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A power and area efficient CMOS stochastic neuron for resistive computing device-based neural networks is presented. The stochastic neuron performs both quantization and activation function simultaneously by using a single dynamic comparator and allows power-hungry analog to digital and digital to analog converters to be removed at the cost of the increased computation time. A network learning method utilizing a noisy sigmoid function is also presented to minimize the computation time with little accuracy degradation. A prototype neuron chip fabricated in 0.18μm CMOS process successfully demonstrates the neuron's performance and the learning method is verified through network simulations.
This article was published in the following journal.
Name: IEEE transactions on biomedical circuits and systems
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A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Cell adhesion molecules that mediate neuron-neuron adhesion and neuron-astrocyte adhesion. They are expressed on neurons and Schwann cells, but not astrocytes and are involved in neuronal migration, neurite fasciculation, and outgrowth. Ng-CAM is immunologically and structurally distinct from NCAM.
Communications networks connecting various hardware devices together within or between buildings by means of a continuous cable or voice data telephone system.
An early embryonic developmental process of CHORDATES that is characterized by morphogenic movements of ECTODERM resulting in the formation of the NEURAL PLATE; the NEURAL CREST; and the NEURAL TUBE. Improper closure of the NEURAL GROOVE results in congenital NEURAL TUBE DEFECTS.
The synapse between a neuron (presynaptic) and an effector cell other than another neuron (postsynaptic). Neuroeffector junctions include synapses onto muscles and onto secretory cells.
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