Abstract. Time progress conditions in hybrid systems are usually speci ed in terms of invariants, predicates characterizing states where time can continuously progress or dually, d...
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...
We present a methodology to automatically construct robust signatures whose accuracy is based on formal reasoning so it can be systematically evaluated. Our methodology is based o...
This paper addresses the performance of bit-interleaved coded multiple beamforming (BICMB) [1], [2] with imperfect knowledge of beamforming vectors. Most studies for limited-rate ...
It has been recently discovered that a faithful representation for the shape of some simple distributions can be constructed using invariant statistics [1, 2]. In this paper, we c...