Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at the same time. The motivation comes both from constructing small universal systems...
Haiming Chen, Mihai Ionescu, Tseren-Onolt Ishdorj,...
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
We have constructed a FPGA-based "early neural circuit simulator" to model the first two stages of stimulus encoding and processing in the rat whisker system. Rats use t...
Brian Leung, Yan Pan, Chris Schroeder, Seda Ogrenc...
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...