Cortical responses to object-motion and visually-induced self-motion perception

Wiest, Gerald; Amorim, Michel-Ange; Mayer, Dagmar; Schick, S.; Deecke, L.; Lang, Wenhui

doi:10.1016/s0006-8993(01)02457-x

Cited by 22 publications

(11 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, neurons in the pigeon's accessory optic system are sensitive to elements of self-motion. A similar functional segregation of motion processing has been also found between areas MT and MST in monkeys (Duffy, 1998;Tanaka et al, 1986;Tanaka & Saito, 1989) and the temporooccipital and temporoparietal cortex in humans (Wiest et al, 2001). At the behavioral level, the stimulus conditions which tend to produce the illusion of self-motion (i.e., movement of elements in peripheral vision that are perceived to be the background of the visual scene) are quite different from conditions which typically generate perceived object-motion (i.e., movement of elements in central vision that are perceived to be the foreground of the visual scene) (Brandt, Koenig, & Dichgans, 1973;Brandt, Wist, & Dichgans, 1975).…”

Section: Crosstalk Between the Processing Of Object-motion And The Prsupporting

confidence: 73%

Long range interactions between object-motion and self-motion in the perception of movement in depth

2004

View full text Add to dashboard Cite

Self-motion through a three-dimensional array of objects creates a radial flow pattern on the retina. We superimposed a simulated object moving in depth on such a flow pattern to investigate the effect of the flow pattern on judgments of both the time to collision (TTC) with an approaching object and the trajectory of that object. Our procedure allowed us to decouple the direction and speed of simulated self motion-in-depth (MID) from the direction and speed of simulated object MID. In Experiment 1 we found that objects with the same closing speed were perceived to have a higher closing speed when self-motion and object-motion were in the same direction and a lower closing speed when they were in the opposite direction. This effect saturated rapidly as the ratio between the speeds of self-motion and object-motion was increased. In Experiment 2 we found that the perceived direction of object-MID was shifted towards the focus of expansion of the flow pattern. In Experiments 3 and 4 we found that the erroneous biases in perceived speed and direction produced by simulated self-motion were significantly reduced when binocular information about MID was added. These findings suggest that the large body of research that has studied motion perception using stationary observers has limited applicability to situations in which both the observer and the object are moving.

show abstract

Section: Crosstalk Between the Processing Of Object-motion And The Prsupporting

confidence: 73%

Long range interactions between object-motion and self-motion in the perception of movement in depth

2004

View full text Add to dashboard Cite

show abstract

“…Human neuroimaging investigations of visual self-motion have largely focused on neural responses to optic-flow ( de Jong et al, 1994 ; Brandt et al, 1998 ; Previc et al, 2000 ; Rutschmann et al, 2000 ; Peuskens et al, 2001 ; Wiest et al, 2001 ; Kleinschmidt et al, 2002 ; Deutschländer et al, 2004 ; Kovács et al, 2008 ; Wall and Smith, 2008 ; Cardin and Smith, 2010 , 2011 ; Pitzalis et al, 2010 , 2013 ; Becker-Bense et al, 2012 ; Cardin et al, 2012 ; Arnoldussen et al, 2013 ). These studies have described optic-flow sensitivity in multiple cortical regions, including the human medial superior temporal area (hMST) in the visual motion complex hMT+ ( Peuskens et al, 2001 ; Smith et al, 2006 ), the cortical vestibular area in the parieto-insular vestibular cortex (PIVC; Cardin and Smith, 2010 ), and the ventral intraparietal area (VIP; Peuskens et al, 2001 ; Wall and Smith, 2008 ; Cardin and Smith, 2010 ), which correspond to results from several monkey studies (e.g., MST: Saito et al, 1986 ; Tanaka et al, 1986 , 1989 ; Tanaka and Saito, 1989 ; Duffy and Wurtz, 1991a , b , 1995 ; Graziano et al, 1994 ; Lagae et al, 1994 ; Page and Duffy, 2003 ; PIVC: Akbarian et al, 1988 ; VIP: Schaafsma and Duysens, 1996 ; Schaafsma et al, 1997 ; Bremmer et al, 2002 ).…”

Section: Introductionmentioning

confidence: 99%

Differential Responses to a Visual Self-Motion Signal in Human Medial Cortical Regions Revealed by Wide-View Stimulation

2016

View full text Add to dashboard Cite

Vision is important for estimating self-motion, which is thought to involve optic-flow processing. Here, we investigated the fMRI response profiles in visual area V6, the precuneus motion area (PcM), and the cingulate sulcus visual area (CSv)—three medial brain regions recently shown to be sensitive to optic-flow. We used wide-view stereoscopic stimulation to induce robust self-motion processing. Stimuli included static, randomly moving, and coherently moving dots (simulating forward self-motion). We varied the stimulus size and the presence of stereoscopic information. A combination of univariate and multi-voxel pattern analyses (MVPA) revealed that fMRI responses in the three regions differed from each other. The univariate analysis identified optic-flow selectivity and an effect of stimulus size in V6, PcM, and CSv, among which only CSv showed a significantly lower response to random motion stimuli compared with static conditions. Furthermore, MVPA revealed an optic-flow specific multi-voxel pattern in the PcM and CSv, where the discrimination of coherent motion from both random motion and static conditions showed above-chance prediction accuracy, but that of random motion from static conditions did not. Additionally, while area V6 successfully classified different stimulus sizes regardless of motion pattern, this classification was only partial in PcM and was absent in CSv. This may reflect the known retinotopic representation in V6 and the absence of such clear visuospatial representation in CSv. We also found significant correlations between the strength of subjective self-motion and univariate activation in all examined regions except for primary visual cortex (V1). This neuro-perceptual correlation was significantly higher for V6, PcM, and CSv when compared with V1, and higher for CSv when compared with the visual motion area hMT+. Our convergent results suggest the significant involvement of CSv in self-motion processing, which may give rise to its percept.

show abstract

“…Our TRFP encodes predicted features of an external object relevant for the robot's interaction with the world, for example the position of an object of interest. The perception of self-motion as well as the perception of object motion can each be mapped to specific cortical regions [26], [27]. The SMP and the TRFP both utilize our version of the multiple timescale recurrent neural network (MTRNN) for the learning and prediction of spatiotemporal patterns.…”

Section: Our Approachmentioning

confidence: 99%

Progressive learning of sensory-motor maps through spatiotemporal predictors

Wieser

Cheng

2016

2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)

View full text Add to dashboard Cite

Abstract-Developmental robotics suggests that the forward and inverse kinematics should be learned through a sensorymotor mapping, instead of being programmed in advance. Motor babbling and goal babbling are two common approaches to generate training samples used to acquire a sensory-motor mapping. Motor babbling typically needs a considerable amount of training data and time to acquire a sufficient mapping, while goal babbling poses difficulties on how to select appropriate goals. In this paper, we propose a neurobiologically-inspired system to progressively learn a sensory-motor mapping bootstrapped from a simple constrained DOF exploration, which generates much less training data than motor babbling. Our proposed system is designed according to two neurobiologicallyinspired paradigms: spatiotemporal prediction and uniformity. The spatiotemporal prediction capability facilitates the acquisition of sensory-motor mappings with less amount of training data on the one hand, and facilitates robust behaviour on the other hand. The uniform system design structure is the foundation for building a scalable architecture for cognitive development. We use an improved version of our predictive action selector (PAS) as building block of our system. We validate a PAS on a 2 DOF robot head where the robot learns object tracking and evading. Then we validate a second PAS on a 5 DOF arm where it learns reaching.

show abstract

Cortical responses to object-motion and visually-induced self-motion perception

Cited by 22 publications

References 17 publications

Long range interactions between object-motion and self-motion in the perception of movement in depth

Long range interactions between object-motion and self-motion in the perception of movement in depth

Differential Responses to a Visual Self-Motion Signal in Human Medial Cortical Regions Revealed by Wide-View Stimulation

Progressive learning of sensory-motor maps through spatiotemporal predictors

Contact Info

Product

Resources

About