Ectopic Six3 expression in the dragon eye goldfish

For goldfish (Carassius auratus), there are many varieties with different eye phenotypes due to artificial selection and adaptive evolution. Dragon eye is a variant eye characterized by a large-size eyeball protruding out of the socket similar to the eye of dragon in Chinese legends. In this study, anatomical structure of the goldfish dragon eye was compared with that of the common eye, and a stretching of the retina was observed in the enlarged dragon eye. Moreover, the homeobox-containing transcription factor Six3 cDNAs were cloned from the two types of goldfish, and the expression patterns were analyzed in both normal eye and dragon eye goldfish. No amino acid sequence differences were observed between the two deduced peptides, and the expression pattern of Six3 protein in dragon eye is quite similar to common eye during embryogenesis, but from 2 days after hatching, ectopic Six3 expression began to occur in the dragon eye, especially in the outer nuclear layer cells. With eye development, more predominant Six3 distribution was detected in the outer nuclear layer cells of dragon eye than that of normal eye, and fewer cell-layers in outer nuclear layer were observed in dragon eye retina than in normal eye retina. The highlight of this study is that higher Six3 expression occurs in dragon eye goldfish than in normal eye goldfish during retinal development of larvae. (C) 2007 Elsevier Inc. All rights reserved.

1、吗啡成瘾及吗啡对其他学习记忆的影响 2、老年猕猴初级视觉皮层细胞时间及空间特性的改变

一、 药物滥用是一种慢性、复发性脑疾病。药物滥用将导致药物成瘾（addiction），其主要表现有药物依赖、药物耐受、药物敏感化以及药物停用后的戒断症状（withdraw symptom）。药物成瘾的核心特征是强迫性觅药和用药行为。药物成瘾会导致药物滥用者认知功能的损伤和认知偏差，并会造成滥用者情绪异常。药物成瘾是一个复杂的生物学过程，有着及其复杂的机理。对药物成瘾机制的解释有很多种，主要认为成瘾过程是一种学习记忆过程，学习记忆的机制在药物成瘾过程中起到了非常重要的作用。首先，学习记忆和药物成瘾过程都受到了相似的神经营养因子以及神经递质系统的调控，例如：它们都受cAMP，CREB等调控因子的调控。其次，研究发现与成瘾相关的线索，如用药有关的人物、地点或暗示等，在药物戒断很长时间后都会恢复吸毒者的用药行为。并且，当把与成瘾相关的线索呈现给毒品戒断中的人时，这些人会出现心率、呼吸加快，血压升高等现象，甚至表现出明显的渴求行为。药物对学习记忆的影响是复杂的，虽然重复使用药物会导致药物成瘾，并且这个过程需要学习记忆机制的参与，但同时使用吗啡却会对其他类型的学习记忆（如：恐惧性学习记忆、一次性被动回避学习记忆和水迷宫空间学习记忆）造成破坏。学习前给予吗啡可以剂量及状态依赖地破坏被动回避试验以及空间辨别试验的记忆获取过程。学习过程结束后立即给予吗啡可以破坏一次性被动回避试验、主动回避试验和恐惧条件化试验的记忆巩固过程。测试前给予吗啡可以破坏空间辨别试验的记忆提取过程。本研究的目的在于更进一步地了解使用吗啡导致吗啡成瘾以及使用吗啡导致学习记忆的各个阶段受损的机制。为此我们采用了药理学以及多种行为学的方法，1、用PTZ诱发的癫痫持续状态干扰吗啡成瘾的学习记忆过程，进一步比较了吗啡成瘾的学习记忆与其他学习记忆，例如：空间学习记忆以及食物奖赏学习记忆的机制有何异同；2、研究了β-肾上腺素系统与阿片系统在空间记忆巩固过程中的相互作用；3、我们还研究了NMDA受体的激动剂和拮抗剂在吗啡破坏空间记忆提取过程中的作用。研究结果发现： 1．戊四唑诱发的癫痫持续状态，对吗啡建立的条件化位置偏好没有任何影响，动物仍然对阳性箱（吗啡匹配箱）表现出明显的偏好。但是癫痫持续状态破坏了食物建立的条件化位置偏好，并且还破坏了水迷宫和Y迷宫检测的空间记忆。癫痫持续状态破坏了食物建立的条件化位置偏好，原因不是由于其影响了动物的食欲。此外，癫痫持续状态也没有持续地破坏动物的活动能力，因此，对动物活动量的影响也不是造成其他学习记忆破坏的原因。这些结果说明，吗啡成瘾的学习记忆和普通的学习记忆在机制上可能存在不同之处。为了说明这个问题，我们还需要进行其他更深入的研究。 2、训练后立即单独注射吗啡（0.25和2.5 mg/kg）或心得安（2，10和20 mg/kg）都不会破坏动物Y-迷宫空间记忆的巩固过程，动物仍然能识别新异环境，并在里面停留较长时间。但是，训练后同时注射吗啡和心得安却可以破坏动物空间记忆的巩固过程。并且，较高剂量的吗啡（2.5 mg/kg）加上较高剂量的心得安（10和20 mg/kg）对记忆的破坏更严重，实验组动物在新异环境停留的时间显著低于对照组。这说明阿片系统和去甲肾上腺素系统在破坏记忆巩固的过程中可能有协同作用。 3、记忆提取前30分钟注射吗啡（1和10 mg/kg）可以剂量依赖地破坏Y-迷宫空间记忆的提取。单独注射NMDA受体的激动剂NMDA（1，2和4 mg/kg）对动物的空间记忆提取没有影响，但是，单独注射NMDA受体拮抗剂MK-801（0.05，0.1和0.2 mg/kg）剂量依赖地破坏了空间记忆的提取。同时注射吗啡（10 mg/kg）和NMDA（2 mg/kg）可以阻断吗啡对空间记忆造成的破坏作用。相反，共同注射吗啡（1 mg/kg）和MK-801（0.05 mg/kg）可以加重吗啡对空间记忆造成的破坏作用。这说明谷氨酸系统可以干扰吗啡对记忆提取过程的影响。 二、衰老严重地影响了人们的视觉功能，然而眼睛光学系统的老年性改变并不能完全解释清楚这种视觉功能衰退。一般认为是神经系统的退化导致了这种老年性功能降低。但是，研究显示视网膜（retina）和外膝体（dorsal lateral geniculate nucleus, dLGN）在衰老的过程中神经元的数量和体积以及神经元的功能特性，如对比度敏感性、空间分辨率等，都没有明显的变化，因此，人们推测老化导致的神经系统的变化发生在更高级的视觉皮层。过去几年的研究发现老年动物视觉皮层细胞发生了一系列反应特性的改变，如：老年动物皮层细胞的方向选择性和方位选择性降低以及细胞反应的潜伏期延长。这些细胞水平的变化被认为是老年性视觉功能衰退的神经机制。为了更全面地了解衰老过程对视觉皮层的影响以及细胞反应改变与整体功能降低之间的关系，本研究采用活体动物细胞外单位记录的方法，比较了青年和老年猕猴初级视觉皮层细胞时间反应特性和空间反应特性的差异。研究结果发现：老年动物初级视觉皮层细胞的时间频率和空间频率敏感性明显比年轻动物降低。表现为老年动物初级视觉皮层细胞的最优时间和空间频率、空间分辨率（spatial resolution, SR）和较高时间截至频率（high temporal frequency cut-off, TF50）都显著低于年轻动物初级视觉皮层细胞，同时伴随着这些功能的降低，老年动物初级视觉皮层细胞的自发放增加，对视觉刺激的反应增加，但是信噪比却显著降低。这些结果表明，老年动物初级视觉皮层细胞的功能在老化过程中都普遍降低。这可能是导致老年人视觉功能降低的原因。

O único e o autêntico

Anthropology, affirming itself as an active science, changed not only what museums consider “museum material” but also the way museums conceive objects real value. In this text, I want to analyse the meaning behind the two concepts of unique and of authentic, as far as they are taken as museums concepts. Their importance changed in time. Therefor it is a matter of interest to trace that change in museum culture. A Antropologia, afirmando-se como uma ciência operante, alterou não só aquilo que os museus consideram “material museografável” como também o próprio valor que os museus atribuem aos objectos. Neste texto pretendo analisar os significados contidos por detrás dos conceitos de único e de autêntico, enquanto considerados conceitos utilizados pelos museus. A sua importância relativa alterou-se com o tempo: será, portanto, interessante descobrir essa alteração no universo da cultura dos museus.

A Neural Model of Surface Perception: Lightness, Anchoring, and Filling-in

This article develops a neural model of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models have clarified how the brain can compute the relative contrast of images from variably illuminate scenes. How the brain determines an absolute lightness scale that "anchors" percepts of surface lightness to us the full dynamic range of neurons remains an unsolved problem. Lightness anchoring properties include articulation, insulation, configuration, and are effects. The model quantatively simulates these and other lightness data such as discounting the illuminant, the double brilliant illusion, lightness constancy and contrast, Mondrian contrast constancy, and the Craik-O'Brien-Cornsweet illusion. The model also clarifies the functional significance for lightness perception of anatomical and neurophysiological data, including gain control at retinal photoreceptors, and spatioal contrast adaptation at the negative feedback circuit between the inner segment of photoreceptors and interacting horizontal cells. The model retina can hereby adjust its sensitivity to input intensities ranging from dim moonlight to dazzling sunlight. A later model cortical processing stages, boundary representations gate the filling-in of surface lightness via long-range horizontal connections. Variants of this filling-in mechanism run 100-1000 times faster than diffusion mechanisms of previous biological filling-in models, and shows how filling-in can occur at realistic speeds. A new anchoring mechanism called the Blurred-Highest-Luminance-As-White (BHLAW) rule helps simulate how surface lightness becomes sensitive to the spatial scale of objects in a scene. The model is also able to process natural images under variable lighting conditions.

A Neuromorphic Model for Achromatic and Chromatic Surface Representation of Natural Images

This study develops a neuromorphic model of human lightness perception that is inspired by how the mammalian visual system is designed for this function. It is known that biological visual representations can adapt to a billion-fold change in luminance. How such a system determines absolute lightness under varying illumination conditions to generate a consistent interpretation of surface lightness remains an unsolved problem. Such a process, called "anchoring" of lightness, has properties including articulation, insulation, configuration, and area effects. The model quantitatively simulates such psychophysical lightness data, as well as other data such as discounting the illuminant, the double brilliant illusion, and lightness constancy and contrast effects. The model retina embodies gain control at retinal photoreceptors, and spatial contrast adaptation at the negative feedback circuit between mechanisms that model the inner segment of photoreceptors and interacting horizontal cells. The model can thereby adjust its sensitivity to input intensities ranging from dim moonlight to dazzling sunlight. A new anchoring mechanism, called the Blurred-Highest-Luminance-As-White (BHLAW) rule, helps simulate how surface lightness becomes sensitive to the spatial scale of objects in a scene. The model is also able to process natural color images under variable lighting conditions, and is compared with the popular RETINEX model.

Fixational Instability and Natural Image Statistics: Implications for Early Visual Representations

Under natural viewing conditions small movements of the eye, head, and body prevent the maintenance of a steady direction of gaze. It is known that stimuli tend to fade when they a restabilized on the retina for several seconds. However; it is unclear whether the physiological motion of the retinal image serves a visual purpose during the brief periods of natural visual fixation. This study examines the impact of fixational instability on the statistics of the visua1 input to the retina and on the structure of neural activity in the early visual system. We show that fixational instability introduces a component in the retinal input signals that in the presence of natural images, lacks spatial correlations. This component strongly influences neural activity in a model of the LGN. It decorrelates cell responses even if the contrast sensitivity functions of simulated cells arc not perfectly tuned to counterbalance the power-law spectrum of natural images. A decorrelation of neural activity at the early stages of the visual system has been proposed to be beneficial for discarding statistical redundancies in the input signals. The results of this study suggest that fixational instability might contribute to establishing efficient representations of natural stimuli.

Temporal Dynamics of Decision-Making during Motion Perception in the Visual Cortex

How does the brain make decisions? Speed and accuracy of perceptual decisions covary with certainty in the input, and correlate with the rate of evidence accumulation in parietal and frontal cortical "decision neurons." A biophysically realistic model of interactions within and between Retina/LGN and cortical areas V1, MT, MST, and LIP, gated by basal ganglia, simulates dynamic properties of decision-making in response to ambiguous visual motion stimuli used by Newsome, Shadlen, and colleagues in their neurophysiological experiments. The model clarifies how brain circuits that solve the aperture problem interact with a recurrent competitive network with self-normalizing choice properties to carry out probablistic decisions in real time. Some scientists claim that perception and decision-making can be described using Bayesian inference or related general statistical ideas, that estimate the optimal interpretation of the stimulus given priors and likelihoods. However, such concepts do not propose the neocortical mechanisms that enable perception, and make decisions. The present model explains behavioral and neurophysiological decision-making data without an appeal to Bayesian concepts and, unlike other existing models of these data, generates perceptual representations and choice dynamics in response to the experimental visual stimuli. Quantitative model simulations include the time course of LIP neuronal dynamics, as well as behavioral accuracy and reaction time properties, during both correct and error trials at different levels of input ambiguity in both fixed duration and reaction time tasks. Model MT/MST interactions compute the global direction of random dot motion stimuli, while model LIP computes the stochastic perceptual decision that leads to a saccadic eye movement.

Simulations of X and Y Retinal Ganglion Cell Behavior with a Nonlinear Push-pull Model of Spatiotemporal Retinal Processing

This article describes a nonlinear model of neural processing in the vertebrate retina, comprising model photoreceptors, model push-pull bipolar cells, and model ganglion cells. Previous analyses and simulations have shown that with a choice of parameters that mimics beta cells, the model exhibits X-like linear spatial summation (null response to contrast-reversed gratings) in spite of photoreceptor nonlinearities; on the other hand, a choice of parameters that mimics alpha cells leads to Y-like frequency doubling. This article extends the previous work by showing that the model can replicate qualitatively many of the original findings on X and Y cells with a fixed choice of parameters. The results generally support the hypothesis that X and Y cells can be seen as functional variants of a single neural circuit. The model also suggests that both depolarizing and hyperpolarizing bipolar cells converge onto both ON and OFF ganglion cell types. The push-pull connectivity enables ganglion cells to remain sensitive to deviations about the mean output level of nonlinear photoreceptors. These and other properties of the push-pull model are discussed in the general context of retinal processing of spatiotemporal luminance patterns.

Miniature Eye Movements Enhance Fine Spatial Details

Our eyes are constantly in motion. Even during visual fixation, small eye movements continually jitter the location of gaze. It is known that visual percepts tend to fade when retinal image motion is eliminated in the laboratory. However, it has long been debated whether, during natural viewing, fixational eye movements have functions in addition to preventing the visual scene from fading. In this study, we analysed the influence in humans of fixational eye movements on the discrimination of gratings masked by noise that has a power spectrum similar to that of natural images. Using a new method of retinal image stabilization18, we selectively eliminated the motion of the retinal image that normally occurs during the intersaccadic intervals of visual fixation. Here we show that fixational eye movements improve discrimination of high spatial frequency stimuli, but not of low spatial frequency stimuli. This improvement originates from the temporal modulations introduced by fixational eye movements in the visual input to the retina, which emphasize the high spatial frequency harmonics of the stimulus. In a natural visual world dominated by low spatial frequencies, fixational eye movements appear to constitute an effective sampling strategy by which the visual system enhances the processing of spatial detail.

Neuroprotection resulting from insufficiency of RANBP2 is associated with the modulation of protein and lipid homeostasis of functionally diverse but linked pathways in response to oxidative stress.

Oxidative stress is a deleterious stressor associated with a plethora of disease and aging manifestations, including neurodegenerative disorders, yet very few factors and mechanisms promoting the neuroprotection of photoreceptor and other neurons against oxidative stress are known. Insufficiency of RAN-binding protein-2 (RANBP2), a large, mosaic protein with pleiotropic functions, suppresses apoptosis of photoreceptor neurons upon aging and light-elicited oxidative stress, and promotes age-dependent tumorigenesis by mechanisms that are not well understood. Here we show that, by downregulating selective partners of RANBP2, such as RAN GTPase, UBC9 and ErbB-2 (HER2; Neu), and blunting the upregulation of a set of orphan nuclear receptors and the light-dependent accumulation of ubiquitylated substrates, light-elicited oxidative stress and Ranbp2 haploinsufficiency have a selective effect on protein homeostasis in the retina. Among the nuclear orphan receptors affected by insufficiency of RANBP2, we identified an isoform of COUP-TFI (Nr2f1) as the only receptor stably co-associating in vivo with RANBP2 and distinct isoforms of UBC9. Strikingly, most changes in proteostasis caused by insufficiency of RANBP2 in the retina are not observed in the supporting tissue, the retinal pigment epithelium (RPE). Instead, insufficiency of RANBP2 in the RPE prominently suppresses the light-dependent accumulation of lipophilic deposits, and it has divergent effects on the accumulation of free cholesterol and free fatty acids despite the genotype-independent increase of light-elicited oxidative stress in this tissue. Thus, the data indicate that insufficiency of RANBP2 results in the cell-type-dependent downregulation of protein and lipid homeostasis, acting on functionally interconnected pathways in response to oxidative stress. These results provide a rationale for the neuroprotection from light damage of photosensory neurons by RANBP2 insufficiency and for the identification of novel therapeutic targets and approaches promoting neuroprotection.

Intraoperative spectral domain optical coherence tomography for vitreoretinal surgery.

We demonstrate in vivo human retinal imaging using an intraoperative microscope-mounted optical coherence tomography system (MMOCT). Our optomechanical design adapts an Oculus Binocular Indirect Ophthalmo Microscope (BIOM3), suspended from a Leica ophthalmic surgical microscope, with spectral domain optical coherence tomography (SD-OCT) scanning and relay optics. The MMOCT enables wide-field noncontact real-time cross-sectional imaging of retinal structure, allowing for SD-OCT augmented intrasurgical microscopy for intraocular visualization. We experimentally quantify the axial and lateral resolution of the MMOCT and demonstrate fundus imaging at a 20Hz frame rate.

Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.

Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader.

Functional desensitization of the isolated beta-adrenergic receptor by the beta-adrenergic receptor kinase: potential role of an analog of the retinal protein arrestin (48-kDa protein).

The beta-adrenergic receptor kinase is an enzyme, possibly analogous to rhodopsin kinase, that multiply phosphorylates the beta-adrenergic receptor only when it is occupied by stimulatory agonists. Since this kinase may play an important role in mediating the process of homologous, or agonist-specific, desensitization, we investigated the functional consequences of receptor phosphorylation by the kinase and possible analogies with the mechanism of action of rhodopsin kinase. Pure hamster lung beta 2-adrenergic receptor, reconstituted in phospholipid vesicles, was assessed for its ability to mediate agonist-promoted stimulation of the GTPase activity of coreconstituted stimulatory guanine nucleotide-binding regulatory protein. When the receptor was phosphorylated by partially (approximately 350-fold) purified preparations of beta-adrenergic receptor kinase, as much as 80% inactivation of its functional activity was observed. However, the use of more highly purified enzyme preparations led to a dramatic decrease in the ability of phosphorylation to inactivate the receptor such that pure enzyme preparations (approximately 20,000-fold purified) caused only minimal (approximately 1off/- 7%) inactivation. Addition of pure retinal arrestin (48-kDa protein or S antigen), which is involved in enhancing the inactivating effect of rhodopsin phosphorylation by rhodopsin kinase, led to partial restoration of the functional effect of beta-adrenergic receptor kinase-promoted phosphorylation (41 +/- 3% inactivation). These results suggest the possibility that a protein analogous to retinal arrestin may exist in other tissues and function in concert with beta-adrenergic receptor kinase to regulate the activity of adenylate cyclase-coupled receptors.

Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.

This study combines for the first time two major approaches to understanding the function and structure of neural circuits: large-scale multielectrode recordings, and confocal imaging of labeled neurons. To achieve this end, we develop a novel approach to the central problem of anatomically identifying recorded cells, based on the electrical image: the spatiotemporal pattern of voltage deflections induced by spikes on a large-scale, high-density multielectrode array. Recordings were performed from identified ganglion cell types in the macaque retina. Anatomical images of cells in the same preparation were obtained using virally transfected fluorescent labeling or by immunolabeling after fixation. The electrical image was then used to locate recorded cell somas, axon initial segments, and axon trajectories, and these signatures were used to identify recorded cells. Comparison of anatomical and physiological measurements permitted visualization and physiological characterization of numerically dominant ganglion cell types with high efficiency in a single preparation.

Frontal eye field neurons assess visual stability across saccades.

The image on the retina may move because the eyes move, or because something in the visual scene moves. The brain is not fooled by this ambiguity. Even as we make saccades, we are able to detect whether visual objects remain stable or move. Here we test whether this ability to assess visual stability across saccades is present at the single-neuron level in the frontal eye field (FEF), an area that receives both visual input and information about imminent saccades. Our hypothesis was that neurons in the FEF report whether a visual stimulus remains stable or moves as a saccade is made. Monkeys made saccades in the presence of a visual stimulus outside of the receptive field. In some trials, the stimulus remained stable, but in other trials, it moved during the saccade. In every trial, the stimulus occupied the center of the receptive field after the saccade, thus evoking a reafferent visual response. We found that many FEF neurons signaled, in the strength and timing of their reafferent response, whether the stimulus had remained stable or moved. Reafferent responses were tuned for the amount of stimulus translation, and, in accordance with human psychophysics, tuning was better (more prevalent, stronger, and quicker) for stimuli that moved perpendicular, rather than parallel, to the saccade. Tuning was sometimes present as well for nonspatial transaccadic changes (in color, size, or both). Our results indicate that FEF neurons evaluate visual stability during saccades and may be general purpose detectors of transaccadic visual change.