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NIPS
2000
15 years 7 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
LCN
2006
IEEE
16 years 14 days ago
Biologically-Inspired Adaptive Data Aggregation for Multi-Modal Wireless Sensor Networks
This paper describes BiSNET (Biologically-inspired architecture for Sensor NETworks), which addresses several key issues in multi-modal wireless sensor networks such as autonomy, ...
Pruet Boonma, Junichi Suzuki
CIBCB
2005
IEEE
16 years 2 days ago
The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
Eleazar Eskin, Sagi Snir
BIOCOMP
2007
15 years 8 months ago
Quality-Based Similarity Search for Biological Sequence Databases
Low-Complexity Regions (LCRs) of biological sequences are the main source of false positives in similarity searches for biological sequence databases. We consider the problem of ï...
Xuehui Li, Tamer Kahveci
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 7 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...