Change blindness: eradication of gestalt strategies

Arrays of eight, texture-defined rectangles were used as stimuli in a one-shot change blindness (CB) task where there was a 50% chance that one rectangle would change orientation between two successive presentations separated by an interval. CB was eliminated by cueing the target rectangle in the first stimulus, reduced by cueing in the interval and unaffected by cueing in the second presentation. This supports the idea that a representation was formed that persisted through the interval before being 'overwritten' by the second presentation (Landman et al, 2003 Vision Research 43149–164]. Another possibility is that participants used some kind of grouping or Gestalt strategy. To test this we changed the spatial position of the rectangles in the second presentation by shifting them along imaginary spokes (by ±1 degree) emanating from the central fixation point. There was no significant difference seen in performance between this and the standard task [F(1,4)=2.565, p=0.185]. This may suggest two things: (i) Gestalt grouping is not used as a strategy in these tasks, and (ii) it gives further weight to the argument that objects may be stored and retrieved from a pre-attentional store during this task

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.Air Force Office of Scientific Research (F49620-01-1-0397); Defense Advanced Research Projects Agency and the Office of Naval Research (N00014-95-1-0409); Office of Naval Research (N00014-01-1-0624

A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture

The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise additional emergent behaviours via cognitive re-use, hence the Emergic prefix throughout. Nevertheless, the model is robust and parameter free. Differential re-use occurs in the nature of model interaction with a particular testing paradigm. ECM has a novel decomposition due to the requirements of handling motion and of supporting unified modelling via finer functional grains. The breadth of phenomenal behaviour covered is largely to lend credence to our novel decomposition. The Emergic Network architecture is a hybrid between classical connectionism and classical computationalism that facilitates the construction of unified cognitive models. It helps cutting up of functionalism into finer-grains distributed over space (by harnessing massive recurrence) and over time (by harnessing continuous change), yet simplifies by using standard computer code to focus on the interaction of information flows. Thus while the structure of the network looks neurocentric, the dynamics are best understood in flowcentric terms. Surprisingly, dynamic system analysis (as usually understood) is not involved. An Emergic Network is engineered much like straightforward software or hardware systems that deal with continuously varying inputs. Ultimately, this thesis addresses the problem of reduction and induction over complex systems, and the Emergic Network architecture is merely a tool to assist in this epistemic endeavour. ECM is strictly a sensory model and apart from perception, yet it is informed by phenomenology. It addresses the attribution problem of how much of a phenomenon is best explained at a sensory level of analysis, rather than at a perceptual one. As the causal information flows are stable under eye movement, we hypothesize that they are the locus of consciousness, howsoever it is ultimately realized

The integration of bottom-up and top-down signals in human perception in health and disease

To extract a meaningful visual experience from the information falling on the retina, the visual system must integrate signals from multiple levels. Bottom-up signals provide input relating to local features while top-down signals provide contextual feedback and reflect internal states of the organism. In this thesis I will explore the nature and neural basis of this integration in two key areas. I will examine perceptual filling-in of artificial scotomas to investigate the bottom-up signals causing changes in perception when filling-in takes place. I will then examine how this perceptual filling-in is modified by top-down signals reflecting attention and working memory. I will also investigate hemianopic completion, an unusual form of filling-in, which may reflect a breakdown in top-down feedback from higher visual areas. The second part of the thesis will explore a different form of top-down control of visual processing. While the effects of cognitive mechanisms such as attention on visual processing are well-characterised, other types of top-down signal such as reward outcome are less well explored. I will therefore study whether signals relating to reward can influence visual processing. To address these questions, I will employ a range of methodologies including functional MRI, magnetoencephalography and behavioural testing in healthy participants and patients with cortical damage. I will demonstrate that perceptual filling-in of artificial scotomas is largely a bottom-up process but that higher cognitive functions can modulate the phenomenon. I will also show that reward modulates activity in higher visual areas in the absence of concurrent visual stimulation and that receiving reward leads to enhanced activity in primary visual cortex on the next trial. These findings reveal that integration occurs across multiple levels even for processes rooted in early retinotopic regions, and that higher cognitive processes such as reward can influence the earliest stages of cortical visual processing

Cortical Dynamics of 3-D Figure-Ground Perception of 2-D Pictures

This article develops the FACADE theory of 3-D vision and figure-ground separation to explain data concerning how 2-D pictures give rise to 3-D percepts of occluding and occluded objects. These percepts include pop-out of occluding figures and amodal completion of occluded figures in response to line drawings, to Bregman-Kanizsa displays in which the relative contrasts of occluding and occluded surfaces are reversed, to White displays from which either transparent or opaque occlusion percepts can obtain, to Egusa and Kanizsa square displays in which brighter regions look closer, and to Kanizsa stratification displays in which bistable reversals of occluding and occluded surfaces occurs, and in which real contours and illusory contours compete to alter the reversal percept. The model describes how changes in contrast can alter a percept without a change in geometry, and conversely. More generally it shows how geometrical and contrastive properties of a picture can either cooperate or compete when forming the boundaries and surface representations that subserve conscious percepts. Spatially long-range cooperation and spatially short-range competition work together to separate the boundaries of occluding figures from their occluded neighbors. This boundary ownership process is sensitive to image T-junctions at which occluded figures contact occluding figures, but there are no explicit T-junction detectors in the network. Rather, the contextual balance of boundary cooperation and competition strengthens some boundaries while breaking others. These boundaries control the filling-in of color within multiple, depth-sensitive surface respresentations. Feedback between surface and boundary representations strengthens consistent boundaries while inhibiting inconsistent ones. It is suggested how both the boundary and the surface representations of occluded objects may be amodally completed, even while the surface representations of unocclucled objects become visible through modal completion. Distinct functional roles for conscious modal and amodal representations in object recognition, spatial attention, and reaching behaviors are discussed. Model interactions are interpreted in terms of visual, temporal, and parietal cortex. Model concepts provide a mechanistic neural explanation and revision of such Gestalt principles as good continuation, stratification, and non-accidental solution.Office of Naval Research (N00014-91-J-4100, N00014-95-I-0409, N00014-95-I-0657, N00014-92-J-11015

Tracking and analysis of movement at different scales: from endosomes to humans

Movement is apparent across all spatio-temporal scales in biology and can have a significant effect on the survival of the individual. For this reason, it has been the object of study in a wide range of research fields, i.e. in molecular biology, pharmaceutics, medical research but also in behavioural biology and ecology. The aim of the thesis was to provide methodologies and insight on the movement patterns seen at different spatio-temporal scales in biology; the intra-cellular, the cellular and the organism level. At the intra-cellular level, current thesis studied the compartmental inheritance in Human Osteosarcoma (U2-OS) cells. The inheritance pattern of the endosomal quantum dot fluorescence across two consecutive generations was for first time empirically revealed. In addition, a in silico model was developed to predict the inheritance across multiple generations. At the cellular level, a semi-automated routine was developed that can realize long-term nuclei tracking in U2-OS cell populations labeled with a cell cycle marker in their cytoplasm. A method to extract cell cycle information without the need to explicitly segment the cells was proposed. The movement behaviour of the cellular population and their possible inter-individual differences was also studied. Lastly, at the organism level, the focus of the thesis was to study the emergence of coordination in unfamiliar free-swimming stickleback fish shoals. It was demonstrated that there exist two different phases, the uncoordinated and the coordinated. In addition, the significance of uncoordinated phase to the establishment of the group’s social network was for first time evinced. The adaptation of the stickleback collectives was also studied over time, i.e. the effect of group’s repeated interactions on the emergence of coordination. Findings at the intra-cellular and cellular level can have significant implications on medical and pharmaceutical research. Findings at the organism level can also contribute to the understanding of how social interactions are formed and maintained in animal collectives

Quasi-Modal Encounters Of The Third Kind: The Filling-In Of Visual Detail

Although Pessoa et al. imply that many aspects of the filling-in debate may be displaced by a regard for active vision, they remain loyal to naive neural reductionist explanations of certain pieces of psychophysical evidence. Alternative interpretations are provided for two specific examples and a new category of filling-in (of visual detail) is proposed