Receptive field properties of single units in the opossum striate cortex

Rocha‐Miranda, Carlos Eduardo; Linden, Rafael; Volchan, Eliane; Lent, Roberto; Bombardieri, Rocco A.

doi:10.1016/0006-8993(76)90614-4

Cited by 31 publications

(12 citation statements)

References 31 publications

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“…Orientation selectivity has been observed in the visual cortex of every mammal that has been examined, including carnivores (Hubel and Wiesel, 1962), primates (Hubel and Wiesel, 1968), rodents, including murid (Girman et al, 1999; Niell and Stryker, 2008), and sciurid rodents (Heimel et al, 2005; Van Hooser et al, 2005), and marsupials (Rocha-Miranda et al, 1976; Ibbotson and Mark, 2003). …”

Section: Resultsmentioning

confidence: 99%

Robust quantification of orientation selectivity and direction selectivity

Mazurek

Kager

Hooser

2014

Front. Neural Circuits

177

189

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Neurons in the visual cortex of all examined mammals exhibit orientation or direction tuning. New imaging techniques are allowing the circuit mechanisms underlying orientation and direction selectivity to be studied with clarity that was not possible a decade ago. However, these new techniques bring new challenges: robust quantitative measurements are needed to evaluate the findings from these studies, which can involve thousands of cells of varying response strength. Here we show that traditional measures of selectivity such as the orientation index (OI) and direction index (DI) are poorly suited for quantitative evaluation of orientation and direction tuning. We explore several alternative methods for quantifying tuning and for addressing a variety of questions that arise in studies on orientation- and direction-tuned cells and cell populations. We provide recommendations for which methods are best suited to which applications and we offer tips for avoiding potential pitfalls in applying these methods. Our goal is to supply a solid quantitative foundation for studies involving orientation and direction tuning.

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Section: Resultsmentioning

confidence: 99%

Robust quantification of orientation selectivity and direction selectivity

Mazurek

Kager

Hooser

2014

Front. Neural Circuits

177

189

View full text Add to dashboard Cite

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“…In this respect the brushtailed possum resembles the Ameri can opossum [Rocha-Miranda et al, 1976] the rabbit [Murphy and Berman, 1979] and rodents (see Murphy and Berman [1979] for a summary of percentages of non oriented and oriented cells in rodents). In the tree shrew about 75% of cells in striate cortex are orientation selective [Humphrey and Norton, 1980] and in the sheep and the cat about 95% are orientation selective [Katoet al, 1978;Clarke el al., 1979;Mur phy and Berman, 1979], In the monkey not ail investigators have used similar classifi cation criteria so it is difficult to compare different studies [cf.…”

Section: Receptive Field Typesmentioning

confidence: 99%

Primary Visual Cortex in the Brushtailed Possum: Receptive Field Properties and Corticocortical Connections

Crewther

Sanderson

1984

Brain Behav Evol

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The corticocortical connections and receptive field properties of primary or striate visual cortex of the brushtailed possum, Trichosurus vulpecula, have been examined. In this Australian marsupial species primary visual cortex has connections with four other visual areas in the occipital lobe. In these adjacent visual areas fibers from striate cortex terminate mainly in layers 3 and 4 and in some cases also in layers 1 and 2. In all four areas return connections to striate cortex originate predominantly in layers 2 and 3, and to a much lesser extent in layers 5 and 6. Interhemispheric connections of striate cortex are limited to the boundary of striate and peristriate cortex. In addition to its cortical connections, striate cortex makes reciprocal connections with the claustrum. Most neurons in striate cortex are highly binocular. Of our sample of 113 visually responsive neurons, only 30% were orientation selective. On the basis of these observations we have compared striate cortex of the marsupial brushtailed possum with striate cortices of the American marsupial opossum and those of placental mammals.

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“…The majority of what we know about cortical physiology is based on recordings from eutherians (primarily cats and monkeys). Using qualitative methods, cells with simple and complex-like properties have been reported in two nocturnal marsupials: an American opossum, Didelphis aurita (Rocha-Miranda et al 1976), and an Australian possum, Trichosaurus vulpecula (Crewther et al 1984). Simple and complex cells have also been identified qualitatively in a highly visual, day-and-night active marsupial, the Tammar wallaby, Macropus eugenii (Ibbotson and Mark 2003;Vidyasagar et al 1992).…”

Section: Introductionmentioning

confidence: 99%

On the Division of Cortical Cells Into Simple and Complex Types: A Comparative Viewpoint

Ibbotson¹,

Price

Crowder

2005

Journal of Neurophysiology

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Ibbotson, M. R., N.S.C. Price, and N. A. Crowder. On the division of cortical cells into simple and complex types: a comparative viewpoint. J Neurophysiol 93: 3699 -3702, 2005. First published January 19, 2005 doi:10.1152/jn.01159.2004. Hubel and Weisel introduced the concept of cells in cat primary visual cortex being partitioned into two categories: simple and complex. Subsequent authors have developed a quantitative measure to distinguish the two cell types based on the ratio between modulated responses at the stimulus frequency (F 1 ) and unmodulated (F 0 ) components of the spiking responses to drifting sinusoidal gratings. It has been shown that cells in anesthetized cat and monkey cortex have bimodal distributions of F 1 /F 0 ratios. A clear local minimum or dip exists in the distribution at a ratio close to unity. Here we present a comparison of the distributions of the F 1 /F 0 ratios between cells in the primary visual cortex of the eutherian cat and marsupial Tammar wallaby, Macropus eugenii. This is the first quantitative description of any marsupial cortex using the F 1 /F 0 ratio and follows earlier papers showing that cells in wallaby cortex are tightly oriented and spatial frequency tuned. The results reveal a bimodal distribution in the wallaby F 1 /F 0 ratios that is very similar to that found in the rat, cat, and monkey. Discussion focuses on the mechanisms that could lead to such similar cell distributions in animals with diverse behaviors and phylogenies. I N T R O D U C T I O NHubel and Weisel (1962) first categorized cells in the primary visual cortices of cats into two distinct cell types: simple and complex. The distinction was based on the spiking responses of cells during four visual tests. Simple cells 1) have spatially segregated ON and OFF regions within their receptive fields; 2) show summation within each subregion; 3) have antagonistic ON and OFF subregions; and 4) have responses that can be predicted based on the organization of their receptive field (RF) subregions. Cells that did not meet all or any of these criteria were classified as complex. Since the pioneering observations of Hubel and Weisel, a method was developed to quantify the simple and complex categories based on the spiking responses of the cells to moving sinusoidal gratings (De Valois et al. 1982; Movshon et al. 1978a,b; for review, Skottun et al. 1991). The method calculates the mean response of the cells above spontaneous rate during the period of motion (F 0 ) and the amplitude of oscillations at the fundamental temporal frequency of the stimulus (F 1 ). An F 1 /F 0 ratio is then calculated. Skottun et al. (1991) showed that, when the ratios were plotted for a large population of cells in cat and monkey V1, the neurons fell into a bimodal distribution with peaks at ratios of 1.7 and 0.2-0.3. There was a clear minimum or dip close to an F 1 /F 0 ratio of unity. Separating the neuron types based on those with F 1 /F 0 ratios Ͼ1 or Ͻ1 produced a distribution that correlated well with the classifications based ...

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Receptive field properties of single units in the opossum striate cortex

Cited by 31 publications

References 31 publications

Robust quantification of orientation selectivity and direction selectivity

Robust quantification of orientation selectivity and direction selectivity

Primary Visual Cortex in the Brushtailed Possum: Receptive Field Properties and Corticocortical Connections

On the Division of Cortical Cells Into Simple and Complex Types: A Comparative Viewpoint

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