An open repository of community-contributed protocols sponsored by Nature Research.
Learn more about Protocol Exchange
Method Article
Y. Liu
Memristor group
Corresponding Author
T. P. Chen
Memristor group
Corresponding Author
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
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.
Keywords
Associative memory, Hopfield network, memristor
Figure 1
Figure 2
The authors declare no competing financial interests.
This is a list of supplementary files associated with this preprint. Click to download.
- supplement0.pdf
Supplementary document 1 Equations evolved in this protocol
Loading...
Version History
CURRENT STATUS: Posted
Version 1
Posted 07 Jul, 2015
No community comments so far
Metrics
Comments: 0
HTML Views: ...
Associated Publications
Associative memory realized by a reconfigurable memristive Hopfield neural network
by S.G. Hu, Y. Liu, Z Liu, +6
Nature Communications (31 May, 2015)
An open repository of community-contributed protocols sponsored by Nature Research.
Learn more about Protocol Exchange
Method Article
Y. Liu
Memristor group
Corresponding Author
T. P. Chen
Memristor group
Corresponding Author
Version History
CURRENT STATUS: Posted
Version 1
Posted 07 Jul, 2015
No community comments so far
Metrics
Comments: 0
HTML Views: ...
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
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.
Figure 1
Figure 2
The authors declare no competing financial interests.
This is a list of supplementary files associated with this preprint. Click to download.
- supplement0.pdf
Supplementary document 1 Equations evolved in this protocol
Loading...
Associated Publications
Associative memory realized by a reconfigurable memristive Hopfield neural network
by S.G. Hu, Y. Liu, Z Liu, +6
Nature Communications (31 May, 2015)