Mirror mediated object discrimination and self-directed behavior in a female gorilla

Primates ◽  
1995 ◽  
Vol 36 (4) ◽  
pp. 515-521 ◽  
Author(s):  
India S. Nicholson ◽  
Jay E. Gould
Keyword(s):  
Object Discrimination ◽  
Female Gorilla ◽  
Mirror Mediated Object Discrimination

scholarly journals Exploring Object Discrimination in Zebrafish: Behavioral Performance and Scopolamine-Induced Cognitive Deficits at Different Retention Intervals

Zebrafish ◽  
2019 ◽  
Vol 16 (4) ◽  
pp. 370-378
Author(s):  
Flavia V. Stefanello ◽  
Barbara D. Fontana ◽  
Paola R. Ziani ◽  
Talise E. Müller ◽  
Nathana J. Mezzomo ◽  
...  
Keyword(s):  
Cognitive Deficits ◽  
Behavioral Performance ◽  
Object Discrimination ◽  
Retention Intervals

Face Perception in Face Transplant Patients

2019 ◽  
Vol 35 (05) ◽  
pp. 525-533
Author(s):  
Evrim Gülbetekin ◽  
Seda Bayraktar ◽  
Özlenen Özkan ◽  
Hilmi Uysal ◽  
Ömer Özkan
Keyword(s):  
Face Recognition ◽  
Object Recognition ◽  
Face Processing ◽  
Recognition Performance ◽  
Discrimination Performance ◽  
Object Discrimination ◽  
Face Transplantation ◽  
Transplant Patients ◽  
Facial Surgery ◽  
The Face

AbstractThe authors tested face discrimination, face recognition, object discrimination, and object recognition in two face transplantation patients (FTPs) who had facial injury since infancy, a patient who had a facial surgery due to a recent wound, and two control subjects. In Experiment 1, the authors showed them original faces and morphed forms of those faces and asked them to rate the similarity between the two. In Experiment 2, they showed old, new, and implicit faces and asked whether they recognized them or not. In Experiment 3, they showed them original objects and morphed forms of those objects and asked them to rate the similarity between the two. In Experiment 4, they showed old, new, and implicit objects and asked whether they recognized them or not. Object discrimination and object recognition performance did not differ between the FTPs and the controls. However, the face discrimination performance of FTP2 and face recognition performance of the FTP1 were poorer than that of the controls were. Therefore, the authors concluded that the structure of the face might affect face processing.

Effect of background clutter on neural discrimination in the bat auditory midbrain

2021 ◽  
Author(s):  
Kathryne M Allen ◽  
Angeles Salles ◽  
Sanwook Park ◽  
Mounya Elhilali ◽  
Cynthia F. Moss
Keyword(s):  
Acoustic Scattering ◽  
Object Discrimination ◽  
Complex Environments ◽  
Acoustic Features ◽  
Temporal Separation ◽  
Complex Sounds ◽  
Electrophysiological Recordings ◽  
Background Clutter ◽  
Spatio Temporal ◽  
Neural Underpinnings

The discrimination of complex sounds is a fundamental function of the auditory system. This operation must be robust in the presence of noise and acoustic clutter. Echolocating bats are auditory specialists that discriminate sonar objects in acoustically complex environments. Bats produce brief signals, interrupted by periods of silence, rendering echo snapshots of sonar objects. Sonar object discrimination requires that bats process spatially and temporally overlapping echoes to make split-second decisions. The mechanisms that enable this discrimination are not well understood, particularly in complex environments. We explored the neural underpinnings of sonar object discrimination in the presence of acoustic scattering caused by physical clutter. We performed electrophysiological recordings in the inferior colliculus of awake big brown bats, to broadcasts of pre-recorded echoes from physical objects. We acquired single unit responses to echoes and discovered a sub-population of IC neurons that encode acoustic features that can be used to discriminate between sonar objects. We further investigated the effects of environmental clutter on this population's encoding of acoustic features. We discovered that the effect of background clutter on sonar object discrimination is highly variable and depends on object properties and target-clutter spatio-temporal separation. In many conditions, clutter impaired discrimination of sonar objects. However, in some instances clutter enhanced acoustic features of echo returns, enabling higher levels of discrimination. This finding suggests that environmental clutter may augment acoustic cues used for sonar target discrimination and provides further evidence in a growing body of literature that noise is not universally detrimental to sensory encoding.

scholarly journals Object discrimination in pigeons: Effects of local and global cues

2006 ◽  
Vol 46 (8-9) ◽  
pp. 1361-1374 ◽  
Author(s):  
Olga F. Lazareva ◽  
Shaun P. Vecera ◽  
Edward A. Wasserman
Keyword(s):  
Object Discrimination

scholarly journals Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

2018 ◽  
Author(s):  
Rishi Rajalingham ◽  
Elias B. Issa ◽  
Pouya Bashivan ◽  
Kohitij Kar ◽  
Kailyn Schmidt ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
High Resolution ◽  
Large Scale ◽  
State Of The Art ◽  
Neural Mechanisms ◽  
Mechanistic Models ◽  
Object Discrimination ◽  
Ann Models ◽  
Artificial Neural

ABSTRACTPrimates—including humans—can typically recognize objects in visual images at a glance even in the face of naturally occurring identity-preserving image transformations (e.g. changes in viewpoint). A primary neuroscience goal is to uncover neuron-level mechanistic models that quantitatively explain this behavior by predicting primate performance for each and every image. Here, we applied this stringent behavioral prediction test to the leading mechanistic models of primate vision (specifically, deep, convolutional, artificial neural networks; ANNs) by directly comparing their behavioral signatures against those of humans and rhesus macaque monkeys. Using high-throughput data collection systems for human and monkey psychophysics, we collected over one million behavioral trials for 2400 images over 276 binary object discrimination tasks. Consistent with previous work, we observed that state-of-the-art deep, feed-forward convolutional ANNs trained for visual categorization (termed DCNNIC models) accurately predicted primate patterns of object-level confusion. However, when we examined behavioral performance for individual images within each object discrimination task, we found that all tested DCNNIC models were significantly non-predictive of primate performance, and that this prediction failure was not accounted for by simple image attributes, nor rescued by simple model modifications. These results show that current DCNNIC models cannot account for the image-level behavioral patterns of primates, and that new ANN models are needed to more precisely capture the neural mechanisms underlying primate object vision. To this end, large-scale, high-resolution primate behavioral benchmarks—such as those obtained here—could serve as direct guides for discovering such models.SIGNIFICANCE STATEMENTRecently, specific feed-forward deep convolutional artificial neural networks (ANNs) models have dramatically advanced our quantitative understanding of the neural mechanisms underlying primate core object recognition. In this work, we tested the limits of those ANNs by systematically comparing the behavioral responses of these models with the behavioral responses of humans and monkeys, at the resolution of individual images. Using these high-resolution metrics, we found that all tested ANN models significantly diverged from primate behavior. Going forward, these high-resolution, large-scale primate behavioral benchmarks could serve as direct guides for discovering better ANN models of the primate visual system.

scholarly journals Reversible inactivation of different millimeter-scale regions of primate IT results in different patterns of core object recognition deficits

2018 ◽  
Author(s):  
Rishi Rajalingham ◽  
James J. DiCarlo
Keyword(s):  
Object Recognition ◽  
Direct Evidence ◽  
Visual Object ◽  
Visual Object Recognition ◽  
Object Discrimination ◽  
Behavioral Deficits ◽  
Reversible Inactivation

Extensive research suggests that the inferior temporal (IT) population supports visual object recognition behavior. However, causal evidence for this hypothesis has been equivocal, particularly beyond the specific case of face-selective sub-regions of IT. Here, we directly tested this hypothesis by pharmacologically inactivating individual, millimeter-scale sub-regions of IT while monkeys performed several object discrimination tasks, interleaved trial-by-trial. First, we observed that IT inactivation resulted in reliable contralateral-biased task-selective behavioral deficits. Moreover, inactivating different IT sub-regions resulted in different patterns of task deficits, each predicted by that sub-region’s neuronal object discriminability. Finally, the similarity between different inactivation effects was tightly related to the anatomical distance between corresponding inactivation sites. Taken together, these results provide direct evidence that IT cortex causally supports general core object recognition, and that the underlying IT codes are topographically organized.

scholarly journals Facilitatory effects of expectation on object discrimination

2010 ◽  
Vol 8 (6) ◽  
pp. 136-136
Author(s):  
A. Puri ◽  
D. Whitney ◽  
C. Ranganath
Keyword(s):  
Object Discrimination

Abnormal Menstrual Cycles in the Female Gorilla (Gorilla gorilla)

1982 ◽  
Vol 13 (4) ◽  
pp. 143 ◽  
Author(s):  
W. R. Mitchell ◽  
N. M. Loskutoff ◽  
N. M. Czekala ◽  
B. L. Lasley
Keyword(s):  
Gorilla Gorilla ◽  
Gorilla Gorilla Gorilla ◽  
Menstrual Cycles ◽  
Female Gorilla

Growth of infant female gorilla

1930 ◽  
Vol 14 (2) ◽  
pp. 165-176 ◽  
Author(s):  
Charles V. Noback
Keyword(s):  
Female Gorilla
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