Publication Date:
2016-03-26
Description:
Latimeret al (Reports, 10 July 2015, p. 184) claim that during perceptual decision formation, parietal neurons undergo one-time, discrete steps in firing rate instead of gradual changes that represent the accumulation of evidence. However, that conclusion rests on unsubstantiated assumptions about the time window of evidence accumulation, and their stepping model cannot explain existing data as effectively as evidence-accumulation models.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shadlen, Michael N -- Kiani, Roozbeh -- Newsome, William T -- Gold, Joshua I -- Wolpert, Daniel M -- Zylberberg, Ariel -- Ditterich, Jochen -- de Lafuente, Victor -- Yang, Tianming -- Roitman, Jamie -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1406. doi: 10.1126/science.aad3242.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute (HHMI) and Department of Neuroscience, Columbia University, New York, NY, USA. shadlen@columbia.edu. ; Center for Neural Science, New York University, New York, NY, USA. ; HHMI and Stanford University, Stanford, CA, USA. ; Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA. ; Department of Engineering, University of Cambridge, Cambridge, UK. ; HHMI and Department of Neuroscience, Columbia University, New York, NY, USA. ; Center for Neuroscience and Department of Neurobiology, Physiology, and Behavior, University of California, Davis, CA, USA. ; Institute for Neuroscience, National Autonomous University of Mexico, Queretaro, Mexico. ; Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China. ; Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013723" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Choice Behavior/*physiology
;
Decision Making/*physiology
;
Male
;
Parietal Lobe/*physiology
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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