Representing ‘the Real’: Realism and Visual Culture in Tourism, Leisure and Ethnography

The collection and use of visual evidence is widespread in a wide range of academic and professional activities. The paper explores the similarities and differences of a range of related phenomena: realism, documentary and authenticity. The status of the ‘realism effect’ is evaluated in a range of leisure activities with an emphasis on tourism and the significance of realist texts in popular culture in narrative and nonnarrative forms. The creative treatment of the representation of reality in the documentary tradition is highlighted. The paper emphasises the pleasures to be gained from ‘experiencing the real’ using semiotics and film theory, in particular. There is a discussion of the possible ideological effects of these pleasures as well as more fundamental matters relating to the extent to which we are able to actually experience the ‘real’ in any meaningful way. The argument develops that the pleasures of realist cultural forms may also be found in academic work too. The representations of reality using written and visual forms in ethnography are explored: consumers of academic work as well as popular cultural forms employ a series of codes and conventions and these forms may be subjected to post-structuralist analyses

Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex

In whiskered animals, activity is evoked in the primary sensory afferent cells (trigeminal nerve) by mechanical stimulation of the whiskers. In some cell populations this activity is correlated well with continuous stimulus parameters such as whisker deflection magnitude, but in others it is observed to represent events such as whisker-stimulator contact or detachment. The transduction process is mediated by the mechanics of the whisker shaft and follicle-sinus complex (FSC), and the mechanics and electro-chemistry of mechanoreceptors within the FSC. An understanding of this transduction process and the nature of the primary neural codes generated is crucial for understanding more central sensory processing in the thalamus and cortex. However, the details of the peripheral processing are currently poorly understood. To overcome this deficiency in our knowledge, we constructed a simulated electro-mechanical model of the whisker-FSC-mechanoreceptor system in the rat and tested it against a variety of data drawn from the literature. The agreement was good enough to suggest that the model captures many of the key features of the peripheral whisker system in the rat

Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach

In this paper, we present two versions of a hardware processing architecture for modeling large networks of leaky-integrate-and-fire (LIF) neurons; the second version provides performance enhancing features relative to the first. Both versions of the architecture use fixed-point arithmetic and have been implemented using a single field-programmable gate array (FPGA). They have successfully simulated networks of over 1000 neurons configured using biologically plausible models of mammalian neural systems. The neuroprocessor has been designed to be employed primarily for use on mobile robotic vehicles, allowing bio-inspired neural processing models to be integrated directly into real-world control environments. When a neuroprocessor has been designed to act as part of the closed-loop system of a feedback controller, it is imperative to maintain strict real-time performance at all times, in order to maintain integrity of the control system. This resulted in the reevaluation of some of the architectural features of existing hardware for biologically plausible neural networks (NNs). In addition, we describe a development system for rapidly porting an underlying model (based on floating-point arithmetic) to the fixed-point representation of the FPGA-based neuroprocessor, thereby allowing validation of the hardware architecture. The developmental system environment facilitates the cooperation of computational neuroscientists and engineers working on embodied (robotic) systems with neural controllers, as demonstrated by our own experience on the Whiskerbot project, in which we developed models of the rodent whisker sensory system. © 2007 IEEE