Research in bioinformatics and computational biology relies heavily on algorithms that facilitate the understanding of biological processes through the application of statistical ...
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
Computational neuroscience is an appealing interdisciplinary domain, at the interface between biology and computer science. It aims at understanding the experimental data obtained...
Abstract. In this paper we consider the following task: given an abstract state machine, characterize the subsets of initial values corresponding to different typical scenarios of...
Diversity is an important source of robustness in biological systems. Computers, by contrast, are notable for their lack of diversity. Although homogeneous systems have many advan...