Conceptors: an easy introduction
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Abstract (arXiv)
Conceptors provide an elementary neuro-computational mechanism which sheds a fresh and unifying light on a diversity of cognitive phenomena. A number of demanding learning and processing tasks can be solved with unprecedented ease, robustness and accuracy. Some of these tasks were impossible to solve before. This entirely informal paper introduces the basic principles of conceptors and highlights some of their usages.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jun 2014.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2024Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineeringcited by 39
- 2023Integrating Symbolic Reasoning into Neural Generative Models for Design Generationcited by 1
- 2021Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuverscited by 0
- 2026When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Modelscited by 0
- 2026When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Models12 Oct 2026
- 2024Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering9 Oct 2024
- 2023Integrating Symbolic Reasoning into Neural Generative Models for Design Generation13 Oct 2023
- 2021Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers10 Feb 2021