The fundamental mechanism of motion detection in the insect visual system

1973 ◽  
Vol 12 (2) ◽  
pp. 64-73 ◽  
Author(s):  
Gilbert D. McCann
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Insect Visual System ◽  
Fundamental Mechanism

Short range motion detection in the insect visual system

1988 ◽  
Vol 1 ◽  
pp. 519 ◽  
Author(s):  
H. Öğmen ◽  
S. Gagné
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Short Range ◽  
Insect Visual System

Analog vision chip for motion detection of an approaching object against a moving background based on the insect visual system

2007 ◽  
Vol 14 (3) ◽  
pp. 111-119 ◽  
Author(s):  
Kimihiro Nishio ◽  
Hiroo Yonezu ◽  
Yuzo Furukawa
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Vision Chip ◽  
Insect Visual System

Analog Integrated Circuit for Motion Detection of Approaching Object Based on the Insect Visual System

2004 ◽  
Vol 11 (1) ◽  
pp. 38-47 ◽  
Author(s):  
Kimihiro Nishio ◽  
Hiroo Yonezu ◽  
Masahiro Ohtani ◽  
Hitoshi Yamada ◽  
Yuzo Furukawa
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Integrated Circuit ◽  
Insect Visual System ◽  
Analog Integrated Circuit ◽  
Object Based

Analog Integrated Circuit for Motion Detection against Moving Background Based on the Insect Visual System

2004 ◽  
Vol 11 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Kimihiro Nishio ◽  
Hiroo Yonezu ◽  
Amal Bandula Kariyawasam ◽  
Yoichi Yoshikawa ◽  
Shinya Sawa ◽  
...  
Keyword(s):  
Visual System ◽  
Motion Detection ◽  
Integrated Circuit ◽  
Insect Visual System ◽  
Analog Integrated Circuit

Involvement of serotonin in the circadian rhythm of an insect visual system

1993 ◽  
Vol 80 (3) ◽  
pp. 137-139 ◽  
Author(s):  
K. Tomioka ◽  
M. Ikeda ◽  
T. Nagao ◽  
S. Tamotsu
Keyword(s):  
Circadian Rhythm ◽  
Visual System ◽  
Insect Visual System

The Insect Visual System: Correspondence with Vertebrates and with Olfactory Processing

2017 ◽  
pp. 293-306
Author(s):  
Nicholas J. Strausfeld
Keyword(s):  
Visual Cortex ◽  
Visual System ◽  
Nobel Prize ◽  
Insect Visual System ◽  
Dendritic Trees ◽  
Optic Lobes ◽  
Visual Systems ◽  
Valid Comparison ◽  
Olfactory Processing ◽  
Lateral Protocerebrum

A 1915 monograph by the Nobel Prize–winning neuroanatomist Santiago Ramón y Cajal and Domingo Sánchez y Sánchez, describing neurons and their organization in the optic lobes of insects, is now standard fare for those studying the microcircuitry of the insect visual system. The work contains prescient assumptions about possible functional arrangements, such as lateral interactions, centrifugal pathways, and the convergence of neurons onto wider dendritic trees, to provide central integration of information processed at peripheral levels of the system. This chapter will consider further indications of correspondence between the insect-crustacean and the vertebrate visual systems, with particular reference to the deep organization of the optic lobe’s third optic neuropil, the lobula, and part of the lateral forebrain (protocerebrum) that receives inputs from it. Together, the lobula and lateral protocerebrum suggest valid comparison with the visual cortex and olfactory centers.

Neurotransmitters and neuromodulators in the insect visual system

1991 ◽  
Vol 37 (3) ◽  
pp. 179-254 ◽  
Author(s):  
D NASSEL
Keyword(s):  
Visual System ◽  
Insect Visual System

scholarly journals Speed-Selectivity in Retinal Ganglion Cells is Modulated by the Complexity of the Visual Stimulus

2018 ◽  
Author(s):  
César R Ravello ◽  
Laurent U Perrinet ◽  
María-José Escobar ◽  
Adrián G Palacios
Keyword(s):  
Visual System ◽  
Retinal Ganglion Cells ◽  
Visual Stimulus ◽  
Motion Detection ◽  
Ganglion Cells ◽  
Large Body ◽  
Natural Images ◽  
Retinal Ganglion ◽  
Complex Stimuli ◽  
Different Populations

ABSTRACTMotion detection represents one of the critical tasks of the visual system and has motivated a large body of research. However, is remain unclear precisely why the response of retinal ganglion cells (RGCs) to simple artificial stimuli does not predict their response to complex naturalistic stimuli. To explore this topic, we use Motion Clouds (MC), which are synthetic textures that preserve properties of natural images and are merely parameterized, in particular by modulating the spatiotemporal spectrum complexity of the stimulus by adjusting the frequency bandwidths. By stimulating the retina of the diurnal rodent,Octodon deguswith MC we show that the RGCs respond to increasingly complex stimuli by narrowing their adjustment curves in response to movement. At the level of the population, complex stimuli produce a sparser code while preserving movement information; therefore, the stimuli are encoded more efficiently. Interestingly, these properties were observed throughout different populations of RGCs. Thus, our results reveal that the response at the level of RGCs is modulated by the naturalness of the stimulus - in particular for motion - which suggests that the tuning to the statistics of natural images already emerges at the level of the retina.

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