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Waterloo, Canada

Applied Brain Research Inc.

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USPTO Granted Patents = 16

EPO Patents = 3

Trademarks = 1

Forward Citations = 31

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17 inventors (with patents filed for the assignee):

Christopher David Eliasmith (13 out of 13 patents)

Aaron Russell Voelker (7 out of 7 patents)

Terrence Charles Stewart (4 out of 4 patents)

4. Travis Crncich-DeWolf (3 out of 3 patents)

5. Trevor Bekolay (2 out of 2 patents)

6. Feng-Xuan Choo (2 out of 2 patents)

7. Trevor William Bekolay (2 out of 2 patents)

8. Yichuan Tang (2 out of 9 patents)

9. Daniel Halden Rasmussen (2 out of 2 patents)

10. Peter Blouw (2 out of 2 patents)

11. Eric Gordon Hunsberger (1 out of 1 patent)

12. Jean-Jacques Emile Slotine (1 out of 7 patents)

13. Benjamin Jacob Morcos (1 out of 1 patent)

14. Nachiket Ganesh Kapre (1 out of 1 patent)

15. Narsimha Chilkuri (1 out of 1 patent)

16 patents: Sort by Forward Citations

1. 12705457 - Methods and systems for parallelizing computations in recurrently connected artificial neural networks (2026-08-11),

2. 12688397 - Partitionable digital hardware system for implementing recurrent neural networks (2026-07-21),

3. 12481888 - Methods and systems for simulating dynamical systems via synaptic descent in artificial neural networks (2025-11-25),

4. 12248871 - Methods and systems for training multi-bit spiking neural networks for efficient implementation on digital hardware (2025-03-11),

5. 12014263 - Methods and systems for encoding and processing vector-symbolic representations of continuous spaces (2024-06-18),

6. 11741098 - Methods and systems for storing and querying database entries with neuromorphic computers (2023-08-29),

7. 11537856 - Digital circuits for evaluating neural engineering framework style neural networks (2022-12-27),

8. 11238345 - Legendre memory units in recurrent neural networks (2022-02-01),

9. 11238337 - Methods and systems for implementing dynamic neural networks (2022-02-01),

10. 11126913 - Methods and systems for implementing deep spiking neural networks (2021-09-21),

11. 10984309 - Methods and systems for continuous state estimation and signal classification with dynamic movement primitives (2021-04-20),

12. 10963785 - Methods and systems for artificial cognition (2021-03-30),

13. 10860630 - Methods and systems for generating and traversing discourse graphs using artificial neural networks (2020-12-08),

14. 10481565 - Methods and systems for nonlinear adaptive control and filtering (2019-11-19),

15. 10026395 - Methods and systems for extracting auditory features with neural networks (2018-07-17),

Company Overview

Applied Brain Research Inc. is a technology company based in Waterloo, Canada, specializing in advanced artificial intelligence and machine learning solutions. The organization focuses on developing innovative algorithms and software that enhance cognitive computing capabilities, particularly in the fields of robotics and automation. By leveraging cutting-edge research, Applied Brain Research aims to create intelligent systems that can learn and adapt, driving advancements across various industries and applications.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

16 Patents

#31 in Waterloo

#933 in Canada

#37,887 in the World

Waterloo, Canada

Applied Brain Research Inc.

Forward Citations = 31

17 inventors:

Christopher David Eliasmith (13 out of 13 patents)

Aaron Russell Voelker (7 out of 7 patents)

Terrence Charles Stewart (4 out of 4 patents)

4. Travis Crncich-DeWolf (3 out of 3 patents)

5. Trevor Bekolay (2 out of 2 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Applied Brain Research Inc.. Retrieved from https://idiyas.com/company/applied-brain-research

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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