Optic Flow and Vestibular Self-Movement Cues: Multi-Sensory Interactions in Cortical Area MST

How To Use Non-Visual Information for Optic Flow Processing in Monkey Visual Cortical Area MSTd

ICANN ’94 ◽

10.1007/978-1-4471-2097-1_10 ◽

1994 ◽

pp. 46-49 ◽

Cited By ~ 3

Author(s):

M. Lappe ◽

F. Bremmer ◽

K.-P. Hoffmann

Keyword(s):

Optic Flow ◽

Visual Information ◽

Cortical Area ◽

Visual Cortical Area ◽

Visual Cortical

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A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals

Neural Computation ◽

10.1162/neco.1993.5.3.374 ◽

1993 ◽

Vol 5 (3) ◽

pp. 374-391 ◽

Cited By ~ 100

Author(s):

Markus Lappe ◽

Josef P. Rauschecker

Keyword(s):

Neural Network ◽

Motion Perception ◽

Network Model ◽

Neural Network Model ◽

Optic Flow ◽

Cortical Area ◽

Visual Motion ◽

Flow Fields ◽

Subspace Algorithm ◽

Motion Flow

Interest in the processing of optic flow has increased recently in both the neurophysiological and the psychophysical communities. We have designed a neural network model of the visual motion pathway in higher mammals that detects the direction of heading from optic flow. The model is a neural implementation of the subspace algorithm introduced by Heeger and Jepson (1990). We have tested the network in simulations that are closely related to psychophysical and neurophysiological experiments and show that our results are consistent with recent data from both fields. The network reproduces some key properties of human ego-motion perception. At the same time, it produces neurons that are selective for different components of ego-motion flow fields, such as expansions and rotations. These properties are reminiscent of a subclass of neurons in cortical area MSTd, the triple-component neurons. We propose that the output of such neurons could be used to generate a computational map of heading directions in or beyond MST.

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Sensitivity to optic flow components in human cortical area V6 and other cortical motion areas

NeuroImage ◽

10.1016/s1053-8119(09)70645-7 ◽

2009 ◽

Vol 47 ◽

pp. S86 ◽

Cited By ~ 3

Author(s):

S Sdoia ◽

S Pitzalis ◽

A Bultrini ◽

F Di Russo ◽

P Fattori ◽

...

Keyword(s):

Optic Flow ◽

Cortical Area ◽

Flow Components

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Heading Representation in MST: Sensory Interactions and Population Encoding

Journal of Neurophysiology ◽

10.1152/jn.00493.2002 ◽

2003 ◽

Vol 89 (4) ◽

pp. 1994-2013 ◽

Cited By ~ 85

Author(s):

William K. Page ◽

Charles J. Duffy

Keyword(s):

Optic Flow ◽

Single Neuron ◽

Temporal Cortex ◽

Target Movement ◽

Population Vector ◽

Population Response ◽

Medial Superior Temporal ◽

Translational Movement ◽

Sensory Interactions ◽

Heading Estimation

Dorsal medial superior temporal cortex (MSTd)'s population response encodes heading direction from optic flow seen during fixation or pursuit. Vestibular responses in these neurons might enhance heading representation during self-movement in light or provide an alternative basis for heading representation during self-movement in darkness. We have compared these hypotheses by recording MSTd neuronal responses to translational self-movement in light and darkness, during fixation and pursuit. Translational movement in darkness, with gaze fixed, evokes transient vestibular responses during acceleration that reverse directionality during deceleration and persist without a fixation target. Movement in light increases the amplitude and duration of these responses so they mimic responses to simulated optic flow presented without translational movement. Pursuit of a stationary landmark during translational movement combines vestibular and visual effects with pursuit responses. Vestibular, visual, and pursuit effects interact so that single neuron heading responses vary across the stimulus period and between stimulus conditions. Combining single neuron responses by population vector summation yields stronger heading estimates in light than in darkness, with gaze fixed or during landmark pursuit. Adding translational movement to robust optic flow stimuli does not augment the population response. Vestibular signals enhance single neuron responses in light and maintain population heading estimation in darkness, potentially extending MSTd's heading representation across the continuum of naturalistic self-movement conditions.

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