Is prediction nothing more than multi-scale pattern completion of the future?

Falandays, J. Benjamin; Nguyen, Benjamin; Spivey, Michael J.

doi:10.1016/j.brainres.2021.147578

Cited by 40 publications

(31 citation statements)

References 110 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This can be taken as the neural instantiation of the effect of forward probability on reading the last word on the 4-word phrases contemplated in this study, and is consistent with recent accounts that explain prediction in terms of neural pattern completion (Falandays et al, 2021). But how would backward probability influence processing times?…”

Section: Multi-word Processingsupporting

confidence: 88%

Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ‘precompiled’ from memory or compositionally constructed on the fly?

Onnis

Huettig

2021

Brain Research

View full text Add to dashboard Cite

Section: Multi-word Processingsupporting

confidence: 88%

Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ‘precompiled’ from memory or compositionally constructed on the fly?

Onnis

Huettig

2021

Brain Research

View full text Add to dashboard Cite

“…Another point of comparison are classic interactive activation models of lexical processing (McClelland, 1981;Dell, 1985Dell, , 1986McClelland and Elman, 1986). These models share the notion of feedback with the present proposal, and remain useful today for modeling the consequences of feedback for processing (e.g., Martin, 2007;Nozari et al, 2011;Pinet and Nozari, 2018;Nozari, 2020;Falandays et al, 2021;Magnuson et al, 2021). Because many of these models share a particular architecture, these architectural properties have become associated with the term interactive activation.…”

Section: Related Approachesmentioning

confidence: 82%

Morphology in a Parallel, Distributed, Interactive Architecture of Language Production

Kapatsinski

2022

Front. Artif. Intell.

View full text Add to dashboard Cite

How do speakers produce novel words? This programmatic paper synthesizes research in linguistics and neuroscience to argue for a parallel distributed architecture of the language system, in which distributed semantic representations activate competing form chunks in parallel. This process accounts for both the synchronic phenomenon of paradigm uniformity and the diachronic process of paradigm leveling; i.e., the shaping or reshaping of relatively infrequent forms by semantically-related forms of higher frequency. However, it also raises the question of how leveling is avoided. A negative feedback cycle is argued to be responsible. The negative feedback cycle suppresses activated form chunks with unintended semantics or connotations and allows the speaker to decide when to begin speaking. The negative feedback cycle explains away much of the evidence for paradigmatic mappings, allowing more of the grammar to be described with only direct form-meaning mappings/constructions. However, there remains an important residue of cases for which paradigmatic mappings are necessary. I show that these cases can be accounted for by spreading activation down paradigmatic associations as the source of the activation is being inhibited by negative feedback. The negative feedback cycle provides a mechanistic explanation for several phenomena in language change that have so far eluded usage-based accounts. In particular, it provides a mechanism for degrammaticalization and affix liberation (e.g., the detachment of -holic from the context(s) in which it occurs), explaining how chunks can gain productivity despite occurring in a single fixed context. It also provides a novel perspective on paradigm gaps. Directions for future work are outlined.

show abstract

“…While spiking behavior is therefore a kind of "emergency" survival mechanism for each individual, opportunistic neighboring nodes may learn to depend upon these spikes to accumulate resources for their own survival. Falandays, Nguyen, and Spivey (2021) fed this network inputs generated by a probabilistic grammar, with only a subset of the network, designated as "sensory nodes," receiving external stimulation from each "word" in the grammar. Thus, in order to keep activity near their target level, non-sensory nodes need to recruit input from externally-stimulated neighbors.…”

Section: Brains As Intelligent Collectivesmentioning

confidence: 99%

All Intelligence is Collective Intelligence

Falandays¹,

Kaaronen²,

Moser³

et al. 2022

Preprint

View full text Add to dashboard Cite

Collective intelligence, broadly conceived, refers to the adaptive behavior achieved by groups through the interactions of their members, often involving phenomena such as consensus building, cooperation, and competition. The standard view of collective intelligence is that it is a distinct phenomenon from supposed individual intelligence. In this position piece, we argue that a more parsimonious stance is to consider all intelligent adaptive behavior as being driven by similar abstract principles of collective dynamics. To illustrate this point, we highlight how similar principles are at work in the intelligent behavior of groups of non-human animals, multicellular organisms, brains, small groups of humans, cultures, and even evolution itself. If intelligent behavior in all of these systems is best understood as the emergent result of collective interactions, we ask what is left to be called “individual intelligence”? We believe that viewing all intelligence as collective intelligence offers greater explanatory power and generality, and may promote fruitful cross-disciplinary exchange in the study of intelligent adaptive behavior.

show abstract

Is prediction nothing more than multi-scale pattern completion of the future?

Cited by 40 publications

References 110 publications

Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ‘precompiled’ from memory or compositionally constructed on the fly?

Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ‘precompiled’ from memory or compositionally constructed on the fly?

Morphology in a Parallel, Distributed, Interactive Architecture of Language Production

All Intelligence is Collective Intelligence

Contact Info

Product

Resources

About