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Adaptive neural network utilizing nanotechnology-based components

Methods and systems for modifying at least one synapse of a physicallelectromechanical neural network. A physical/electromechanical neural network implemented as an adaptive neural network can be provided, which includes…

Granted 2012ActiveExpires 2028Owned by KnowmtechInvented by Alex Nugent

Original patent title: “Adaptive neural network utilizing nanotechnology-based components

Plain-English explanation by SahiLast reviewed · June 15, 2026

Methods and systems for modifying at least one synapse of a physicallelectromechanical neural network. A physical/electromechanical neural network implemented as an adaptive neural network can be provided, which includes…. Granted to Knowmtech in 2012 with 11 claims and 12 forward citations, and it is expected to expire in 2028.

Key facts

Patent numberUS 8156057
StatusActive
FieldOther Fields
AssigneeKnowmtech
InventorAlex Nugent
Filed2008
Granted2012
Expires2028
Claims11
Times cited12
LitigationNone on record
Value · $38K$123KMinimal

Coverage

What does this patent actually cover?

Methods and systems for modifying at least one synapse of a physicallelectromechanical neural network. A physical/electromechanical neural network implemented as an adaptive neural network can be provided, which includes one or more neurons and one or more synapses thereof, wherein the neurons and synapses are formed from a plurality of nanoparticles disposed within a dielectric solution in association with one or more pre-synaptic electrodes and one or more post-synaptic electrodes and an applied electric field. At least one pulse can be generated from one or more of the neurons to one or more of the pre-synaptic electrodes of a succeeding neuron and one or more post-synaptic electrodes of one or more of the neurons of the physical/electromechanical neural network, thereby strengthening at least one nanoparticle of a plurality of nanoparticles disposed within the dielectric solution and at least one synapse thereof.

The gap

What does this patent NOT cover?

    These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

    The Patent Drawing

    Representative patent drawing for Adaptive neural network utilizing nanotechnology-based components (US 8156057)
    Representative figure · US 8156057All figures on Google Patents →
    Adaptive neural network utiliz…(Primary claim)

    Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

    Patent Abstract

    Patent abstract

    Methods and systems for modifying at least one synapse of a physicallelectromechanical neural network. A physical/electromechanical neural network implemented as an adaptive neural network can be provided, which includes one or more neurons and one or more synapses thereof, wherein the neurons and synapses are formed from a plurality of nanoparticles disposed within a dielectric solution in association with one or more pre-synaptic electrodes and one or more post-synaptic electrodes and an applied electric field. At least one pulse can be generated from one or more of the neurons to one or more of the pre-synaptic electrodes of a succeeding neuron and one or more post-synaptic electrodes of one or more of the neurons of the physical/electromechanical neural network, thereby strengthening at least one nanoparticle of a plurality of nanoparticles disposed within the dielectric solution and at least one synapse thereof.

    Patent timeline

    Filing

    Application submitted to the patent office

    Publication

    Application published, typically 18 months after filing

    Grant

    Patent officially issued

    Expiration

    Patent enters public domain

    PatentBrief Score

    Impact Score

    Early stage

    Citation count

    22/40

    Moderately cited

    Claim breadth

    7/20

    Moderate scope

    Recency

    5/20

    Granted 10–20 years ago

    Assignee scale

    0/20

    Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

    PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

    Heuristic Value Estimate

    What this patent might be worth

    Minimal

    $38K$123K

    Midpoint $77K · 1.8 yr remaining · industry ×1.6

    Adjust inputs →

    Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

    The original legal language

    Original claims

    11 claims as filed with the patent office.

    Concepts involved

    ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

    Citations

    Patent lineage

    Cites earlier patents

    88

    earlier patents this invention cites as foundations

    View prior art →

    Cited by later patents

    12

    later patents that build on this invention

    View patents →

    Cite this patent

    Nugent, A. (2012). Adaptive neural network utilizing nanotechnology-based components (U.S. Patent No. 8,156,057). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/8156057/adaptive-neural-network-utilizing-nanotechnology-based-components

    Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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    Common Questions

    Frequently Asked Questions

    Who owns patent US 8156057?

    Knowmtech owns this patent, granted in 2012.

    When does this patent expire?

    This patent is expected to expire on April 10, 2028, when the invention enters the public domain.

    What is patent US 8156057 cited by?

    This patent has been cited by 12 later patents that build on its ideas.

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