Toward a further understanding of object feature binding: a cognitive neuroscience perspective.

The aim of this thesis is to lead to a further understanding of the neural mechanisms underlying object feature binding in the human brain. The focus is on information processing and integration in the visual system and visual shortterm memory. From a review of the literature it is clear that there are three major competing binding theories, however, none of these individually solves the binding problem satisfactorily. Thus the aim of this research is to conduct behavioural experimentation into object feature binding, paying particular attention to visual short-term memory. The behavioural experiment was designed and conducted using a within-subjects delayed responset ask comprising a battery of sixty-four composite objects each with three features and four dimensions in each of three conditions (spatial, temporal and spatio-temporal).Findings from the experiment,which focus on spatial and temporal aspects of object feature binding and feature proximity on binding errors, support the spatial theories on object feature binding, in addition we propose that temporal theories and convergence, through hierarchical feature analysis, are also involved. Because spatial properties have a dedicated processing neural stream, and temporal properties rely on limited capacity memory systems, memories for sequential information would likely be more difficult to accuratelyr ecall. Our study supports other studies which suggest that both spatial and temporal coherence to differing degrees,may be involved in object feature binding. Traditionally, these theories have purported to provide individual solutions, but this thesis proposes a novel unified theory of object feature binding in which hierarchical feature analysis, spatial attention and temporal synchrony each plays a role. It is further proposed that binding takes place in visual short-term memory through concerted and integrated information processing in distributed cortical areas. A cognitive model detailing this integrated proposal is given. Next, the cognitive model is used to inform the design and suggested implementation of a computational model which would be able to test the theory put forward in this thesis. In order to verify the model, future work is needed to implement the computational model.Thus it is argued that this doctoral thesis provides valuable experimental evidence concerning spatio-temporal aspects of the binding problem and as such is an additional building block in the quest for a solution to the object feature binding problem

Toward a further understanding of object feature binding : a cognitive neuroscience perspective

The aim of this thesis is to lead to a further understanding of the neural mechanisms underlying object feature binding in the human brain. The focus is on information processing and integration in the visual system and visual shortterm memory. From a review of the literature it is clear that there are three major competing binding theories, however, none of these individually solves the binding problem satisfactorily. Thus the aim of this research is to conduct behavioural experimentation into object feature binding, paying particular attention to visual short-term memory. The behavioural experiment was designed and conducted using a within-subjects delayed responset ask comprising a battery of sixty-four composite objects each with three features and four dimensions in each of three conditions (spatial, temporal and spatio-temporal).Findings from the experiment,which focus on spatial and temporal aspects of object feature binding and feature proximity on binding errors, support the spatial theories on object feature binding, in addition we propose that temporal theories and convergence, through hierarchical feature analysis, are also involved. Because spatial properties have a dedicated processing neural stream, and temporal properties rely on limited capacity memory systems, memories for sequential information would likely be more difficult to accuratelyr ecall. Our study supports other studies which suggest that both spatial and temporal coherence to differing degrees,may be involved in object feature binding. Traditionally, these theories have purported to provide individual solutions, but this thesis proposes a novel unified theory of object feature binding in which hierarchical feature analysis, spatial attention and temporal synchrony each plays a role. It is further proposed that binding takes place in visual short-term memory through concerted and integrated information processing in distributed cortical areas. A cognitive model detailing this integrated proposal is given. Next, the cognitive model is used to inform the design and suggested implementation of a computational model which would be able to test the theory put forward in this thesis. In order to verify the model, future work is needed to implement the computational model.Thus it is argued that this doctoral thesis provides valuable experimental evidence concerning spatio-temporal aspects of the binding problem and as such is an additional building block in the quest for a solution to the object feature binding problem.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

First Annual Workshop on Space Operations Automation and Robotics (SOAR 87)

Several topics relative to automation and robotics technology are discussed. Automation of checkout, ground support, and logistics; automated software development; man-machine interfaces; neural networks; systems engineering and distributed/parallel processing architectures; and artificial intelligence/expert systems are among the topics covered

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

Pattern Recognition

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition

Poiesis in/between the Transferential Matrix: Insight, Imagination and the Relational Interpretation

The most important question for the Psychoanalytic Process Research is presumably what Mitchell calls the problem of “bootstrapping” the transferential matrix: how do the members of the dyad manage to disengage from being ‘heard’ according to old or unsuitable affective categories? On the grounds of a bi-phasic Conceptual and in-depth Analysis of the Psychoanalytic Complexity literature, I construct a minimal model of the psychoanalytic process as a theoretical context for conducting Process Research. According to the ‘story’ that I have read in the literature four main themes describe the process: a) the gradual emergence of a ‘phenomenological’ language that facilitates the flow of experience, b) the coupling, synchronicity and coordination of analyst and analysand, in ‘phase’ and ‘anti-phase’ at several levels, c) the shifting of the mental states and the thin and delicate slicing and sampling of experience that actualizes the emergence of mental objects and finally, d) Scaling that involves all those ‘mental’ processes that correct for the excesses or the deficiencies that are made evident during the shifting of mental states. Experience is generated as we ‘couple and shift’, and generative tensions appear as we ‘scale’ through this coupling and shifting process. Enactments, role-responsive transferences and countertransferences, testing of the transference and alliance or communication ruptures appear as coupled oscillating patterns that have both a repetitive and a developmental dynamic. Regarding the question of how we should study ‘Coupling, Shifting and Scaling’ I propose the adoption of an Enactivist epistemological framework which perceives the mind not as the workings of a representational machine but as a living process and the expression of an embodied living organism which in a “precarious” state of “needful freedom” (Jonas, in Thompson, 2007) strives to make sense of its environment. On the grounds of this framework I defend the view that we should study Scaling as an expression of the ‘radical dialogicality’ of the human mind that underlies the ‘structuring of experience’. I examine this ‘radical dialogicality’ at the level of inter-hemispheric differences, psychopathology and the enactive structuring of experience and the horizon of affective affordances in the clinical process. Finally, on the grounds of this conceptual analysis and its application to a case-study, I try to defend the view that, adopting relevant “dialogical” and micro-analytic methodological tools, we can achieve an appropriate level of ‘resolution’ so as to study “bootstrapping” at the moment-to-moment shifts in the experiential states or the shifts in attitudes that appear at bifurcation points in the system’s evolution. Through Scaling, the clinical dyad strives for a “maximum grip” of those experiential dimensions that carry the potential to expand the shared reality as a generative field and engage those surfaces of experience that bridge lost connections and separations, by fractalizing the dimensionality of the generative space. A detailed examination of the Scaling processes may bring us closer to a better understanding of the problem of “bootstrapping”