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Grossberg’s Adaptive Resonance Theory

To computational neuroscientist Stephen Grossberg, “all conscious states are resonant states.” The conscious brain is the resonant brain where attentive consciousness regulates actions that interact with learning, recognition, and prediction. Grossberg's idea is that the mind is an activity, not a thing; a verb, not a noun—it's what you do, not what you have or use.

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Stephen Grossberg

Cognitive Scientist

Stephen Grossberg is a cognitive scientist, theoretical and computational psychologist, neuroscientist, mathematician, biomedical engineer, and neuromorphic technologist. He is the Wang Professor of Cognitive and Neural Systems and a professor emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering at Boston University.

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Key Takeaways

  • Core Claim

    Consciousness emerges when the brain enters a resonant state that integrates attention, learning, and prediction.

  • How It Works

    Bottom-up inputs match top-down expectations, creating a feedback loop that produces stable, resonant awareness.

  • Distinguishing Idea

    Only resonant states involving feature-based representations (like color or shape) can become conscious.

  • Implications

    Consciousness enables fast, stable learning in a changing world by marking meaningful, complete representations.

  • Raises the Question

    Can artificial systems achieve resonance deep enough to support real conscious awareness?

Grossberg’s Adaptive Resonance Theory

To computational neuroscientist Stephen Grossberg, “all conscious states are resonant states.” The conscious brain is the resonant brain where attentive consciousness regulates actions that interact with learning, recognition, and prediction (Grossberg, 2019). Grossberg's idea is that the mind is an activity, not a thing; a verb, not a noun—it's what you do, not what you have or use. His theoretical foundation is “Adaptive Resonance Theory” (ART), a cognitive and neural concept of how the brain autonomously learns to consciously attend, learn, categorize, recognize, and predict objects and events in a changing world (Grossberg, 2013). Central to ART's predictive power is its ability to carry out fast, incremental, and stable unsupervised and supervised learning in response to external events.

Mechanisms of Resonance

ART specifies mechanistic links in advanced brains that connect processes regulating conscious attention, seeing, and knowing with those regulating looking and reaching. Consciousness thus enables learning, expectation, attention, resonance, and synchrony during both unsupervised and supervised learning. These mechanistic links arise from basic properties of brain design principles such as complementary computing, hierarchical resolution of uncertainty, and adaptive resonance. These principles, recursively, require conscious states to mark perceptual and cognitive representations that are complete, context sensitive, and stable enough to control effective actions (Grossberg, 2019).

Foundational to Grossberg's way of thinking is the idea that all biological processes, notably our brains, self-organize, and that all cellular systems illustrate variations of a universal developmental code. All these processes are regulated using physically different instantiations of mechanistically similar laws of short-term memory or activation, and long-term memory or learned memory, that are conserved across species, including in our brains (Grossberg, 2021).

Resonance and Consciousness

Resonance in the brain comes about via bottom-up patterns interacting with learned top-down expectations, leading to a persistent resonant state that can also lead to conscious awareness when it includes feature-selective cells that represent qualia. In this way, Grossberg uses ART to explain many mind and brain data about how humans consciously see, hear, feel, and know things (Grossberg, 2023).

At the risk of oversimplification, Grossberg's unified theory of mind has three “laws” of consciousness: (i) All conscious states are resonant states; (ii) only resonant states with feature-based representations can become conscious; (iii) multiple resonant states can resonate together. He believes that the varieties of brain resonances and the conscious experiences that they support make progress towards solving the hard problem of consciousness (Grossberg, 2017).

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References

Grossberg, 2013Stephen Grossberg
Adaptive Resonance Theory: how a brain learns to consciously attend, learn, and recognize a changing world
Neural Network.
Grossberg, 2017Stephen Grossberg
Towards solving the hard problem of consciousness: the varieties of brain resonances and the conscious experiences that they support
Keynote Lecture at the 2017 International Joint Conference on Neural Networks, Anchorage
https://www.youtube.com/watch?v=_hBye6JQCh4
Grossberg, 2019Stephen Grossberg
The resonant brain: how attentive conscious seeing regulates action sequences that interact with attentive cognitive learning, recognition, and prediction
Atten. Percept. Psychophys., 81 , pp. 2237-2264
https://doi.org/10.3758/s13414-019-01789-2
Grossberg, 2021Stephen Grossberg
Conscious Mind, Resonant Brain: How Each Brain Makes a Mind
Oxford University Press. Personal communication
Wikipedia, 2023Wikipedia
Stephen Grossberg
Wikipedia, the free Encyclopedia
https://en.wikipedia.org/wiki/Stephen_Grossberg

References

Wikipedia, 2023
Wikipedia
Stephen Grossberg
2023
Wikipedia, the free Encyclopedia
Google Scholar

Grossberg, 2013
Stephen Grossberg
Adaptive Resonance Theory: how a brain learns to consciously attend, learn, and recognize a changing world
2013
Neural Network.

Grossberg, 2017
Stephen Grossberg
Towards solving the hard problem of consciousness: the varieties of brain resonances and the conscious experiences that they support
2017
Keynote Lecture at the 2017 International Joint Conference on Neural Networks, Anchorage
Google Scholar

Grossberg, 2019
Stephen Grossberg
The resonant brain: how attentive conscious seeing regulates action sequences that interact with attentive cognitive learning, recognition, and prediction
2019
Atten. Percept. Psychophys., 81 , pp. 2237-2264
Google Scholar

Grossberg, 2021
Stephen Grossberg
Conscious Mind, Resonant Brain: How Each Brain Makes a Mind
2021
Oxford University Press. Personal communication