skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Higher-Level Meta-Adaptation Mitigates Visual Distortions Produced by Lower-Level Adaptation
The visual system adapts to the environment, changing neural responses to aid efficiency and improve perception. However, these changes sometimes lead to negative consequences: If neurons at later processing stages fail to account for adaptation at earlier stages, perceptual errors result, including common visual illusions. These negative effects of adaptation have been termed the coding catastrophe. How does the visual system resolve them? We hypothesized that higher-level adaptation can correct errors arising from the coding catastrophe by changing what appears normal, a common form of adaptation across domains. Observers ( N = 15) viewed flickering checkerboards that caused a normal face to appear distorted. We tested whether the visual system can adapt to this adaptation-distorted face through repeated viewing. Results from two experiments show that such meta-adaptation does occur and that it makes the distorted face gradually appear more normal. Meta-adaptation may be a general strategy to correct negative consequences of low-level adaptation.  more » « less
Award ID(s):
1558308
PAR ID:
10546667
Author(s) / Creator(s):
 ;  
Publisher / Repository:
SAGE Publications
Date Published:
Journal Name:
Psychological Science
Volume:
31
Issue:
6
ISSN:
0956-7976
Format(s):
Medium: X Size: p. 654-662
Size(s):
p. 654-662
Sponsoring Org:
National Science Foundation
More Like this
  1. Graham, Lyle J (Ed.)
    Sensory neurons continually adapt their response characteristics according to recent stimulus history. However, it is unclear how such a reactive process can benefit the organism. Here, we test the hypothesis that adaptation actually acts proactively in the sense that it optimally adjusts sensory encoding for future stimuli. We first quantified human subjects’ ability to discriminate visual orientation under different adaptation conditions. Using an information theoretic analysis, we found that adaptation leads to a reallocation of coding resources such that encoding accuracy peaks at the mean orientation of the adaptor while total coding capacity remains constant. We then asked whether this characteristic change in encoding accuracy is predicted by the temporal statistics of natural visual input. Analyzing the retinal input of freely behaving human subjects showed that the distribution of local visual orientations in the retinal input stream indeed peaks at the mean orientation of the preceding input history (i.e., the adaptor). We further tested our hypothesis by analyzing the internal sensory representations of a recurrent neural network trained to predict the next frame of natural scene videos (PredNet). Simulating our human adaptation experiment with PredNet, we found that the network exhibited the same change in encoding accuracy as observed in human subjects. Taken together, our results suggest that adaptation-induced changes in encoding accuracy prepare the visual system for future stimuli. 
    more » « less
  2. Visually guided movements can show surprising accuracy even when the perceived three-dimensional (3D) shape of the target is distorted. One explanation of this paradox is that an evolutionarily specialized “vision-for-action” system provides accurate shape estimates by relying selectively on stereo information and ignoring less reliable sources of shape information like texture and shading. However, the key support for this hypothesis has come from studies that analyze average behavior across many visuomotor interactions where available sensory feedback reinforces stereo information. The present study, which carefully accounts for the effects of feedback, shows that visuomotor interactions with slanted surfaces are actually planned using the same cue-combination function as slant perception and that apparent dissociations can arise due to two distinct supervised learning processes: sensorimotor adaptation and cue reweighting. In two experiments, we show that when a distorted slant cue biases perception (e.g., surfaces appear flattened by a fixed amount), sensorimotor adaptation rapidly adjusts the planned grip orientation to compensate for this constant error. However, when the distorted slant cue is unreliable, leading to variable errors across a set of objects (i.e., some slants are overestimated, others underestimated), then relative cue weights are gradually adjusted to reduce the misleading effect of the unreliable cue, consistent with previous perceptual studies of cue reweighting. The speed and flexibility of these two forms of learning provide an alternative explanation of why perception and action are sometimes found to be dissociated in experiments where some 3D shape cues are consistent with sensory feedback while others are faulty. NEW & NOTEWORTHY When interacting with three-dimensional (3D) objects, sensory feedback is available that could improve future performance via supervised learning. Here we confirm that natural visuomotor interactions lead to sensorimotor adaptation and cue reweighting, two distinct learning processes uniquely suited to resolve errors caused by biased and noisy 3D shape cues. These findings explain why perception and action are often found to be dissociated in experiments where some cues are consistent with sensory feedback while others are faulty. 
    more » « less
  3. Unmanned systems are becoming increasingly engaged in disaster response. Human error in these applications can have severe consequences and emergency managers appear reluctant to adopt robots. This paper presents a taxonomy of normal and off-normal scenarios that, when combined with a model of impacts on cognitive and attentional resources, specify sources of human error in field robotics. In an emergency, a human is under time and consequences pressure, regardless of whether the mission is routine or whether the event requires a change in the robot, the mission, the robot’s work envelope, the interaction of the humans engaged with the robot, or their work envelope. For example, at Hurricane Michael, unmanned aerial systems were used for standard visual survey missions with minor human errors but the same systems were used at the Kilauea volcanic eruption for novel missions with more notable human errors. An examination of two cases studies suggests the physiological and psychological effects of an emergency may be the primary source of human error. 
    more » « less
  4. Abstract It is well established that people adapt to statistical regularities at phonological, lexical, and syntactic levels. Much less is known about adaptation to discourse‐level structures, such as adaptation to structures defined as the relationship between a pronoun and its antecedent. To fill this gap, this paper reviews studies on the learning of referential patterns by asking (1) do people represent referential structures, (2) how long do discourse‐level representations last, (3) how specific are representations that are used for referential adaptation, (4) what mechanisms underlie this adaptation, and (5) what the current methods are used to test referential adaptation. This paper also briefly summarises the work on adaptation at other linguistic levels. This line of work extends adaptation to higher‐level structures and demonstrates how people learn language patterns that drive successful communication and reading skills. 
    more » « less
  5. Abstract BackgroundReal‐world engineering problems are ill‐defined and complex, and solving them may arouse negative epistemic affect (feelings experienced within problem‐solving). These feelings fall into sequenced patterns (affective pathways). Over time, these patterns can alter students' attitudes toward engineering. Meta‐affect (affect or cognition about affect) can shape or reframe affective pathways, changing a student's problem‐solving experience. Purpose/Hypothesis(es)This paper examines epistemic affect and meta‐affect in undergraduate students solving ill‐defined problems called open‐ended modeling problems (OEMPs), addressing two research questions: What epistemic affect and transitions between different affective states do students report? And, how does meta‐affect shape students' affective experiences? Design/MethodWe examined 11 retrospective interviews with nine students performed across two semesters in which students completed OEMPs. Using inductive and deductive coding with discourse analysis, we systematically searched for expressions conveying epistemic affect and for transitions in affect; we performed additional deductive coding of the transcripts for meta‐affect and synthesized these results to formulate narratives related to affect and meta‐affect. ResultsTogether, the expressions, transitions, and meta‐affect suggest different types of student experiences. Depending on their meta‐affect, students either recounted experiences dominated by positive or negative affect, or else they experienced negative emotions as productive. ConclusionsIll‐defined complex problems elicit a wide range of positive and negative emotions and provide opportunities to practice affective regulation and productive meta‐affect. Viewing the OEMPs as authentic disciplinary experiences and/or the ability to view negative emotions as productive can enable overall positive experiences. Our results provide insight into how instructors can foster positive affective pathways through problem‐scaffolding or their interactions with students. 
    more » « less