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The Cartridge: A Canonical Neural Circuit Abstraction Of The Lamina Neuropil - Construction And Composition Rules

Authors: Lazar, Aurel A.; Ukani, Nikul H.; Zhou, Yiyin;

The Cartridge: A Canonical Neural Circuit Abstraction Of The Lamina Neuropil - Construction And Composition Rules

Abstract

The Lamina is a neuropil that resides in the optic lobe of the early visual system of the fruit fly. Its neural circuit consists of some 700~800 cartridges. A cartridge is an atomic neural circuit abstraction whose I/O behavior can be studied in isolation. The anatomy of the neurons, neurotransmitter types and connectivity patterns of the neurons in the cartridge are briefly reviewed. A circuit-level model of a cartridge suitable for implementation on a GPU platform is presented in detail. Cartridge interconnects create neural circuits with different I/O characteristics. A number of cartridge composition rules for building neural circuits with different spatial I/O characteristics are discussed. We present a model neural circuit for initial functional evaluations and scaling of the Lamina and its interconnection with the Medulla. Implementation considerations of the Lamina neural circuit are discussed.

Additional documentation about Neurokernel project are available at http://neurokernel.github.io

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Keywords

lamina, vision, canonical neural circuit abstraction, drosophila, LPU

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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