Neural Comput - A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks.

Tópicos

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{ can(774) often(719) complex(702) }
{ framework(1458) process(801) describ(734) }
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{ model(3480) simul(1196) paramet(876) }
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{ ehr(2073) health(1662) electron(1139) }
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{ patient(2837) hospit(1953) medic(668) }
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{ cost(1906) reduc(1198) effect(832) }
{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
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{ method(2212) result(1239) propos(1039) }

Resumo

We introduce a framework for simulating signal propagation in geometric networks (networks that can be mapped to geometric graphs in some space) and developing algorithms that estimate (i.e., map) the state and functional topology of complex dynamic geometric networks. Within the framework, we define the key features typically present in such networks and of particular relevance to biological cellular neural networks: dynamics, signaling, observation, and control. The framework is particularly well suited for estimating functional connectivity in cellular neural networks from experimentally observable data and has been implemented using graphics processing unit high-performance computing. Computationally, the framework can simulate cellular network signaling close to or faster than real time. We further propose a standard test set of networks to measure performance and compare different mapping algorithms.

Resumo Limpo

introduc framework simul signal propag geometr network network can map geometr graph space develop algorithm estim ie map state function topolog complex dynam geometr network within framework defin key featur typic present network particular relev biolog cellular neural network dynam signal observ control framework particular well suit estim function connect cellular neural network experiment observ data implement use graphic process unit highperform comput comput framework can simul cellular network signal close faster real time propos standard test set network measur perform compar differ map algorithm

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