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- W830482502 abstract "The storage capacity of a small spiking Hopfield network is investigated in terms of two parameters governing the conductance and inhibition of the synaptic connections. This is motivated by the possibility of constructing larger associative networks from small network clusters. These kinds of network architectures have been observed in nature and could possibly be a foundation for future applications.The investigation is conducted using simulations of integrate-and-fire neuron models and static synapses. Several different types of binary patterns are used to provide a detailed analysis of the storage capacity.The investigated parameters have influence on the storage capacity of the network and the capacity may be improved with the right choice of parameters. Also, differences in capacity for different pattern types are observed." @default.
- W830482502 created "2016-06-24" @default.
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- W830482502 date "2015-01-01" @default.
- W830482502 modified "2023-09-26" @default.
- W830482502 title "Weight Matrix Adaptation for increased Memory Storage Capacity in a Spiking Hopfield Network" @default.
- W830482502 hasPublicationYear "2015" @default.
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