High capacity, small world associative memory models
نویسندگان
چکیده
منابع مشابه
High Capacity, Small World Associative Memory Models NEIL DAVEY, LEE CALCRAFT and ROD ADAMS
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symmetric connectivity. Here we investigate sparse networks of threshold units, trained with the perceptron learning rule. The units are given position and are arranged in a ring. The connectivity graph varies between bein...
متن کاملSign Constrained High Capacity Associative Memory Models
Biological neural networks do not allow the synapses to choose their own sign: excitatory or inhibitory. The consequences of imposing such a sign-constraint on the weights of the standard Hopfield associative memory architecture, trained using perceptron like learning, are examined in this paper. The capacity and attractor performance of these networks is empirically investigated, with sign-con...
متن کاملEfficient architectures for sparsely-connected high capacity associative memory models
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 range of architectures is explored in search of optimal connection strategies which maximise pattern-completion performance, while at the same time minimising wiring costs. It is found that architectures in which t...
متن کاملEfficient associative memory using small-world architecture
Most models of neural associative memory have used networks with broad connectivity. However, from both a neurobiological viewpoint and an implementation perspective, it is logical to minimize the length of inter-neural connections and consider networks whose connectivity is predominantly local. The `small-world networksa model described recently by Watts and Strogatz provides an interesting ap...
متن کاملEecient Associative Memory Using Small-world Architecture
Most models of neural associative memory have used networks with broad connectivity. However, from both a neurobiological viewpoint and an implementation perspective, it is logical to minimize the length of inter-neural connections and consider networks whose connectivity is predominantly local. The \small-world networks" model described recently by Watts and Strogatz provides an interesting ap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Connection Science
سال: 2006
ISSN: 0954-0091,1360-0494
DOI: 10.1080/09540090600639339