A New Architecture for Digital Stochastic Pulse-Mode Neurons Based on The Voting Circuit  

Oleh:

Martincigh, M. ; Abramo, A.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 6 (Nov. 2005), page 1685-1693.
Topik: NEURONS; architecture; digital stochastic; pulse - mode neurons; voting circuit

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper presents a new kind of architecture for artificial digital neurons based on the voting circuit, which may be considered an improved version of those presented in literature. Stochastic pulse modulation has been used, where the values of the neuron's inputs are coded in terms of bit probabilities. The resulting activation function closely resembles the logistic sigmoid, with a transition slope that can be selected at the architectural level with no additional hardware requirements. The proposed neuron architecture has been simulated in software. Simulation results confirm that the neuron features a sigmoid transfer characteristic similar to that of conventional voting circuits. The resource occupation of the neuron, as obtained from implementation on reconfigurable platforms, has been estimated to be significantly lower than previous implementations. The theoretical analysis of the neuron's behaviour is also presented.

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