Self-Motion Reproduction Can Be Affected by Associated Auditory Cues

Hopffgarten, Anna von; Bremmer, Frank

doi:10.1163/187847511x571005

Cited by 10 publications

(18 citation statements)

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“…Similar to our findings, von Hopffgarten and Bremmer (2011) showed in a recent study on self-motion reproduction that subjects are capable of learning an abstract relationship between a novel cue and the stimulus and exploit that information to improve their performance. In their study, the frequency of a simultaneous auditory signal indicated movement speed and was used by the subjects to improve self-motion reproduction.…”

Section: Discussionsupporting

confidence: 92%

Combining Symbolic Cues with Sensory Input and Prior Experience in an Iterative Bayesian Framework

Petzschner¹,

Maier²,

Glasauer³

2012

Front. Integr. Neurosci.

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Perception and action are the result of an integration of various sources of information, such as current sensory input, prior experience, or the context in which a stimulus occurs. Often, the interpretation is not trivial hence needs to be learned from the co-occurrence of stimuli. Yet, how do we combine such diverse information to guide our action? Here we use a distance production-reproduction task to investigate the influence of auxiliary, symbolic cues, sensory input, and prior experience on human performance under three different conditions that vary in the information provided. Our results indicate that subjects can (1) learn the mapping of a verbal, symbolic cue onto the stimulus dimension and (2) integrate symbolic information and prior experience into their estimate of displacements. The behavioral results are explained by to two distinct generative models that represent different structural approaches of how a Bayesian observer would combine prior experience, sensory input, and symbolic cue information into a single estimate of displacement. The first model interprets the symbolic cue in the context of categorization, assuming that it reflects information about a distinct underlying stimulus range (categorical model). The second model applies a multi-modal integration approach and treats the symbolic cue as additional sensory input to the system, which is combined with the current sensory measurement and the subjects’ prior experience (cue-combination model). Notably, both models account equally well for the observed behavior despite their different structural assumptions. The present work thus provides evidence that humans can interpret abstract symbolic information and combine it with other types of information such as sensory input and prior experience. The similar explanatory power of the two models further suggest that issues such as categorization and cue-combination could be explained by alternative probabilistic approaches.

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Section: Discussionsupporting

confidence: 92%

Combining Symbolic Cues with Sensory Input and Prior Experience in an Iterative Bayesian Framework

Petzschner¹,

Maier²,

Glasauer³

2012

Front. Integr. Neurosci.

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“…Humans can also modify their walking speed depending on optic flow (Prokop et al, 1997). Furthermore, optic flow can be used for collision detection (Lee, 1980) and for the estimation of traveled distance (Bremmer and Lappe, 1999; Frenz et al, 2003; von Hopffgarten and Bremmer, 2010). …”

Section: Introductionmentioning

confidence: 99%

Self-motion perception in the elderly

Lich

Bremmer

2014

Front. Hum. Neurosci.

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Self-motion through space generates a visual pattern called optic flow. It can be used to determine one's direction of self-motion (heading). Previous studies have already shown that this perceptual ability, which is of critical importance during everyday life, changes with age. In most of these studies subjects were asked to judge whether they appeared to be heading to the left or right of a target. Thresholds were found to increase continuously with age. In our current study, we were interested in absolute rather than relative heading judgments and in the question about a potential neural correlate of an age-related deterioration of heading perception. Two groups, older test subjects and younger controls, were shown optic flow stimuli in a virtual-reality setup. Visual stimuli simulated self-motion through a 3-D cloud of dots and subjects had to indicate their perceived heading direction after each trial. In different subsets of experiments we varied individually relevant stimulus parameters: presentation time, number of dots in the display, stereoscopic vs. non-stereoscopic stimulation, and motion coherence. We found decrements in heading performance with age for each stimulus parameter. In a final step we aimed to determine a putative neural basis of this behavioral decline. To this end we modified a neural network model which previously has proven to be capable of reproduce and predict certain aspects of heading perception. We show that the observed data can be modeled by implementing an age related neuronal cell loss in this neural network. We conclude that a continuous decline of certain aspects of motion perception, among them heading, might be based on an age-related progressive loss of groups of neurons being activated by visual motion.

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“…On the sensory side, visual (Bremmer and Lappe ; Lappe et al. ), auditory (von Hopffgarten & Bremmer ), tactile (Churan et al. ), and vestibular (Berthoz et al.…”

Section: Introductionmentioning

confidence: 99%

“…It is well-known, that path integration, i.e., the extraction and integration of motion information to guide spatial behavior, involves sensory and motor processing (Etienne and Jeffery 2004). On the sensory side, visual Lappe et al 2007), auditory (von Hopffgarten & Bremmer 2011), tactile , and vestibular (Berthoz et al 1995;Glasauer et al 2002) signals have been unequivocally shown to contribute to estimating traveled distance. On the motor side, as an example, efference copy signals of walking have been implicated in path integration behavior (Mittelstaedt and Mittelstaedt 2001).…”

Section: Introductionmentioning

confidence: 99%

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Eye movements during path integration

2018

Self Cite

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Self‐motion induces spontaneous eye movements which serve the purpose of stabilizing the visual image on the retina. Previous studies have mainly focused on their reflexive nature and how the perceptual system disentangles visual flow components caused by eye movements and self‐motion. Here, we investigated the role of eye movements in distance reproduction (path integration). We used bimodal (visual‐auditory)‐simulated self‐motion: visual optic flow was paired with an auditory stimulus whose frequency was scaled with simulated speed. The task of the subjects in each trial was, first, to observe the simulated self‐motion over a certain distance (Encoding phase) and, second, to actively reproduce the observed distance using only visual, only auditory, or bimodal feedback (Reproduction phase). We found that eye positions and eye speeds were strongly correlated between the Encoding and the Reproduction phases. This was the case even when reproduction relied solely on auditory information and thus no visual stimulus was presented. We believe that these correlations are indicative of a contribution of eye movements to path integration.

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Self-Motion Reproduction Can Be Affected by Associated Auditory Cues

Cited by 10 publications

References 0 publications

Combining Symbolic Cues with Sensory Input and Prior Experience in an Iterative Bayesian Framework

Combining Symbolic Cues with Sensory Input and Prior Experience in an Iterative Bayesian Framework

Self-motion perception in the elderly

Eye movements during path integration

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