode actions compete to form decisions. Consequently, representation and readout of the decision variables (DVs) are implemented similarly for decisions with identical competing actions, irrespective of input and task context differences. Further, DVs are encoded as partially potentiated action plans through balance of activity of action-selective ensembles. Here, we test those core principles. We show that in a novel face-discrimination task, LIP firing rates decrease with supporting evidence, contrary to conventional motion-discrimination tasks. These opposite response patterns arise from similar mechanisms in which decisions form along curved population-response manifolds misaligned with action representations. These manifolds rotate in state space based on context, indicating distinct optimal readouts for different tasks. We show similar manifolds in lateral and medial prefrontal cortices, suggesting similar representational geometry across decision-making circuits.",
keywords = "circuit model, decision making, face perception, frontal cortex, macaque monkey, motion perception, neural response manifold, parietal cortex, representational geometry, task difficulty",
author = "Gouki Okazawa and Hatch, {Christina E.} and Allan Mancoo and Machens, {Christian K.} and Roozbeh Kiani",
note = "Funding Information: The authors would like to thank Alex Pouget, Long Sha, Stanley Komban, Michael Waskom, Saleh Esteki, Bianca Sieveritz, Mike Shadlen, and Stefano Fusi for helpful discussions and comments on earlier versions of the manuscript. This work was supported by the Simons Collaboration on the Global Brain (542997 and 543009), McKnight Scholar Award, Pew Scholarship in the Biomedical Sciences, and National Institute of Mental Health (R01 MH109180-01). G.O. was supported by post-doctoral fellowships from the Charles H. Revson Foundation and the Japan Society for the Promotion of Science. C.E.H. was supported by National Eye Institute Training Grant in Visual Neuroscience (T32 EY007136). G.O. and R.K. conceived the study and wrote the manuscript. G.O. C.E.H. and R.K. collected the data. G.O. performed data analysis. A.M. and C.K.M. contributed to interpreting results and developed models. R.K. supervised and guided the study. All authors reviewed and edited the manuscript. The authors declare no competing interests. Funding Information: The authors would like to thank Alex Pouget, Long Sha, Stanley Komban, Michael Waskom, Saleh Esteki, Bianca Sieveritz, Mike Shadlen, and Stefano Fusi for helpful discussions and comments on earlier versions of the manuscript. This work was supported by the Simons Collaboration on the Global Brain ( 542997 and 543009 ), McKnight Scholar Award , Pew Scholarship in the Biomedical Sciences , and National Institute of Mental Health ( R01 MH109180-01 ). G.O. was supported by post-doctoral fellowships from the Charles H. Revson Foundation and the Japan Society for the Promotion of Science . C.E.H. was supported by National Eye Institute Training Grant in Visual Neuroscience ( T32 EY007136 ). Publisher Copyright: {\textcopyright} 2021 Elsevier Inc.",
year = "2021",
month = jul,
day = "8",
doi = "10.1016/j.cell.2021.05.022",
language = "English (US)",
volume = "184",
pages = "3748--3761.e18",
journal = "Cell",
issn = "0092-8674",
publisher = "Cell Press",
number = "14",
}