4 citations · 5 across the 5 of their papers we have counts for
5 papers
Sparse and silent coding in neural circuits
András Lőrincz, Zsolt Palotai, Gábor Szirtes
Sparse coding algorithms are about finding a linear basis in which signals can be represented by a small number of active (non-zero) coefficients. Such coding has many applications…
Selection in Scale-Free Small World
Zs. Palotai, Cs. Farkas, A. Lorincz
In this paper we compare the performance characteristics of our selection based learning algorithm for Web crawlers with the characteristics of the reinforcement learning algorithm…
Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication
Zsolt Palotai, Sandor Mandusitz, Andras Lorincz
WWW has a scale-free structure where novel information is often difficult to locate. Moreover, Intelligent agents easily get trapped in this structure. Here a novel method is put f…
Emergence of scale-free properties in Hebbian networks
Gabor Szirtes, Zsolt Palotai, Andras Lorincz
The fundamental `plasticity' of the nervous system (i.e high adaptability at different structural levels) is primarily based on Hebbian learning mechanisms that modify the synaptic…
HebbNets: Dynamic network with Hebbian learning rule
G. Szirtes, Zs. Palotai, A. Lorincz
It has been demonstrated that one of the most striking features of the nervous system, the so called 'plasticity' (i.e high adaptability at different structural levels) is primaril…