Abstract
In this letter, we fabricate a crossbar array that structurally resembles a column of the neural network, where one neuron is connected with multiple synapses in parallel for on-chip integration. Instead of using complex CMOS neuronal circuit, we integrate a threshold switch at the edge of the crossbar array as a compact oscillation neuron, which converts the weighted sum to an oscillation frequency. When the input vectors are loaded into multiple rows of the array, the oscillation frequency is measured to be proportional to the analog column current. This is the first experimental demonstration of an integrated crossbar array with both synapses and neurons, paving the path to a fully parallel computation and processing using emerging device technologies for the neuromorphic computing.
Original language | English (US) |
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Article number | 8733058 |
Pages (from-to) | 1313-1316 |
Number of pages | 4 |
Journal | IEEE Electron Device Letters |
Volume | 40 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2019 |
Keywords
- Resistive synapse
- crossbar array
- neuromorphic computing
- oscillation neuron
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering