scholarly journals Reassessing optimal neural population codes with neurometric functions

2011 ◽  
Vol 108 (11) ◽  
pp. 4423-4428 ◽  
Author(s):  
P. Berens ◽  
A. S. Ecker ◽  
S. Gerwinn ◽  
A. S. Tolias ◽  
M. Bethge
2019 ◽  
Vol 30 (4) ◽  
pp. 2659-2673
Author(s):  
Shaun L Cloherty ◽  
Jacob L Yates ◽  
Dina Graf ◽  
Gregory C DeAngelis ◽  
Jude F Mitchell

Abstract Visual motion processing is a well-established model system for studying neural population codes in primates. The common marmoset, a small new world primate, offers unparalleled opportunities to probe these population codes in key motion processing areas, such as cortical areas MT and MST, because these areas are accessible for imaging and recording at the cortical surface. However, little is currently known about the perceptual abilities of the marmoset. Here, we introduce a paradigm for studying motion perception in the marmoset and compare their psychophysical performance with human observers. We trained two marmosets to perform a motion estimation task in which they provided an analog report of their perceived direction of motion with an eye movement to a ring that surrounded the motion stimulus. Marmosets and humans exhibited similar trade-offs in speed versus accuracy: errors were larger and reaction times were longer as the strength of the motion signal was reduced. Reverse correlation on the temporal fluctuations in motion direction revealed that both species exhibited short integration windows; however, marmosets had substantially less nondecision time than humans. Our results provide the first quantification of motion perception in the marmoset and demonstrate several advantages to using analog estimation tasks.


2016 ◽  
Vol 39 ◽  
Author(s):  
Carolyn Parkinson ◽  
Thalia Wheatley

AbstractMultivariate pattern analysis can address many of the challenges for cognitive neuroscience highlighted in After Phrenology (Anderson 2014) by illuminating the information content of brain regions and by providing insight into whether functional overlap reflects the recruitment of common or distinct computational mechanisms. Further, failing to consider submaximal but reliable population responses can lead to an overly modular account of brain function.


2002 ◽  
Vol 44-46 ◽  
pp. 691-696 ◽  
Author(s):  
M.Brandon Westover ◽  
Chris Eliasmith ◽  
Charles H Anderson

2003 ◽  
Vol 13 (2) ◽  
pp. 238-249 ◽  
Author(s):  
Terence D Sanger

2013 ◽  
Vol 9 (3) ◽  
pp. e1002922 ◽  
Author(s):  
Einat Granot-Atedgi ◽  
Gašper Tkačik ◽  
Ronen Segev ◽  
Elad Schneidman

2019 ◽  
Vol 19 (10) ◽  
pp. 6a
Author(s):  
Fabian Soto ◽  
Justin L. Gardner ◽  
Rosie Cowell ◽  
Kara Emery ◽  
Jason Hays ◽  
...  

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