Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
: Quality requirements elicitation for new computer applications rests traditionally on interviewing stakeholders. That makes getting these requirements right more complicated than...
Vladimir A. Shekhovtsov, Roland Kaschek, Sergiy Zl...
One of the key issues with the practical applicability of Proof-Carrying Code (PCC) and its related methods is the difficulty in communicating and storing the proofs which are inh...
N-body simulations solve the n-body problem numerically and determine the trajectories of the n point masses. The result of these calculations is a huge amount of data detailing th...