Literature DB >> 26510765

The temporal dynamics of heading perception in the presence of moving objects.

Oliver W Layton1, Brett R Fajen2.   

Abstract

Many forms of locomotion rely on the ability to accurately perceive one's direction of locomotion (i.e., heading) based on optic flow. Although accurate in rigid environments, heading judgments may be biased when independently moving objects are present. The aim of this study was to systematically investigate the conditions in which moving objects influence heading perception, with a focus on the temporal dynamics and the mechanisms underlying this bias. Subjects viewed stimuli simulating linear self-motion in the presence of a moving object and judged their direction of heading. Experiments 1 and 2 revealed that heading perception is biased when the object crosses or almost crosses the observer's future path toward the end of the trial, but not when the object crosses earlier in the trial. Nonetheless, heading perception is not based entirely on the instantaneous optic flow toward the end of the trial. This was demonstrated in Experiment 3 by varying the portion of the earlier part of the trial leading up to the last frame that was presented to subjects. When the stimulus duration was long enough to include the part of the trial before the moving object crossed the observer's path, heading judgments were less biased. The findings suggest that heading perception is affected by the temporal evolution of optic flow. The time course of dorsal medial superior temporal area (MSTd) neuron responses may play a crucial role in perceiving heading in the presence of moving objects, a property not captured by many existing models.
Copyright © 2016 the American Physiological Society.

Keywords:  MSTd; heading perception; moving objects; optic flow; time

Mesh:

Year:  2015        PMID: 26510765      PMCID: PMC4760467          DOI: 10.1152/jn.00866.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  20 in total

1.  Controlling steering and judging heading: retinal flow, visual direction, and extraretinal information.

Authors:  Richard Wilkie; John Wann
Journal:  J Exp Psychol Hum Percept Perform       Date:  2003-04       Impact factor: 3.332

2.  MSTd neuronal basis functions for the population encoding of heading direction.

Authors:  S Ben Hamed; W Page; C Duffy; A Pouget
Journal:  J Neurophysiol       Date:  2003-05-15       Impact factor: 2.714

3.  A motion pooling model of visually guided navigation explains human behavior in the presence of independently moving objects.

Authors:  Oliver W Layton; Ennio Mingolla; N Andrew Browning
Journal:  J Vis       Date:  2012-01-24       Impact factor: 2.240

4.  Sensitivity of MST neurons to optic flow stimuli. I. A continuum of response selectivity to large-field stimuli.

Authors:  C J Duffy; R H Wurtz
Journal:  J Neurophysiol       Date:  1991-06       Impact factor: 2.714

5.  MST neurons respond to optic flow and translational movement.

Authors:  C J Duffy
Journal:  J Neurophysiol       Date:  1998-10       Impact factor: 2.714

6.  Computing heading in the presence of moving objects: a model that uses motion-opponent operators.

Authors:  Constance S Royden
Journal:  Vision Res       Date:  2002-12       Impact factor: 1.886

7.  Processing differential image motion.

Authors:  J H Rieger; D T Lawton
Journal:  J Opt Soc Am A       Date:  1985-02       Impact factor: 2.129

8.  Human heading judgments in the presence of moving objects.

Authors:  C S Royden; E C Hildreth
Journal:  Percept Psychophys       Date:  1996-08

9.  A model of self-motion estimation within primate extrastriate visual cortex.

Authors:  J A Perrone; L S Stone
Journal:  Vision Res       Date:  1994-11       Impact factor: 1.886

10.  Modeling heading and path perception from optic flow in the case of independently moving objects.

Authors:  Florian Raudies; Heiko Neumann
Journal:  Front Behav Neurosci       Date:  2013-04-01       Impact factor: 3.558

View more
  9 in total

1.  Causal inference accounts for heading perception in the presence of object motion.

Authors:  Kalpana Dokka; Hyeshin Park; Michael Jansen; Gregory C DeAngelis; Dora E Angelaki
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-17       Impact factor: 11.205

2.  Heading perception depends on time-varying evolution of optic flow.

Authors:  Charlie S Burlingham; David J Heeger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-16       Impact factor: 11.205

3.  A Neural Model of MST and MT Explains Perceived Object Motion during Self-Motion.

Authors:  Oliver W Layton; Brett R Fajen
Journal:  J Neurosci       Date:  2016-08-03       Impact factor: 6.167

4.  A simple approach to ignoring irrelevant variables by population decoding based on multisensory neurons.

Authors:  HyungGoo R Kim; Xaq Pitkow; Dora E Angelaki; Gregory C DeAngelis
Journal:  J Neurophysiol       Date:  2016-06-22       Impact factor: 2.714

5.  Computational Mechanisms for Perceptual Stability using Disparity and Motion Parallax.

Authors:  Oliver W Layton; Brett R Fajen
Journal:  J Neurosci       Date:  2019-11-07       Impact factor: 6.167

6.  A neural mechanism for detecting object motion during self-motion.

Authors:  HyungGoo R Kim; Dora E Angelaki; Gregory C DeAngelis
Journal:  Elife       Date:  2022-06-01       Impact factor: 8.713

7.  Combining biological motion perception with optic flow analysis for self-motion in crowds.

Authors:  Anna-Gesina Hülemeier; Markus Lappe
Journal:  J Vis       Date:  2020-09-02       Impact factor: 2.240

8.  Modeling Physiological Sources of Heading Bias from Optic Flow.

Authors:  Sinan Yumurtaci; Oliver W Layton
Journal:  eNeuro       Date:  2021-11-17

9.  Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow.

Authors:  Oliver W Layton; Brett R Fajen
Journal:  PLoS Comput Biol       Date:  2016-06-24       Impact factor: 4.475

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.