scholarly journals Color tuning of neurons in face patches of macaque inferior temporal cortex

2019 ◽  
Author(s):  
Marianne Duyck ◽  
Tessa J. Gruen ◽  
Lawrence Y. Tello ◽  
Serena Eastman ◽  
Joshua Fuller-Deets ◽  
...  
Keyword(s):  
Second Harmonic ◽  
Temporal Cortex ◽  
Luminance Contrast ◽  
Macaque Monkey ◽  
Inferior Temporal Cortex ◽  
Color Tuning ◽  
Quantitative Measurements ◽  
Cone Activity ◽  
Insight Into

Previous work has shown that under viewing conditions that break retinal mechanisms for color, one class of objects appears paradoxically colored: faces, and they look green. Interpreted within a Bayesian-observer framework, this observation makes the surprising prediction that face-selective neurons are sensitive to color and weakly biased for colors that elicit L>M cone activity (warm colors). We tested this hypothesis by measuring color-tuning responses of face-selective cells in alert macaque monkey, using fMRI-guided microelectrode recording of the middle and anterior face patches and carefully color-calibrated stimuli. The population of face-selective neurons showed significant color tuning when assessed using images that preserved the luminance contrast relationships of the original face photographs. A Fourier analysis of the color-tuning responses uncovered two components. The first harmonic was biased towards the L>M colors, consistent with the prediction. Interestingly, the second harmonic aligned with the S-cone cardinal axis, which may relate to the computation of animacy by IT cells.SignificanceThe results provide the first quantitative measurements of the color tuning properties of face-selective neurons. The results provide insight into the neural mechanisms that could support the role of color in face perception.

scholarly journals P1-5: Effect of Luminance Contrast on the Color Selective Responses in the Inferior Temporal Cortex Neurons of the Macaque Monkey

i-Perception ◽  
10.1068/if619 ◽  
2012 ◽  
Vol 3 (9) ◽  
pp. 619-619
Author(s):  
Tomoyuki Namima ◽  
Masaharu Yasuda ◽  
Taku Banno ◽  
Hidehiko Komatsu
Keyword(s):  
Temporal Cortex ◽  
Luminance Contrast ◽  
Macaque Monkey ◽  
Inferior Temporal Cortex

Role of inferior temporal cortex in interhemispheric transfer

1979 ◽  
Vol 167 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Lynne Seacord ◽  
Charles G. Gross ◽  
Mortimer Mishkin
Keyword(s):  
Temporal Cortex ◽  
Interhemispheric Transfer ◽  
Inferior Temporal Cortex

Presumed Inhibitory Neurons in the Macaque Inferior Temporal Cortex: Visual Response Properties and Functional Interactions With Adjacent Neurons

2004 ◽  
Vol 91 (6) ◽  
pp. 2782-2796 ◽  
Author(s):  
Hiroshi Tamura ◽  
Hidekazu Kaneko ◽  
Keisuke Kawasaki ◽  
Ichiro Fujita
Keyword(s):  
Temporal Cortex ◽  
Inferior Temporal Cortex ◽  
Inhibitory Neurons ◽  
Visual Features ◽  
Similar Degree ◽  
Visual Response ◽  
Response Properties ◽  
Cross Correlation Analysis ◽  
Area Te

Neurons in area TE of the monkey inferior temporal cortex respond selectively to images of particular objects or their characteristic visual features. The mechanism of generation of the stimulus selectivity, however, is largely unknown. This study addresses the role of inhibitory TE neurons in this process by examining their visual response properties and interactions with adjacent target neurons. We applied cross-correlation analysis to spike trains simultaneously recorded from pairs of adjacent neurons in anesthetized macaques. Neurons whose activity preceded a decrease in activity from their partner were presumed to be inhibitory neurons. Excitatory neurons were also identified as the source neuron of excitatory linkage as evidenced by a sharp peak displaced from the 0-ms bin in cross-correlograms. Most inhibitory neurons responded to a variety of visual stimuli in our stimulus set, which consisted of several dozen geometrical figures and photographs of objects, with a clear stimulus preference. On average, 10% of the stimuli increased firing rates of the inhibitory neurons. Both excitatory and inhibitory neurons exhibited a similar degree of stimulus selectivity. Although inhibitory neurons occasionally shared the most preferred stimuli with their target neurons, overall stimulus preferences were less similar between adjacent neurons with inhibitory linkages than adjacent neurons with common inputs and/or excitatory linkages. These results suggest that inhibitory neurons in area TE are activated selectively and exert stimulus-specific inhibition on adjacent neurons, contributing to shaping of stimulus selectivity of TE neurons.

N250 ERP Correlates of the Acquisition of Face Representations across Different Images

2009 ◽  
Vol 21 (4) ◽  
pp. 625-641 ◽  
Author(s):  
Jürgen M. Kaufmann ◽  
Stefan R. Schweinberger ◽  
A. Mike Burton
Keyword(s):  
Face Recognition ◽  
Semantic Information ◽  
Brain Research ◽  
Temporal Cortex ◽  
Recognition Task ◽  
Visual Presentation ◽  
Inferior Temporal Cortex ◽  
Video Clips ◽  
The Face

We used ERPs to investigate neural correlates of face learning. At learning, participants viewed video clips of unfamiliar people, which were presented either with or without voices providing semantic information. In a subsequent face-recognition task (four trial blocks), learned faces were repeated once per block and presented interspersed with novel faces. To disentangle face from image learning, we used different images for face repetitions. Block effects demonstrated that engaging in the face-recognition task modulated ERPs between 170 and 900 msec poststimulus onset for learned and novel faces. In addition, multiple repetitions of different exemplars of learned faces elicited an increased bilateral N250. Source localizations of this N250 for learned faces suggested activity in fusiform gyrus, similar to that found previously for N250r in repetition priming paradigms [Schweinberger, S. R., Pickering, E. C., Jentzsch, I., Burton, A. M., & Kaufmann, J. M. Event-related brain potential evidence for a response of inferior temporal cortex to familiar face repetitions. Cognitive Brain Research, 14, 398–409, 2002]. Multiple repetitions of learned faces also elicited increased central–parietal positivity between 400 and 600 msec and caused a bilateral increase of inferior–temporal negativity (>300 msec) compared with novel faces. Semantic information at learning enhanced recognition rates. Faces that had been learned with semantic information elicited somewhat less negative amplitudes between 700 and 900 msec over left inferior–temporal sites. Overall, the findings demonstrate a role of the temporal N250 ERP in the acquisition of new face representations across different images. They also suggest that, compared with visual presentation alone, additional semantic information at learning facilitates postperceptual processing in recognition but does not facilitate perceptual analysis of learned faces.

Functional mapping of the inferior temporal cortex (IT) of the macaque monkey

1988 ◽  
Vol 7 ◽  
pp. S212
Author(s):  
Keiji Tanaka ◽  
Hide-Aki Saito ◽  
Yoshiro Fukada ◽  
Madoka Fukumoto
Keyword(s):  
Temporal Cortex ◽  
Macaque Monkey ◽  
Functional Mapping ◽  
Inferior Temporal Cortex

Neural Bases and Development of Face Recognition in Autism

CNS Spectrums ◽  
2001 ◽  
Vol 6 (1) ◽  
pp. 36-44,57-59 ◽  
Author(s):  
David J. Marcus ◽  
Charles A. Nelson
Keyword(s):  
Face Recognition ◽  
Cognitive Neuroscience ◽  
Temporal Cortex ◽  
Neural Correlates ◽  
Neural System ◽  
Inferior Temporal Cortex ◽  
Object Processing ◽  
Neuroscience Research ◽  
Further Development

AbstractThis paper critically examines the literature on face recognition in autism, including a discussion of the neural correlates of this ability. The authors begin by selectively reviewing the behavioral and cognitive neuroscience research on whether faces are represented by a “special” behavioral and neural system—one distinct from object processing. The authors then offer a neuroconstructivist model that attempts to account for the robust finding that certain regions in the inferior temporal cortex are recruited in the service of face recognition. This is followed by a review of the evidence supporting the view that face recognition is atypical in individuals with autism. This face-recognition deficit may indicate a continued risk for the further development of social impairments. The authors conclude by speculating on the role of experience in contributing to this atypical developmental pattern and its implications for normal development of face processing.

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