Mixed-signal neuron-synapse implementation for large-scale neural network
نویسنده
چکیده
This paper describes a new mixed-signal VLSI implementation of neural networks for low power and asynchronous operation. The linearised transconductance produces the synaptic function of multiplication, weight programming, and summation of synaptic currents for the neuron. The synapse circuit is designed with 8 transistors, by compensating the non-linearity of MOSFET resistance in the triode region.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 69 شماره
صفحات -
تاریخ انتشار 2006