Search Results - "Marshall, R. A."

An improved model of the lightning electromagnetic field interaction with the D-region ionosphere by Marshall, R. A.

“…We present an improved time‐domain model of the lightning electromagnetic pulse (EMP) interaction with the lower ionosphere. This improved model inherently…”
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Magnitude-sensitive reaction times reveal non-linear time costs in multi-alternative decision-making by Marshall, James A. R, Reina, Andreagiovanni, Hay, Célia, Dussutour, Audrey, Pirrone, Angelo

“…Optimality analysis of value-based decisions in binary and multi-alternative choice settings predicts that reaction times should be sensitive only to…”
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Stop Signals Provide Cross Inhibition in Collective Decision-Making by Honeybee Swarms by Seeley, Thomas D., Vissener, P. Kirk, Schlegel, Thomas, Hogan, Patrick M., Franks, Nigel R., Marshall, James A. R.

“…Honeybee swarms and complex brains show many parallels in how they make decisions. In both, separate populations of units (bees or neurons) integrate noisy…”
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Better tired than lost: Turtle ant trail networks favor coherence over short edges by Chandrasekhar, Arjun, Marshall, James A R, Austin, Cortnea, Navlakha, Saket, Gordon, Deborah M

“…Creating a routing backbone is a fundamental problem in both biology and engineering. The routing backbone of the trail networks of arboreal turtle ants…”
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Negative feedback may suppress variation to improve collective foraging performance by Reina, Andreagiovanni, Marshall, James A R

“…Social insect colonies use negative as well as positive feedback signals to regulate foraging behaviour. In ants and bees individual foragers have been…”
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A computational model of the integration of landmarks and motion in the insect central complex by Cope, Alex J, Sabo, Chelsea, Vasilaki, Eleni, Barron, Andrew B, Marshall, James A R

“…The insect central complex (CX) is an enigmatic structure whose computational function has evaded inquiry, but has been implicated in a wide range of…”
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Memory and communication efficient algorithm for decentralized counting of nodes in networks by Saha, Arindam, Marshall, James A R, Reina, Andreagiovanni

“…Node counting on a graph is subject to some fundamental theoretical limitations, yet a solution to such problems is necessary in many applications of graph…”
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A mechanism for value-sensitive decision-making by Pais, Darren, Hogan, Patrick M, Schlegel, Thomas, Franks, Nigel R, Leonard, Naomi E, Marshall, James A R

“…We present a dynamical systems analysis of a decision-making mechanism inspired by collective choice in house-hunting honeybee swarms, revealing the crucial…”
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Experimentally Derived Luminous Efficiencies for Aluminum and Iron at Meteoric Speeds by Tarnecki, L. K., Marshall, R. A., Fontanese, J., Sternovsky, Z., Munsat, T.

“…Calculating meteoroid masses from photometric observations relies on prior knowledge of the luminous efficiency, a parameter that is not well characterized;…”
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Mapping socio-economic scenarios of land cover change: A GIS method to enable ecosystem service modelling by Swetnam, R.D., Fisher, B., Mbilinyi, B.P., Munishi, P.K.T., Willcock, S., Ricketts, T., Mwakalila, S., Balmford, A., Burgess, N.D., Marshall, A.R., Lewis, S.L.

“…We present a GIS method to interpret qualitatively expressed socio-economic scenarios in quantitative map-based terms. (i) We built scenarios using local…”
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A survey of ELF and VLF research on lightning-ionosphere interactions and causative discharges by Inan, U. S., Cummer, S. A., Marshall, R. A.

“…Extremely low frequency (ELF) and very low frequency (VLF) observations have formed the cornerstone of measurement and interpretation of effects of lightning…”
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Effect of self-absorption on attenuation of lightning and transmitter signals in the lower ionosphere by Marshall, R. A.

“…The attenuation of VLF signals from lightning and ground‐based VLF transmitters during transionospheric propagation has been the subject of recent interest, as…”
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Decision-making without a brain: how an amoeboid organism solves the two-armed bandit by Reid, Chris R., MacDonald, Hannelore, Mann, Richard P., Marshall, James A. R., Latty, Tanya, Garnier, Simon

“…Several recent studies hint at shared patterns in decision-making between taxonomically distant organisms, yet few studies demonstrate and dissect mechanisms…”
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X‐ray Signatures of Lightning‐Induced Electron Precipitation by Marshall, R. A., Xu, W., Sousa, A., McCarthy, M., Millan, R.

“…We present detailed numerical modeling to predict expected X‐ray signatures from lightning‐induced electron precipitation (LEP) events. Simulations include the…”
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Group selection and kin selection: formally equivalent approaches by Marshall, James A.R.

“…Inclusive fitness theory, summarised in Hamilton's rule, is a dominant explanation for the evolution of social behaviour. A parallel thread of evolutionary…”
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Multiscale Modelling Tool: Mathematical modelling of collective behaviour without the maths by Marshall, James A R, Reina, Andreagiovanni, Bose, Thomas

“…Collective behaviour is of fundamental importance in the life sciences, where it appears at levels of biological complexity from single cells to…”
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Abstract concept learning in a simple neural network inspired by the insect brain by Cope, Alex J, Vasilaki, Eleni, Minors, Dorian, Sabo, Chelsea, Marshall, James A R, Barron, Andrew B

“…The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent…”
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How honey bees make fast and accurate decisions by MaBouDi, HaDi, Marshall, James A R, Dearden, Neville, Barron, Andrew B

“…Honey bee ecology demands they make both rapid and accurate assessments of which flowers are most likely to offer them nectar or pollen. To understand the…”
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On optimal decision-making in brains and social insect colonies by Marshall, James A R, Bogacz, Rafal, Dornhaus, Anna, Planqué, Robert, Kovacs, Tim, Franks, Nigel R

“…The problem of how to compromise between speed and accuracy in decision-making faces organisms at many levels of biological complexity. Striking parallels are…”
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A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee by Cope, Alex J, Sabo, Chelsea, Gurney, Kevin, Vasilaki, Eleni, Marshall, James A R

“…We present a novel neurally based model for estimating angular velocity (AV) in the bee brain, capable of quantitatively reproducing experimental observations…”
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