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» A Reconfigurable Computing Model for Biological Research
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NEUROSCIENCE
2001
Springer
15 years 1 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
77
Voted
BMVC
2002
14 years 12 months ago
Modelling life cycle related and individual shape variation in biological specimens
The main purpose of this research is to develop methods for automatic identification of biological specimens in digital photographs and drawings held in a database. Incorporation ...
Y. A. Hicks, A. David Marshall, Ralph R. Martin, P...
FUIN
2010
136views more  FUIN 2010»
14 years 6 months ago
Modeling Biology using Generic Reactive Animation
Abstract. Complex biological systems involve incorporated behaviors of numerous processes, mechanisms and objects. However, experimental analysis, by its nature, divides biological...
Yaki Setty, Irun R. Cohen, David Harel
92
Voted
BMCBI
2005
98views more  BMCBI 2005»
14 years 9 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
91
Voted
ICES
2003
Springer
111views Hardware» more  ICES 2003»
15 years 2 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...