A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Biological network analysis is an interdisciplinary field that maps, characterises and elucidates the myriad interactions among genes, proteins, metabolites and other molecular entities. By ...

Network motif discovery seeks to identify small, recurrent subgraph patterns that recur more frequently than expected by chance within biological networks. These motifs are considered the building ...

Of the many big, unanswered questions in this Universe, the ones pertaining to the functioning of biological neural networks are probably among the most intriguing. From the lowliest neurally gifted ...

Some of you may remember that the ship’s computer on Star Trek: Voyager contained bioneural gel packs. Researchers have taken us one step closer to a biocomputing future with a study on the potential ...

Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...

Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building neural ...

What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...