TY - JOUR
T1 - Emulation of neural networks on a nanoscale architecture
AU - Eshaghian-Wilner, Mary M.
AU - Friesz, Aaron
AU - Khitun, Alex
AU - Navab, Shiva
AU - Parker, Alice C.
AU - Wang, Kang L.
AU - Zhou, Chongwu
PY - 2007/4/1
Y1 - 2007/4/1
N2 - In this paper, we propose using a nanoscale spin-wave-based architecture for implementing neural networks. We show that this architecture can efficiently realize highly interconnected neural network models such as the Hopfield model. In our proposed architecture, no point-to-point interconnection is required, so unlike standard VLSI design, no fan-in/fan-out constraint limits the interconnectivity. Using spin-waves, each neuron could broadcast to all other neurons simultaneously and similarly a neuron could concurrently receive and process multiple data. Therefore in this architecture, the total weighted sum to each neuron can be computed by the sum of the values from all the incoming waves to that neuron. In addition, using the superposition property of waves, this computation can be done in O(1) time, and neurons can update their states quite rapidly.
AB - In this paper, we propose using a nanoscale spin-wave-based architecture for implementing neural networks. We show that this architecture can efficiently realize highly interconnected neural network models such as the Hopfield model. In our proposed architecture, no point-to-point interconnection is required, so unlike standard VLSI design, no fan-in/fan-out constraint limits the interconnectivity. Using spin-waves, each neuron could broadcast to all other neurons simultaneously and similarly a neuron could concurrently receive and process multiple data. Therefore in this architecture, the total weighted sum to each neuron can be computed by the sum of the values from all the incoming waves to that neuron. In addition, using the superposition property of waves, this computation can be done in O(1) time, and neurons can update their states quite rapidly.
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U2 - 10.1088/1742-6596/61/1/058
DO - 10.1088/1742-6596/61/1/058
M3 - Article
AN - SCOPUS:34247465655
VL - 61
SP - 288
EP - 292
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 058
ER -