An application-specific image processing array based on WSe2 transistors with electrically switchable logic functions

With the rapid development of artificial intelligence, parallel image processing is becoming an increasingly important ability of computing hardware. To meet the requirements of various image processing tasks, the basic pixel processing unit contains multiple functional logic gates and a multiplexer, which leads to notable circuit redundancy. The pixel processing unit retains a large optimizing space to solve the area redundancy issues in parallel computing. Here, we demonstrate a pixel processing unit based on a single WSe2 transistor that has multiple logic functions (AND and XNOR) that are electrically switchable. We further integrate these pixel processing units into a low transistor-consumption image processing array, where both image intersection and image comparison tasks can be performed. Owing to the same image processing power, the consumption of transistors in our image processing unit is less than 16% of traditional circuits.

A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain

The Drosophila brain has only a fraction of the number of neurons of higher organisms such as mice. Yet the sheer complexity of its neural circuits recently revealed by large connectomics datasets suggests that computationally modeling the function of fruit fly brain at this scale posits significant challenges. To address these challenges, we present here a programmable ontology that expands the scope of the current Drosophila brain anatomy ontologies to encompass the functional logic of the fly brain. The programmable ontology provides a language not only for defining functional circuit motifs but also for programmatically exploring their functional logic. To achieve this goal, we tightly integrated the programmable ontology with the workflow of the interactive FlyBrainLab computing platform. As part of the programmable ontology, we developed NeuroNLP++, a web application that supports free-form English queries for constructing functional brain circuits fully anchored on the available connectome/synaptome datasets, and the published worldwide literature. In addition, we present a methodology for including a model of the space of odorants into the programmable ontology, and for modeling olfactory sensory circuits of the antenna of the fruit fly brain that detect odorant sources. Furthermore, we describe a methodology for modeling the functional logic of the antennal lobe circuit consisting of massive local feedback loops, a characteristic feature observed across Drosophila brain regions. Finally, using a circuit library, we demonstrate the power of our methodology for interactively exploring the functional logic of the massive number of feedback loops in the antennal lobe.

The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe

In the early olfactory pathway of Drosophila, Olfactory Sensory Neurons (OSNs) multiplicatively encode the odorant identity and the concentration profile. Projection Neurons (PNs) responses in the Antennal Lobe (AL), in turn, exhibit strong transients at odorant onset/offset and stable steady-state behavior. What is the functional logic the of diverse set of Local Neurons (LNs) in the AL Addressing this question may shed light on the key characteristics of odor information processing in the AL, and odorant recognition and olfactory associative learning in the downstream neuropils of the early olfactory system. To address the computation performed by each LN type, we exhaustively evaluated all circuit configurations of the Antennal Lobe. We found that, across model parameterizations, presynaptic inhibition of the OSN-to-PN synapse is essential for odorant identity recovery in steady-state, while postsynaptic excitation and inhibition facilitate on-/off-set event detection. The onset and offset events indicate changing odorant identities, and together with the identity recovery in steady-state, suggest that the AL is an event-based odorant identity recovery processor.

Diagrams in Architecture: An Examination of Diagram Based Design Methods in Contemporary Urban Architecture Projects

<p>This research explores the relationship between the use of diagrams in architectural production and an architectural outcome which redefines conventional relationships between urban built form and open space. Several prominent architecture practices whose design methodologies are based extensively on diagrams produce architectural outcomes which relate to their surrounding physical context in unusual ways, presenting alternative solutions to conventional urban design principles and representing an emerging trend in urban design. A variety diagram types are utilised in different ways in the design processes of these key 'diagrammatic' practices. Design proposals responding to the same brief examine the architectural and urban design outcomes of different types of diagram use. Two different diagrammatic design methodologies are executed, producing two design proposals for a complex mixed use development in central Wellington. Each diagrammatic design methodology has different implications for the relationships between built form and open space by emphasising different factors in the design process and progressing differently from diagram into built form. One method emphasises continuity and connection, thereby minimising the typical distinctions between built form and open space. The other method emphasises a strict functional logic to produce unusual programmatic organisations which create ambiguity between the building's inside and outside. Instrumentalising diagrams in the design process aids in the management of the project's complexities, allows the design to develop in an abstract manner, and presents the often unusual design outcomes on the basis of an underlying functional logic, thereby providing a significant contribution to the realisation of new architectural and urban design solutions.</p>

Diagrams in Architecture: An Examination of Diagram Based Design Methods in Contemporary Urban Architecture Projects

<p>This research explores the relationship between the use of diagrams in architectural production and an architectural outcome which redefines conventional relationships between urban built form and open space. Several prominent architecture practices whose design methodologies are based extensively on diagrams produce architectural outcomes which relate to their surrounding physical context in unusual ways, presenting alternative solutions to conventional urban design principles and representing an emerging trend in urban design. A variety diagram types are utilised in different ways in the design processes of these key 'diagrammatic' practices. Design proposals responding to the same brief examine the architectural and urban design outcomes of different types of diagram use. Two different diagrammatic design methodologies are executed, producing two design proposals for a complex mixed use development in central Wellington. Each diagrammatic design methodology has different implications for the relationships between built form and open space by emphasising different factors in the design process and progressing differently from diagram into built form. One method emphasises continuity and connection, thereby minimising the typical distinctions between built form and open space. The other method emphasises a strict functional logic to produce unusual programmatic organisations which create ambiguity between the building's inside and outside. Instrumentalising diagrams in the design process aids in the management of the project's complexities, allows the design to develop in an abstract manner, and presents the often unusual design outcomes on the basis of an underlying functional logic, thereby providing a significant contribution to the realisation of new architectural and urban design solutions.</p>

Building the Enactment Engagement Language Stored Program :Leemapper

This is about the necessary requirements needed to build an application of Lee class structures. The requirements look at the parameters needed to have a functional logic system. This is on Leemapper application and details of execution as outputs are also shown.

Evolving the Olfactory System with Machine Learning

The convergent evolution of the fly and mouse olfactory system led us to ask whether the anatomic connectivity and functional logic in vivo would evolve in artificial neural networks constructed to perform olfactory tasks. Artificial networks trained to classify odor identity recapitulate the connectivity inherent in the olfactory system. Input units are driven by a single receptor type, and units driven by the same receptor converge to form a glomerulus. Glomeruli exhibit sparse, unstructured connectivity to a larger, expansion layer. When trained to both classify odor and impart innate valence on odors, the network develops independent pathways for innate output and odor classification. Thus, artificial networks evolve even without the biological mechanisms necessary to build these systems in vivo, providing a rationale for the convergent evolution of olfactory circuits.

A functional logic for neurotransmitter co-release in the cholinergic forebrain pathway

The forebrain cholinergic system has recently been shown to co-release both acetylcholine and GABA. We have discovered that such co-release by cholinergic inputs to the claustrum differentially affects neurons that project to cortical versus subcortical targets. The resulting changes in neuronal gain toggles network efficiency and discriminability of output between two different projection subcircuits. Our results provide a potential logic for neurotransmitter co-release in cholinergic systems.