Memristive nanofiber neural networks
View Patent ↗Disclosed are various embodiments of memristive networks comprising a number of nodes. Memristive nanofibers are used to form conductive and memristive paths in the networks. Each memristive nanofiber may couple one or more nodes to one or more other nodes. In one case, a memristive network includes a first node, a second node, and a memristive fiber that couples the first node to the neural node. The memristive fiber comprises a conductive core and a memristive shell, where the conductive core forms a conductive path between the first node and the second node and the memristive shell forms a memristive path between the first node and the second node.
1. A memristive network, comprising:
a first neural node;
a second neural node; and
a memristive fiber that couples the first neural node to the second neural node, wherein:
the memristive fiber comprises a conductive core and a memristive shell;
the conductive core forms a conductive path between the first neural node and the second neural node; and
the memristive shell forms a memristive path between the first neural node and the second neural node.
2. The memristive network of claim 1 , wherein the first neural node and the second neural node are among a plurality of neural nodes in a neural node array.
3. The memristive network of claim 2 , wherein each of the neural nodes comprises a respective Leaky Integrate-and-Fire (LIF) Complimentary Metal-Oxide-Semiconductor (CMOS) circuit.
4. The memristive network of claim 2 , wherein:
the memristive fiber is among a plurality of memristive fibers in a memristive fiber network; and
at least a subset of the plurality of memristive fibers in the memristive fiber network are randomly coupled to at least a subset of the plurality of neural nodes in the neural node array.
5. The memristive network of claim 4 , wherein the memristive fiber network comprises at least one recurrent connection.
6. The memristive network of claim 4 , wherein the memristive fiber network comprises at least one inhibitory output for at least one of the plurality of neural nodes.
7. The memristive network of claim 4 , wherein the memristive fiber network comprises a plurality of memristive fiber layers.
8. The memristive network of claim 7 , wherein the memristive fiber network comprises at least one connection that facilitates a transmission of at least one signal between multiple ones of the plurality of memristive fiber layers.
9. The memristive network of claim 1 , wherein the memristive fiber comprises:
a first electrode that couples to the first neural node; and
a second electrode that couples to the second neural node.
10. The memristive network of claim 1 , wherein a Liquid State Machine (LSM) is modeled by at least the first neural node, the second neural node, and the memristive fiber.
11. The memristive network of claim 1 , wherein the memristive fiber is electrospun to facilitate coupling between the first neural node and the second neural node.
12. The memristive network of claim 11 , wherein the memristive shell comprises TiO2 and the conductive core is doped with TiO2-x.
13. The memristive network of claim 1 , wherein the conductive core comprises TiO2-x.
14. The memristive network of claim 1 , wherein the first neural node outputs at least one signal in response to receiving at least one input signal.
15. The memristive network of claim 1 , wherein:
the memristive fiber is one of a plurality of memristive fibers; and
individual ones of the plurality of memristive fibers form randomized connections between the first neural node and the second neural node.
16. A method, comprising:
providing a first neural node;
providing a second neural node;
coupling the first neural node to the second neural node using at least a memristive fiber, wherein:
the memristive fiber comprises a conductive core and a memristive shell;
the conductive core forms a conductive path between the first neural node and the second neural node; and
the memristive shell forms a memristive path between the first neural node and the second neural node.
17. The method of claim 16 , wherein the first neural node and the second neural node are among a plurality of neural nodes in a neural node array.
18. The method of claim 16 , wherein each of the first neural node and the second neural node comprises a respective Leaky Integrate-and-Fire (LIF) Complimentary Metal-Oxide-Semiconductor (CMOS) circuit.
19. The method of claim 18 , wherein the conductive core comprises TiO2-x.
20. The method of claim 16 , further comprising randomly coupling a plurality of memristive fibers to a plurality of neural nodes.