On the relationship between orbit orientation and binocular visual field overlap in mammals

Heesy, Christopher P.

doi:10.1002/ar.a.20116

Cited by 131 publications

(144 citation statements)

References 56 publications

Supporting

Mentioning

136

Contrasting

Unclassified

Order By: Relevance

“…B: mouse monocular and binocular visual fields. Mouse binocular visual fields subtend ϳ40° (Heesy 2004). Each monocular visual field subtends ϳ180°.…”

Section: Neuronal Responses To Binocular Stimulation In Mouse V1mentioning

confidence: 99%

Binocular integration and disparity selectivity in mouse primary visual cortex

Scholl

Burge

Priebe

2013

Journal of Neurophysiology

100

View full text Add to dashboard Cite

Scholl B, Burge J, Priebe NJ. Binocular integration and disparity selectivity in mouse primary visual cortex. J Neurophysiol 109: 3013-3024, 2013. First published March 20, 2013 doi:10.1152/jn.01021.2012.-Signals from the two eyes are first integrated in primary visual cortex (V1). In many mammals, this binocular integration is an important first step in the development of stereopsis, the perception of depth from disparity. Neurons in the binocular zone of mouse V1 receive inputs from both eyes, but it is unclear how that binocular information is integrated and whether this integration has a function similar to that found in other mammals. Using extracellular recordings, we demonstrate that mouse V1 neurons are tuned for binocular disparities, or spatial differences, between the inputs from each eye, thus extracting signals potentially useful for estimating depth. The disparities encoded by mouse V1 are significantly larger than those encoded by cat and primate. Interestingly, these larger disparities correspond to distances that are likely to be ecologically relevant in natural viewing, given the stereo-geometry of the mouse visual system. Across mammalian species, it appears that binocular integration is a common cortical computation used to extract information relevant for estimating depth. As such, it is a prime example of how the integration of multiple sensory signals is used to generate accurate estimates of properties in our environment. primary visual cortex; mouse binocularity; disparity tuning; ocular dominance TO ENABLE ACCURATE ESTIMATES of behaviorally relevant properties of the environment, sensory systems integrate information from multiple sources. For example, in the visual system, signals from the left and right eyes are integrated to provide information about depth. In mammals, left and right eye signals first converge in primary visual cortex (V1). The different vantage points of the eyes create local spatial offsets in the retinal images, offsets known as binocular disparities. Binocular disparity changes with the depths of objects in the environment. Neurons that encode retinal image information relevant for estimating binocular disparity therefore provide information relevant for binocular depth perception (Barlow et al. 1967;Blakemore 1969;Hubel and Wiesel 1973;Joshua 1970;Nikara et al. 1968;Pettigrew et al. 1968). Binocular disparity selectivity can be observed in individual neurons; some binocular stimuli elicit large increases in responses, while others reduce responses, relative to monocular stimulation alone (Hubel and Wiesel 1962;Ohzawa and Freeman 1986;Pettigrew et al. 1968).Disparity-selective binocular neurons have been reported in many animals, including carnivores and primates. Such neurons have not, however, been reported in rodents. In recent years, mice have become an increasingly important model for the study of visual processing and cortical plasticity. Genetic techniques are now available to dissect underlying circuitry and its emergence during development. Here, we rep...

show abstract

“…B: mouse monocular and binocular visual fields. Mouse binocular visual fields subtend ϳ40° (Heesy 2004). Each monocular visual field subtends ϳ180°.…”

Section: Neuronal Responses To Binocular Stimulation In Mouse V1mentioning

confidence: 99%

Binocular integration and disparity selectivity in mouse primary visual cortex

Scholl

Burge

Priebe

2013

Journal of Neurophysiology

100

View full text Add to dashboard Cite

show abstract

“…b Binocular overlap and orbit convergence. The references for these values were mainly derived from the study by Heesy (2004), his Table 1. Human (Vakkur and Bishop, 1963); macaque (Vakkur and Bishop, 1963;Ross, 1995); owl monkey (Allman and McGuinness, 1988); marmoset (Cartmill, 1971;Fritsches and Rosa, 1996); cat (Hughes, 1976;Arrese et al, 1999;Finarelli and Goswami, 2009); ferret (Garipis and Hoffmann, 2003); tree shrew (Hughes, 1977); squirrel (Kaas et al, 1972;Van Hooser et al, 2005); rat (Arrese et al, 1999); mouse (Dräger, 1978;Arrese et al, 1999); rabbit (Wall, 1942;Hughes and Vaney, 1982); barn owl (Iwaniuk et al, 2008); pigeon (Iwaniuk et al, 2008).…”

Section: Lack Of Orientation Maps Despite Orientation Selectivitymentioning

confidence: 99%

Dominant Vertical Orientation Processing without Clustered Maps: Early Visual Brain Dynamics Imaged with Voltage-Sensitive Dye in the Pigeon Visual Wulst

Ng¹,

Grabska-Barwińska²,

Güntürkün³

et al. 2010

J. Neurosci.

View full text Add to dashboard Cite

The pigeon is a widely established behavioral model of visual cognition, but the processes along its most basic visual pathways remain mostly unexplored. Here, we report the neuronal population dynamics of the visual Wulst, an assumed homolog of the mammalian striate cortex, captured for the first time with voltage-sensitive dye imaging. Responses to drifting gratings were characterized by focal emergence of activity that spread extensively across the entire Wulst, followed by rapid adaptation that was most effective in the surround. Using additional electrophysiological recordings, we found cells that prefer a variety of orientations. However, analysis of the imaged spatiotemporal activation patterns revealed no clustered orientation map-like arrangements as typically found in the primary visual cortices of many mammalian species. Instead, the vertical orientation was overrepresented, both in terms of the imaged population signal, as well as the number of neurons preferring the vertical orientation. Such enhanced selectivity for the vertical orientation may result from horizontal motion vectors that trigger adaptation to the extensive flow field input during natural behavior. Our findings suggest that, although the avian visual Wulst is homologous to the primary visual cortex in terms of its gross anatomical connectivity and topology, its detailed operation and internal organization is still shaped according to specific input characteristics.

show abstract

“…An increase in orbital convergence 48 leads to a large degree of binocularity (i.e., overlap of the visual fields of each eye), allowing for 49 stereoscopic vision (Heesy, 2004). Stereopsis in turn enhances the ability to perceive depth, but 50 primarily at close range (~ 1 m: see Cartmill, 1974;Ross, 2000;Heesy, 2009), and effectively 51 allows individuals to distinguish camouflaged objects from their background (see Pettigrew,52 1986; Heesy, 2009).…”

mentioning

confidence: 99%