Bio-inspired intelligent sensory processing with nanoscale stochastic magnetic tunnel junctions
نویسندگان
چکیده
Combining and analyzing efficiently the information incoming from a large number of sensors is essential for developing the Internet of Things. However, data incoming from sensors is usually transmitted to external processors for analysis, which is costly in terms of energy. Using nanoscale devices to analyze sensory data would allow building small sensory processing units on the sensor itself. In addition, taking inspiration from biological sensors to build these circuits is a promising route for lowering their energy consumption. Here, we propose an intelligent sensory processor based on nanoscale and stochastic magnetic tunnel junctions emulating populations of sensory neurons. We demonstrate the ability of this system to perform learning, coordinate transformations and sensory fusion through simulations based on an experimentally validated model. Our study shows the feasibility of this intelligent bio-inspired sensory system as well as its robustness to device variability and its low energy consumption, opening the path to experimental realizations.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1610.09394 شماره
صفحات -
تاریخ انتشار 2016