: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory...
A balanced network leads to contradictory constraints on memory models, as exemplified in previous work on accommodation of synfire chains. Here we show that these constraints can...
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina