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The publication proposes a critical reading of the results emerging from the Seminar organised in January 2010 by the Department of Architectural and Design Technology on research tools for the architectural project. The spatial layout of buildings and urban spaces influences behaviour and the relations of the users, and in this displays the social nature of the architectural function in comparison to other spheres of design. Space Syntax (theory, methodology and techniques for the analysis of complex systems) takes this theory as the basis for its research. The seminar, attended by leading academic and professional figures, offered the opportunity for exchange between its own research and the experiences carried forward by the Space Syntax research and consultancy group.

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Experimental data have consistently revealed that the neuronal connection weight, which models the efficacy of the firing of a pre-synaptic neuron in modulating the state of a post-synaptic one, varies on short time scales, ranging from hundreds to thousands of milliseconds. This is called short-term plasticity (STP). Two types of STP, with opposite effects on the connection efficacy, have been observed in experiments. They are short-term depression (STD) and short-term facilitation (STF). Computational studies have explored the impact of STP on network dynamics, and found that STP can generate very rich intrinsic dynamical behaviors, including damped oscillations, state hopping with transient population spikes, traveling fronts and pulses, spiral waves, rotating bump states, robust self-organized critical activities and so on. These studies also strongly suggest that STP can play many important roles in neural computation. For instances, STD may provide a dynamic control mechanism that allows equal fractional changes on rapidly and slowly firing afferents to produce post-synaptic responses, realizing Weber's law; STD may provide a mechanism to close down network activity naturally, achieving iconic sensory memory; and STF may provide a mechanism for implementing work-memory not relying on persistent neural firing. From the computational point of view, the time scale of STP resides between fast neural signaling (in the order of milliseconds) and rapid learning (in the order of minutes or above), which is the time scale of many important temporal processes occurring in our daily lives, such as motion control and working memory. Thus, STP may serve as a substrate for neural systems manipulating temporal information on the relevant time scales. This Research Topic aims to present the recent progress in understanding the roles of STP in neural information processing. It includes, but no exclusively, the studies on investigating various computational roles of STP, the modeling studies on exploring new dynamical behaviors generated by STP, and the experimental works which help us to understand the functional roles of STP.

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Amol Mane

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Shankar Distillers

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QKS Group’ Finance, Accounting and BPO market research includes a detailed analysis of the global market regarding emerging technology trends, market trends, and future market outlook.

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