# US 2014/0156576 A1 · Memristive neural processor utilizing anti-hebbian and hebbian technology

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- Number: US 2014/0156576 A1
- Document ID: US20140156576A1
- Status: Published application
- Kind: A1
- Application number: 13/908,410
- Filed: 2013-06-03
- Published: 2014-06-05
- Earliest claimed: 2002-03-12
- Assignees: Knowm Tech, LLC
- Applicants: Knowm Tech, LLC
- Inventors: Alex Nugent
- Web page: https://patentgrep.com/patent/US20140156576A1

## CPC

- G06N 3/049: Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

An AHaH (Anti-Hebbian and Hebbian) apparatus for use in electronic circuits. Such an AHaH apparatus can include one or more meta-stable switches, and one or more differential pairs of output electrodes, wherein each electrode among each differential pair of output electrodes can include one or more input lines coupled thereto via one or more of the meta-stable switch.

## Claims

### Claim 1

An AHaH apparatus for use in electronic circuits, said apparatus comprising:
at least one meta-stable switch; and
a differential pair of output electrodes, wherein each electrode among said differential pair of output electrodes comprises a plurality of input lines coupled thereto via said at least one meta-stable switch.

### Claim 2 (depends on 1)

The apparatus of claim 1 wherein said at least one meta-stable switch comprises a two-state element that switches probabilistically between two states as a function of applied bias and temperature.

### Claim 3 (depends on 1)

The apparatus of claim 1 further comprising at least one AHaH node comprising said at least one metal-stable switch and said differential pair of output electrodes.

### Claim 4 (depends on 3)

The apparatus of claim 3 further comprising an AHaH classifier that includes said at least one AHaH node.

### Claim 5 (depends on 3)

The apparatus of claim 3 further comprising an AHaH clusterer that includes said at least one AHaH node.

### Claim 6 (depends on 2)

The apparatus of claim 2 further comprising at least one AHaH node comprising said at least one metal-stable switch and said differential pair of output electrodes.

### Claim 7 (depends on 6)

The apparatus of claim 6 further comprising an AHaH classifier that includes said at least one AHaH node.

### Claim 8 (depends on 6)

The apparatus of claim 6 further comprising an AHaH clusterer that includes said at least one AHaH node.

### Claim 9 (depends on 1)

The apparatus of claim 1 further comprising a synaptic component comprising said at least one meta-stable switch and said differential pair of output electrodes.

### Claim 10

A memristor use in electronic circuits, said memristor comprising:
at least one AHAH node comprising at least one meta-stable switch and a differential pair of output electrodes;
a plurality of input lines, wherein each electrode among said differential pair of output electrodes comprises said plurality of input lines coupled thereto via said at least one meta-stable switch.

### Claim 11 (depends on 10)

The memristor of claim 10 wherein said at least one meta-stable switch comprises a two-state element that switches probabilistically between two states as a function of applied bias and temperature.

### Claim 12 (depends on 10)

The memristor of claim 10 further comprising an AHaH classifier that includes said at least one AHaH node.

### Claim 13 (depends on 10)

The memristor of claim 10 further comprising an AHaH clusterer that includes said at least one AHaH node.

### Claim 14 (depends on 11)

The memristor of claim 11 further comprising an AHaH classifier that includes said at least one AHaH node.

### Claim 15 (depends on 11)

The memristor of claim 11 further comprising an AHaH clusterer that includes said at least one AHaH node.

### Claim 16 (depends on 10)

The memristor of claim 10 further comprising a synaptic component comprising said at least one meta-stable switch and said differential pair of output electrodes.

### Claim 17

A memristive neural processor, said integrated circuit step comprising:
a substrate;
at least one meta-stable switch configured upon said substrate; and
a differential pair of output electrodes configured upon said substrate, wherein each electrode among said differential pair of output electrodes comprises a plurality of input lines coupled thereto via said at least one meta-stable switch.

### Claim 18 (depends on 17)

The memristive neural processor of claim 17 wherein said at least one meta-stable switch comprises a two-state element that switches probabilistically between two states as a function of applied bias and temperature.

### Claim 19 (depends on 17)

The memristive neural process of claim 17 further comprising at least one AHaH node comprising said at least one metal-stable switch and said differential pair of output electrodes.

### Claim 20 (depends on 18)

The memristive neural processor of claim 18 further comprising at least one AHaH node comprising said at least one metal-stable switch and said differential pair of output electrodes.