A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines

Information in neural networks is represented as weighted connections, or synapses, between neurons. This poses a problem as the primary computational bottleneck for neural networks is the vector-matrix multiply when inputs are multiplied by the neural network weights. Conventional processing architectures are not well suited for simulating neural networks, often requiring large amounts of energy and time. Additionally, synapses in biological neural networks are not binary connections, but exhibit a nonlinear response function as neurotransmitters are emitted and diffuse between neurons. Inspired by neuroscience principles, we present a digital neuromorphic architecture, the Spiking Temporal Processing Unit (STPU), capable of modeling arbitrary complex synaptic response functions without requiring additional hardware components. We consider the paradigm of spiking neurons with temporally coded information as opposed to non-spiking rate coded neurons used in most neural networks. In this paradigm we examine liquid state machines applied to speech recognition and show how a liquid state machine with temporal dynamics maps onto the STPU-demonstrating the flexibility and efficiency of the STPU for instantiating neural algorithms.Comment: 8 pages, 4 Figures, Preprint of 2017 IJCN

The Sugar Masters: Slavery, Economic Development, and Modernization on Louisiana Sugar Plantations, 1820-1860.

In this dissertation, I contend that sugar planters in the antebellum South managed their estates progressively, efficiently, and with a capitalist political economy and ideology. By embracing slavery, technology, and a host of improvements, sugar planters strove to create integrated units producing, manufacturing, and marketing sugar on an agro-industrial scale. Despite a century of historiographical debate, historians remain divided over the incompatibility of slavery with industrial and agricultural innovation. Whether they look to Adam Smith or Karl Marx, most historians deem free labor a necessity for technology and growth. This, however, appears inaccurate, as antebellum sugar planters confidently advocated improvement and saw no contradiction between capitalism and slavery. The quantitative and qualitative growth of the antebellum sugar industry remains testament to that fact. In the past twenty years, a group of scholars challenged the notion that slavery and the antebellum South were pre-capitalist. Their work, while underpinning my own study, failed to satisfactorily prove that antebellum planters operated as entrepreneurial capitalists. My dissertation hopefully fills this void as few scholars have systematically analyzed the growth of a single planter class that was so reliant on the synchronization of agriculture and industry as the Louisiana sugar masters. These agricultural magnates responded to a burgeoning market for sugar by spatially expanding their cane crops, adopting modern agricultural techniques, embracing technological improvement, practicing innovative management and shaping the dynamics of slavery to maximize labor productivity. Progressive and entrepreneurial, the sugar planters brought south Louisiana into an age of capitalist modernity. Southern progress, however, differed fundamentally from that of the North because the laborers who transformed the sugar industry and manned the steam engines were African-American slaves who materially advanced the process of modernization. By imposing order and discipline in the work-place, the planters hoped to transform their laborers into industrial workers who toiled at the mechanical pace of the steam age. To a large extent, they were successful, but to obtain the labor they required, the planters adopted both the lash and a complex system of rewards to motivate their workers during the harvest season

Diel light cycles affect phytoplankton competition in the global ocean

© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Tsakalakis, I., Follows, M. J., Dutkiewicz, S., Follett, C. L., & Vallino, J. J. Diel light cycles affect phytoplankton competition in the global ocean. Global Ecology and Biogeography, 31(9), (2022): 1838-1849, https://doi.org/10.1111/geb.13562.Aim Light, essential for photosynthesis, is present in two periodic cycles in nature: seasonal and diel. Although seasonality of light is typically resolved in ocean biogeochemical–ecosystem models because of its significance for seasonal succession and biogeography of phytoplankton, the diel light cycle is generally not resolved. The goal of this study is to demonstrate the impact of diel light cycles on phytoplankton competition and biogeography in the global ocean. Location Global ocean. Major taxa studied Phytoplankton. Methods We use a three-dimensional global ocean model and compare simulations of high temporal resolution with and without diel light cycles. The model simulates 15 phytoplankton types with different cell sizes, encompassing two broad ecological strategies: small cells with high nutrient affinity (gleaners) and larger cells with high maximal growth rate (opportunists). Both are grazed by zooplankton and limited by nitrogen, phosphorus and iron. Results Simulations show that diel cycles of light induce diel cycles in limiting nutrients in the global ocean. Diel nutrient cycles are associated with higher concentrations of limiting nutrients, by 100% at low latitudes (−40° to 40°), a process that increases the relative abundance of opportunists over gleaners. Size classes with the highest maximal growth rates from both gleaner and opportunist groups are favoured by diel light cycles. This mechanism weakens as latitude increases, because the effects of the seasonal cycle dominate over those of the diel cycle. Main conclusions Understanding the mechanisms that govern phytoplankton biogeography is crucial for predicting ocean ecosystem functioning and biogeochemical cycles. We show that the diel light cycle has a significant impact on phytoplankton competition and biogeography, indicating the need for understanding the role of diel processes in shaping macroecological patterns in the global ocean.Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems supported M.J.F. and S.D. on CBIOMES grant #549931; C.L.F. on CBIOMES grants #827829 and #553242; and J.J.V. and I.T. on CBIOMES grant #549941. The National Science Foundation supported I.T. and J.J.V. on award #1558710 and J.J.V. on awards #1637630, #1655552 and #1841599

Post-harvest entomology research in the United States Department of Agriculture–Agricultural Research Service

This is a review of current post-harvest entomology research conducted by the Agricultural Research Service, the research branch of the US Department of Agriculture. The review covers both durable and perishable commodities. Research on biochemistry, genetics, physiology, monitoring and control of insects infesting stored grain, dried fruits and nuts, and processed commodities is reviewed. Research on development of quarantine treatments, particularly for fruit flies, is also reviewed, including research on thermal and irradiation treatments and a discussion of risk management for quarantine pests. Two areas of research are covered more extensively: a project to map the genome of the red flour beetle, Tribolium castaneum, and the use of near-infrared spectroscopy for detection of hidden infestations in grain, quantification of insect fragments in food, determination of quality in dried fruits, identification of insect species and age-grading insects. Future research directions are identified