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» An integrative approach to modeling biological networks
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BIOADIT
2004
Springer
13 years 11 months ago
Biologically Plausible Speech Recognition with LSTM Neural Nets
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Alex Graves, Douglas Eck, Nicole Beringer, Jü...
CMSB
2009
Springer
13 years 11 months ago
On Coupling Models Using Model-Checking: Effects of Irinotecan Injections on the Mammalian Cell Cycle
Abstract. In systems biology, the number of models of cellular processes increases rapidly, but re-using models in different contexts or for different questions remains a challengi...
Elisabetta De Maria, François Fages, Sylvai...
ESANN
2007
13 years 9 months ago
A supervised learning approach based on STDP and polychronization in spiking neuron networks
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Hélène Paugam-Moisy, Régis Ma...
NAR
2011
216views Computer Vision» more  NAR 2011»
12 years 10 months ago
ChemProt: a disease chemical biology database
Systems pharmacology is an emergent area that studies drug action across multiple scales of complexity, from molecular and cellular to tissue and organism levels. There is a criti...
Olivier Taboureau, Sonny Kim Nielsen, Karine Audou...
APN
2006
Springer
13 years 9 months ago
From Petri Nets to Differential Equations - An Integrative Approach for Biochemical Network Analysis
Abstract. We report on the results of an investigation into the integration of Petri nets and ordinary differential equations (ODEs) for the modelling and analysis of biochemical n...
David Gilbert, Monika Heiner