A memristive Hopfield network for associative memory
This protocol presents an approach to realize associative memory in a memristive Hopfield network (MHN). In the MHN, neurons and synapse are constructed with operational amplifiers and memristors, respectively; and control signals are provided by field programming gate array (FPGA). Different patterns can be stored into the MHN by appropriately setting the synaptic weight matrix and threshold matrix. In the process to recall the pre-stored pattern, the states of the neurons in the MHN are asynchronously updated in sequence under the control of FPGA.
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Supplementary document 1 Equations evolved in this protocol
Posted 07 Jul, 2015
A memristive Hopfield network for associative memory
Posted 07 Jul, 2015
This protocol presents an approach to realize associative memory in a memristive Hopfield network (MHN). In the MHN, neurons and synapse are constructed with operational amplifiers and memristors, respectively; and control signals are provided by field programming gate array (FPGA). Different patterns can be stored into the MHN by appropriately setting the synaptic weight matrix and threshold matrix. In the process to recall the pre-stored pattern, the states of the neurons in the MHN are asynchronously updated in sequence under the control of FPGA.
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