Yes / The issue of whether visually-mediated, simple reaction time (VRT) is faster in elite athletes is contentious. Here, we examined if and how VRT is afected by gaze stability in groups of international cricketers (16 females, 28 males), professional rugby-league players (21 males), and non-sporting controls (20 females, 30 males). VRT was recorded via a button-press response to the sudden appearance of a stimulus (circular target—diameter 0.8°), that was presented centrally, or 7.5° to the left or right of fxation. The incidence and timing of saccades and blinks occurring from 450 ms before stimulus onset to 225 ms after onset were measured to quantify gaze stability. Our results show that (1) cricketers have faster VRT than controls; (2) blinks and, in particular, saccades are associated with slower VRT regardless of the level of sporting ability; (3) elite female cricketers had steadier gaze (fewer saccades and blinks) compared to female controls; (4) when we accounted for the presence of blinks and saccades, our group comparisons of VRT were virtually unchanged. The stability of gaze is not a factor that explains the difference between elite and control groups in VRT. Thus we conclude that better gaze stability cannot explain faster VRT in elite sports players. / Biotechnology and Biological Science Research Council (BBSRC, grant references: BB/J018163/1, BB/J016365/1 and BB/J018872/1)

yes / Binocularity in the human visual system poses two interesting and extremely challenging questions. The first, and perhaps most obvious stems from the singularity of perception even though the neural images we see originate as two separate images in the right and left eyes. Mechanistically we can ask how and where do we convert two images into one? The second question is more of a “why” question. By converting lateral eyes with their inherent panoramic visual field into frontal eyes with overlapping binocular visual fields, primates have developed an extremely large blind region (the half of the world behind us). We generally accept that this sacrifice in visual field size was driven by the potential benefit of extracting information about the 3rd dimension from overlapping right and left eye visual fields. For some people, both of these core processes of binocularity fail: a single fused binocular image is not achieved (when diplopia or suppression is present), and the ability to accurately represent the 3rd dimension is lost (stereo-blindness). In addition to these failures in the core functions of the human binocular system, early imbalances in the quality of right and left eye neural images (e.g. due to anisometropia, monocular deprivation, and/or strabismus), can precipitate profound neurological changes at a cortical level which can lead to serious vision loss in one eye (amblyopia). Caring for patients with malfunctioning binocular visual systems is a core therapeutic responsibility of the eye care professions (optometry, ophthalmology and orthoptics) and significant advances in patient care and subsequent visual outcomes will be gained from a deeper understanding of how the human brain accomplishes full binocular integration. This feature issue on binocular vision brings together original articles and reviews from leading groups of neuroscientists, psychophysicists and clinical scientists from around the world who embrace the multidisciplinary nature of this topic. Our authors have taken on the big issues facing the research community tasked with understanding how binocular vision is meant to work, how it fails, and how to better treat those with compromised binocularity. These studies address deep issues about how the human brain functions and how it fails, as well as how it can be altered by therapy.

<p> Kittens were raised with early visual input restricted to horizontal, vertical, or oblique (45°) lines to determine the oculomotor consequences of such early restriction, and the limits of early neural plasticity. {i) All animals developed pendular nystagmus (frequency 3-5 Hz) which appeared to be related to active visual search, and was lowest in amplitude for animals exposed to oblique lines. (ii) Many cats developed convergent squint which was most severe for those exposed to horizontal lines. (iii) Abnormal binocular functioning of visual cortical units was found in all restricted animals. (iv) The stimulus orientation of maximum response corresponded to the experienced orientation for most units encountered in the animals exposed to vertical or horizontal lines. (v) In animals exposed to oblique lines all stimulus orientations appeared to be represented in the cortex; units responding maximally to the experienced orientation were not most often encountered. The results were discussed in terms of possible anatomical constraints on visual plasticity and a preliminary model of visual development was explored. </p> / Thesis / Doctor of Philosophy (PhD)

The optic tectum of the leopard frog has long been known to process visual information about prey and looming threats, stimuli characterized by their movement in the visual field. However, atectal frogs can still respond to the stationary visual environment, which therefore constitutes a separate visual subsystem in the frog. The present work seeks to characterize the stationary visual environment module in the leopard frog, beginning with the hypothesis that this module is located in the anterior thalamus, among two retinorecipient neuropil regions known as neuropil of Bellonci (NB) and corpus geniculatum (CG). First, the puzzle of how a stationary frog can see the stationary environment, in the absence of the eye movements necessary for persistence of vision, is resolved, as we show that whole-head movements caused by the frog's respiratory cycles keep the retinal image in motion. Next, the stationary visual environment system is evaluated along behavioral, anatomic, and physiological lines, and connections to other brain areas are elucidated. When the anterior thalamic visual center is disconnected, frogs show behavioral impairments in visually navigating the stationary world. Under electrophysiological probing, neurons in the NB/CG region show response properties consistent with their proposed role in processing information about the stationary visual environment: they respond to light/dark and color information, as well as reverse-engineered "stationary" stimuli (reproducing the movement on the retina of the visual backdrop caused by the frog's breathing movements), and they do not habituate. We show that there is no visuotopic map in the anterior thalamus but rather a nasal-ward constriction in the receptive fields of progressively more caudal cell groups in the NB/CG region. Furthermore, each side of the anterior thalamic visual region receives information from only the contralateral half of the visual field, as defined by the visual midline, resulting from a pattern of partial crossing over of optic nerve fibers that is also seen in the mammalian thalamic visual system, a commonality with unknown evolutionary implications. We show that the anterior thalamic visual region shares reciprocal connections with the same area on the opposite side of the brain, as well as with the posterior thalamus on both sides; there is also an anterograde ipsilateral projection from the NB/CG toward the medulla and presumably pre-motor areas. / Biology

The success of any transform coding technique depends on how well the basis functions represent the signal features. The discrete wavelet transform (DWT) performs a multiresolution analysis of a signal; this enables an efficient representation of smooth and detailed signal regions. Furthermore, computationally efficient algorithms exist for computing the DWT. For these reasons, recent image compression standards such as JPEG2000 use the wavelet transform. It is well known that orthogonality and symmetry are desirable transform properties in image compression applications. It is also known that the scalar wavelet transform does not possess both properties simultaneously. Multiwavelets overcome this limitation; the multiwavelet transform allows orthogonality and symmetry to co-exist. However recently reported image compression results indicate that the scalar wavelets still outperform the multiwavelets in terms of peak signal-to-noise ratio (PSNR). In a multiwavelet transform, the balancing order of the multiwavelet is indicative of its energy compaction efficiency (usually a higher balancing order implies lower mean-squared-error, MSE, in the compressed image). But a high balancing order alone does not ensure good image compression performance. Filter bank characteristics such as shift-variance, magnitude response, symmetry and phase response are important factors that also influence the MSE and perceived image quality. This thesis analyzes the impact of these multiwavelet characteristics on image compression performance. Our analysis allows us to explain---for the first time---reasons for the small performance gap between the scalar wavelets and multiwavelets. We study the characteristics of five balanced multiwavelets (and 2 unbalanced multiwavelets) and compare their image compression performance for grayscale images with the popular (9,7)-tap and (22,14)-tap biorthogonal scalar wavelets. We use the well-known SPIHT quantizer in our compression scheme and utilize PSNR and subjective quality measures to assess performance. We also study the effect of incorporating a human visual system (HVS)-based transform model in our multiwavelet compression scheme. Our results indicate those multiwavelet properties that are most important to image compression. Moreover, the PSNR and subjective quality results depict similar performance for the best scalar wavelets and multiwavelets. Our analysis also shows that the HVS-based multiwavelet transform coder considerably improves perceived image quality at low bit rates. / Master of Science

For animals with advanced nervous systems, survival and reproduction can depend upon accurate perception of the environment. To understand how a perceptual system should solve a perception task, it is important to consider designs for an ideal observer, a theoretical system that solves a perception task in an optimal way given specific constraints. I studied three specific classification tasks related to the problem of identifying and segmenting leaves in foliage-rich images. In order to derive the ideal observers for these tasks, I created a database of hand-segmented leaves which served to define the ground-truth for these tasks. I also created a new method that uses the ground-truth as a basis for performing statistical inference (classification) in a nearly optimal way. This made it possible for me to approximate ideal observers by approximating an optimal classifier for each task. I also conducted psychophysical experiments to measure human performance in these tasks. The results provide information about how the human visual system should and does interpret foliage-rich images. / text

Neural responses in the primate ventral visual system become more complex in the later stages of the pathway. For example, not only do neurons in IT cortex respond to complete objects, they also learn to respond invariantly with respect to the viewing angle of an object and also with respect to the location of an object. These types of neural responses have helped guide past research with VisNet, a computational model of the primate ventral visual pathway that self-organises during learning. In particular, previous research has focussed on presenting to the model one object at a time during training, and has placed emphasis on the transform invariant response properties of the output neurons of the model that consequently develop. This doctoral thesis extends previous VisNet research and investigates the performance of the model with a range of more challenging and ecologically valid training paradigms. For example, when multiple objects are presented to the network during training, or when objects partially occlude one another during training. The different mechanisms that help output neurons to develop object selective, transform invariant responses during learning are proposed and explored. Such mechanisms include the statistical decoupling of objects through multiple object pairings, and the separation of object representations by independent motion. Consideration is also given to the heterogeneous response properties of neurons that develop during learning. For example, although IT neurons demonstrate a number of differing invariances, they also convey spatial information and view specific information about the objects presented on the retina. A updated, scaled-up version of the VisNet model, with a significantly larger retina, is introduced in order to explore these heterogeneous neural response properties.

Entender como o cérebro processa informação é um dos problemas mais fascinantes da ciência de nossos dias. Para resolvê-lo, é fundamental estudarmos os mecanismos de representação e transmissão de informação de um único neurônio, a unidade fundamental de processamento do cérebro. Grande parte dos neurônios representa a informação por seqüências de pulsos elétricos, ou potenciais de ação. Nós usamos a mosca como modelo para estudar como a arborização dendrítica do neurônio influencia a quantidade de informação transmitida pela estrutura temporal da seqüência de pulsos. O mapeamento retinotópico da informação no sistema visual da mosca permite que as arborizações dendríticas de certos neurônios sejam estimuladas localmente através da região que corresponde a essa localização no campo visual. Nós apresentamos imagens em movimento em várias regiões do campo visual da mosca e medimos a resposta do neurônio H1, sensível a movimentos horizontais. Usando a teoria da informação, calculamos a quantidade de informação transmitida para cada uma dessas regiões do campo visual e a relacionamos com outras propriedades do neurônio, como por exemplo a sensibilidade espacial e eficiência. Nossos resultados sugerem que a arborização dendrítica influencia a codificação temporal de maneira significativa, indicando que o neurônio pode usar a estrutura temporal da sequência de pulsos para codificar outros parâmetros do estímulo, ou para aumentar a confiabilidade da codificação dependendo da região excitada / Understanding how the brain processes information about the outside world is one of the most fascinating problems of modern science. This involves the analysis of information representation and transmission in the fundamental processing element of the brain - the neuron. In the cortex neurons represent information by sequences of electrical pulses, or spikes. We use the fly as a model to study how the amount of information transmitted by the temporal structure of the spike trains depends on the neuron\'s dendritic arborization. The retinotopic mapping of information in the fly\'s visual system allows the stimulation of specific regions of the neuron\'s dendritic tree through the visual stimulation of the respective region in the visual field of the fly. We show an image moving in the preferred direction of the motion-sensitive neuron H1 in specific regions of the fly\'s visual field and measure the electrical response of the neuron. Using information theory, we calculate the amount of information transmitted for each of these regions and compare it with other properties of the neuron, for example, the spatial sensitivity. Our results suggest that the dendritic arborization influentes the temporal coding in a significant way, indicating that the neuron could use the temporal structure of the spike train to codify other parameters of the stimulus, or to increase the reliability of the code depending on the excited region

Corujas se destacam por suas habilidades visuais e auditivas. Pouco é conhecido sobre a neuroanatomia do seu telencéfalo. Assim, caracterizamos através de técnicas histo/imunoistoquímicas o telencéfalo da coruja-da-igreja. Os núcleos da base foram delineados através da sua intensa imunomarcação para DARPP-32 e tirosina hidroxilase. Áreas sensoriais primárias tálamorrecipientes, como o entopálio (E), L2 do Field L auditório e o núcleo basorostral palial, foram caracterizadas pela quase ausência de DARPP-32 e alta atividade da citocromo oxidase (CO). As pseudo-camadas do Wulst visual foram delineadas com uma combinação de métodos, incluindo a ativação da CO, e imunomarcação para DARPP-32. O Wulst visual e o Field L se destacaram como regiões enormes, enquanto o E se revelou menor. Os dados sugerem que a morfologia de muitas regiões telencefálicas da coruja-da-igreja é semelhante àquela em outras aves. Contudo, o Wulst e o Field L se destacaram por seu tamanho e grau de organização, refletindo a importância do sistema visual e auditivo no comportamento de corujas. / Owls possess exceptional visual and auditory capacities. There is only limited information about the neuroanatomy of their forebrain. Thus, we characterized by histo/immunohistochemical techniques the forebrain of the barn owl. The basal ganglia were delineated by their intense immunostaining for DARPP-32 and tyrosine hydroxylase. Primary thalamorecipient sensory areas, such as the entopallium (E), L2 of the auditory Field L and the basorostral palial nucleus were characterized by the almost absence of DARPP-32 and their high citocrome oxidase (CO) activity. The pseudo layers of the visual Wulst were delineated by a combination of methods, including CO activity and immunostaining for DARPP-32.The Wulst and Field L were outlined by their huge size, whereas the E was small. These data suggest that the morphology of many telencephalic regions of the barn owl is similar to that in other birds. However, the Wulst and Field L were highlighted by their size and degree of organization, reflecting the importance of the visual and auditory system for the behavior of owls.

Os animais utilizam, entre outras coisas, a informação visual que chega na forma de padrões do fluxo óptico para se locomover, desviar de obstáculos, localizar um predador ou uma presa. Esta informação permite ao animal estimar seu próprio movimento e o movimento de outros objetos no campo visual. Nós usamos a mosca como modelo para estudar como um de seus neurônios, o H1 ? que é sensível a movimentos horizontais ?, codifica e diferencia o movimento da mosca ou seja, como ele diferencia os movimentos de rotação e translação. Assim como a grande parte dos neurônios, o H1 representa a informação por seqüências de pulsos elétricos, ou potenciais de ação. Queremos estudar principalmente a interação deste neurônio com o H1 contralateral e com as células CH e HS. Para isso pintamos o olho direito da mosca e acrescentamos um anteparo entre os monitores para isolarmos o H1 esquerdo e comparamos a resposta obtida desta forma com a obtida quando os dois H1 recebiam o fluxo óptico. Apresentamos imagens em movimento em dois monitores na região mais sensível do campo visual da mosca, sincronizadas de forma a simular movimentos de rotação e translação medindo sempre a resposta do neurônio H1 esquerdo. Acrescentamos também várias defasagens entre os estímulos apresentados e repetimos os experimentos para estímulos com tempos de correlação diferentes. Usando a teoria da informação, calculamos a quantidade de informação transmitida para cada um destes casos e analisamos como cada uma destas situações influencia não só a quantidade de informação transmitida pelo trem de pulsos mas a própria estrutura deste trem de pulsos. Nossos resultados sugerem que a interação entre os dois H1 diminui a quantidade de informação transmitida pela estrutura temporal da seqüência dos pulsos e que apesar de a defasagem não alterar a quantidade de informação total do trem de pulsos, ela altera a quantidade de informação transmitida pela estrutura de determinados eventos. / Animals use, among others things, the visual information arriving in the form of optic flow patterns to move itself, to deviate from obstacles, to locate a predator or a prey. This information allows the animal to estimate its own movement and the movement of other objects in the visual field. We use the fly as model to study how one of its neurons, the H1 - that is sensitive to horizontal movements -, codifies and differentiates the movement of the fly, i.e., how it distinguishes the movements of rotation and translation. The H1 represents the information as sequences of electric pulses, or action potentials. We want to study the interaction of this neuron with the contralateral H1 and with CH and HS cells. To do that we paint the right eye of the fly and add a screen between the monitors to isolate the left H1 and we compare the response obtained with the response, when both H1 received the optic flow. We show images moving in the most sensitive region of the fly\'s visual field synchronized so as to simulate rotational and translational movements and measure the left H1 response. We also add delays between the stimuli presented to each eye and repeat the experiments for stimuli with different correlation times. Using information theory, we calculate the amount of information transmitted for each one of these situations and analyze how they influence the amount of information transmitted by the spike train, as well as the structure of this spike train. Our results suggest that the interaction between both H1 reduces the amount of information transmitted by the time structure of the sequence of spikes and that, although the delay does not modify the amount of total information of the spike train, it modifies the amount of information transmitted by the structure of particular events.