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Excitatory and inhibitory interactions in localized populations of model

by Hugh R. Wilson, Jack D. Cowan - Biophysics , 1972
"... ABSMAcr Coupled nonlinear differential equations are derived for the dynamics of spatially localized populations containing both excitatory and inhibitory model neurons. Phase plane methods and numerical solutions are then used to investigate population responses to various types of stimuli. The res ..."
Abstract - Cited by 495 (11 self) - Add to MetaCart
ABSMAcr Coupled nonlinear differential equations are derived for the dynamics of spatially localized populations containing both excitatory and inhibitory model neurons. Phase plane methods and numerical solutions are then used to investigate population responses to various types of stimuli

Packet Switching In Radio Channels: Part III -- Polling and . . .

by Fouad A. Tobagi, Leonard Kleinrock - IEEE TRANSACTIONS ON COMMUNICATIONS , 1976
"... Here we continue the analytic study of packet switching in radio channels which we reported upon in our two previous papers [ 11, [2]. Again we consider a population of terminals communicating with a central station over a packet-switched radio channel. The allocation of bandwidth among the contend ..."
Abstract - Cited by 517 (5 self) - Add to MetaCart
Here we continue the analytic study of packet switching in radio channels which we reported upon in our two previous papers [ 11, [2]. Again we consider a population of terminals communicating with a central station over a packet-switched radio channel. The allocation of bandwidth among

The particel swarm: Explosion, stability, and convergence in a multi-dimensional complex space

by Maurice Clerc, James Kennedy - IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTION
"... The particle swarm is an algorithm for finding optimal regions of complex search spaces through interaction of individuals in a population of particles. Though the algorithm, which is based on a metaphor of social interaction, has been shown to perform well, researchers have not adequately explained ..."
Abstract - Cited by 852 (10 self) - Add to MetaCart
The particle swarm is an algorithm for finding optimal regions of complex search spaces through interaction of individuals in a population of particles. Though the algorithm, which is based on a metaphor of social interaction, has been shown to perform well, researchers have not adequately

Ad-hoc On-Demand Distance Vector Routing

by Charles E. Perkins, Elizabeth M. Royer - IN PROCEEDINGS OF THE 2ND IEEE WORKSHOP ON MOBILE COMPUTING SYSTEMS AND APPLICATIONS , 1997
"... An ad-hoc network is the cooperative engagement of a collection of mobile nodes without the required intervention of any centralized access point or existing infrastructure. In this paper we present Ad-hoc On Demand Distance Vector Routing (AODV), a novel algorithm for the operation of such ad-hoc n ..."
Abstract - Cited by 3240 (14 self) - Add to MetaCart
-hoc networks. Each Mobile Host operates as a specialized router, and routes are obtained as needed (i.e., on-demand) with little or no reliance on periodic advertisements. Our new routing algorithm is quite suitable for a dynamic selfstarting network, as required by users wishing to utilize ad-hoc networks

Sticky Information versus Sticky Prices: a Proposal to Replace the New Keynesian Phillips Curve

by N. Gregory Mankiw, Ricardo Reis , 2002
"... This paper examines a model of dynamic price adjustment based on the assumption that information disseminates slowly throughout the population. Compared with the commonly used sticky-price model, this sticky-information model displays three related properties that are more consistent with accepted v ..."
Abstract - Cited by 489 (25 self) - Add to MetaCart
This paper examines a model of dynamic price adjustment based on the assumption that information disseminates slowly throughout the population. Compared with the commonly used sticky-price model, this sticky-information model displays three related properties that are more consistent with accepted

population dynamics of coastal cod

by Turid Follestad, Turid Follestad
"... A Bayesian hierarchical model for the population dynamics of coastal cod by ..."
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A Bayesian hierarchical model for the population dynamics of coastal cod by

Population Dynamics of an

by Unexploited Rockfish Sebastes, M. Key, M. Lowry, Y. Lucero, A. Maccall, D. Pearson, S. Ralston, W. Sydeman, J. Thayer
"... The shortbelly rockfish, Sebastes jordani, is one of the most abundant rockfish species in the California Current, and is a key forage species for many fish, birds, and marine mammals. This species has not been the target of commercial fisheries, and consequently catch data are lim-ited. Nevertheles ..."
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methods and a variety of both traditional and untraditional data, to investigate population changes for this ecologically important species. The results from this analysis provide an opportunity to consider the dynamic nature of an unexploited rockfish population, and should ultimately provide insight

The Dynamic Window Approach to Collision Avoidance

by Dieter Fox , Wolfram Burgard, Sebastian Thrun
"... This paper describes the dynamic window approach to reactive collision avoidance for mobile robots equipped with synchro-drives. The approach is derived directly from the motion dynamics of the robot and is therefore particularly well-suited for robots operating at high speed. It differs from previo ..."
Abstract - Cited by 433 (32 self) - Add to MetaCart
to safely control our mobile robot RHINO with speeds of up to 95 cm/sec, in populated and dynamic environments.

population dynamics of

by Stephen M. Bollens
"... model of the predatory impact of larval marine fish on the ..."
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model of the predatory impact of larval marine fish on the

POPULATION DYNAMICS

by Website Www. Ubos. Org , 2006
"... in the ..."
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