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ESANN
2004
13 years 9 months ago
Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
Hesham H. Amin, Robert H. Fujii
BMCBI
2011
13 years 3 months ago
Estimating developmental states of tumors and normal tissues using a linear time-ordered model
Background: Tumor cells are considered to have an aberrant cell state, and some evidence indicates different development states appearing in the tumorigenesis. Embryonic developme...
Bo Zhang, Beibei Chen, Tao Wu, Zhenyu Xuan, Xiaope...
ICCS
2009
Springer
14 years 2 months ago
Simulating Individual-Based Models of Epidemics in Hierarchical Networks
Current mathematical modeling methods for the spreading of infectious diseases are too simplified and do not scale well. We present the Simulator of Epidemic Evolution in Complex ...
Rick Quax, David A. Bader, Peter M. A. Sloot
FTRTFT
1994
Springer
14 years 12 days ago
Specification and Refinement of Finite Dataflow Networks - a Relational Approach
We specify the black box behavior of dataflow components by characterizing the relation between their input and their output histories. We distinguish between three main classes of...
Manfred Broy, Ketil Stølen
ANSS
2008
IEEE
14 years 2 months ago
A Simulation Study of Common Mobility Models for Opportunistic Networks
Understanding mobility characteristics is important for the design and analysis of routing schemes for mobile ad hoc networks (MANETs). This is especially true for mobile opportun...
Muhammad Abdulla, Robert Simon