A central problem in bioinformatics and systems biology is the selection of appropriate models in a rational and systematic way. This fundamentally combinatorial problem can be re...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Ioa...
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...
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
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...
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...