Models of motion detection

  title={Models of motion detection},
  author={Alexander Borst},
  journal={Nature Neuroscience},
  volume={3 Suppl 1},
  • A. Borst
  • Published 1 November 2000
  • Computer Science, Medicine
  • Nature Neuroscience
history Visual motion detection is one of the most active areas in systems neuroscience today 1,2 , and the cellular mechanisms of directional selectivity may soon be understood in unprecedented biophysical detail. Alongside undeniable technical advances such as whole-cell patch-clamp recording and the retinal slice preparation, a major determinant of this recent progress is the conceptual foundation laid almost half a century ago. Curiously, the story began with two young soldiers during World… 
Motion in the real world
Motion Vision: Computational, Neural and Ecological ConstraintsEdited by J.M. Zanker and J. Zeil, Springer-Verlag, Berlin, 2001. DM 169.00 (397 pages)ISBN 3 540 65166 7How is information about the
Spike timing precision in the visual front-end
This thesis describes a series of investigations into the reliability of neural responses in the primary visual pathway, and finds a close agreement between the results obtained in the two experiments and shows that spike timing precision allows for correlation detection at very short time scales.
Disentangling of Local and Wide-Field Motion Adaptation
A novel stimulus paradigm based on two types of motion stimuli that had the same overall strength but differed in that one led to local motion adaptation while the other did not, to result from the joint activity of local motion-sensitive neurons of different preferred directions.
Gordon Lynn Walls, a comparative anatomist, observed, " If asked what aspect of vision means the most to them, a watchmaker may answer 'acuity,' a night flier 'sensitivity,' and an artist 'color.'
Motion vision : computational, neural, and ecological constraints
Processing Motion in the Real World.- I: Early Motion Vision.- Direction-Selective Ganglion Cells in the Retina.- Identification of Mechanisms Underlying Motion Detection in Mammals.- Pathways in
Motion as a source of environmental information: a fresh view on biological motion computation by insect brains
It is concluded from analyses challenging insect movement detectors with image flow as generated during translatory locomotion through cluttered natural environments that this mechanism represents the contours of nearby objects.
Eigenanalysis of a neural network for optic flow processing
Flies gain information about self-motion during free flight by processing images of the environment moving across their retina. The visual course control center in the brain of the blowfly contains,
Stimulus-dependent engagement of neural mechanisms for reliable motion detection in the mouse retina.
This review begins with a set of central mechanisms that are engaged under a wide range of visual conditions and then focuses on additional layers of mechanism that are dynamically recruited under different visual stimulus conditions, allude to an emerging theme: robust motion detection in the natural environment requires flexible neural mechanisms.
The rebound response plays a role in the motion mechanisms and perception
A computational model supported by simulations is developed, which for the first time leads to correct predictions of the behavioral motions, while considering separated On and Off pathways and is also in agreement with the relevant electrophysiological findings.


Principles of visual motion detection
Spatiotemporal energy models for the perception of motion.
  • E. Adelson, J. Bergen
  • Computer Science, Medicine
    Journal of the Optical Society of America. A, Optics and image science
  • 1985
A class of models for human motion mechanisms in which the first stage consists of linear filters that are oriented in space-time and tuned in spatial frequency that permit a qualitative understanding of a variety of motion phenomena.
The mechanism of directionally selective units in rabbit's retina.
Experiments are described which show, first, that directional selectivity is not due to optical aberrations of some kind and, secondly, that it is not a simple matter of the latency of response varying systematically across the receptive field.
Elaborated Reichardt detectors.
It is proved that with a careful choice of either temporal or spatial filters, the subunits can themselves become quite similar or equivalent to the whole ERD; with suitably chosen filters,the ERD is equivalent to an elaborated version of a motion detector proposed by Watson and Ahumada.
Nonlinear interactions in a dendritic tree: localization, timing, and role in information processing.
  • C. Koch, T. Poggio, V. Torre
  • Medicine
    Proceedings of the National Academy of Sciences of the United States of America
  • 1983
Analog AND-NOT operations realized by satisfying critical conditions in the case of a delta-like ganglion cell of the cat retina may underlie direction selectivity in ganglions.
A New Look at How Neurons Compute
By studying how retinal neurons calculate the direction of movement, researchers have hoped to learn general lessons about how brain neurons compute. But the studies were handicapped because no one
Systemtheoretische Analyse der Zeit-, Reihenfolgen- und Vorzeichenauswertung bei der Bewegungsperzeption des Rüsselkäfers Chlorophanus
Der Rüsselkäfer Chlorophanus viridis reagiert wie viele andere Organismen auf Bewegungen in seiner optischen Umwelt mit charakteristischen Verhaltensweisen. Dem liegt eine Auswertung von Relationen
Dendritic computation of direction selectivity by retinal ganglion cells.
The synaptic activity of DSGCs was recorded using strategies to observe the asymmetric inhibitory inputs that underlie the generation of direction selectivity and the critical nonlinear interactions between the excitatory and inhibitoryinputs took place postsynaptically within the dendrites of the DS GCs.
Trends Neurosci
  • Trends Neurosci
  • 1989
J. Opt. Soc. Am. A
  • J. Opt. Soc. Am. A
  • 1985