scholarly journals What can be inferred about changes in neural population codes from psychophysical threshold studies?

2019 ◽  
Vol 19 (10) ◽  
pp. 7
Author(s):  
Jason Hays ◽  
Fabian A. Soto
Keyword(s):  
Neural Population ◽  
Population Codes ◽  
Psychophysical Threshold

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
Keyword(s):  
Neural Population ◽  
Population Codes

scholarly journals Motion Perception in the Common Marmoset

2019 ◽  
Vol 30 (4) ◽  
pp. 2659-2673
Author(s):  
Shaun L Cloherty ◽  
Jacob L Yates ◽  
Dina Graf ◽  
Gregory C DeAngelis ◽  
Jude F Mitchell
Keyword(s):  
Motion Perception ◽  
Visual Motion ◽  
Common Marmoset ◽  
Neural Population ◽  
Motion Processing ◽  
Motion Direction ◽  
Visual Motion Processing ◽  
Trade Offs ◽  
Population Codes ◽  
The Common

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.

Reason for optimism: How a shifting focus on neural population codes is moving cognitive neuroscience beyond phrenology

2016 ◽  
Vol 39 ◽  
Author(s):  
Carolyn Parkinson ◽  
Thalia Wheatley
Keyword(s):  
Cognitive Neuroscience ◽  
Brain Function ◽  
Pattern Analysis ◽  
Brain Regions ◽  
Neural Population ◽  
Multivariate Pattern Analysis ◽  
Population Responses ◽  
Population Codes ◽  
Multivariate Pattern ◽  
Insight Into

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.

scholarly journals Linearly decodable functions from neural population codes

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

Neural population codes

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

scholarly journals Stimulus-dependent Maximum Entropy Models of Neural Population Codes

2013 ◽  
Vol 9 (3) ◽  
pp. e1002922 ◽  
Author(s):  
Einat Granot-Atedgi ◽  
Gašper Tkačik ◽  
Ronen Segev ◽  
Elad Schneidman
Keyword(s):  
Maximum Entropy ◽  
Neural Population ◽  
Maximum Entropy Models ◽  
Population Codes
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