The Border Between Seeing and Thinking

Oxford University Press eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 16, 2023

Abstract This book argues that there is a joint in nature between seeing and thinking, perception, cognition. Perception constitutively iconic, nonconceptual, nonpropositional, whereas cognition does not have these properties constitutively. The appeal to “intuitions,” as common philosophy, but empirical evidence, including experiments neuroscience psychology. affects i.e., perception cognitively penetrable, this impugn the nature. A key part of argument we perceive only low-level like colors, shapes, textures also high-level such faces causation. Along way, explains difference perceptual memory, differences format content, whether probabilistic despite our lack awareness properties. for categories are concepts, need be singular, attribution discrimination equally fundamental, basic features mind known “core cognition” third category chapter on consciousness leverages results argue against some most widely accepted theories consciousness. Although one about consciousness, much rest repurposes work isolate scientific basis perception.

Language: Английский

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Symbols and mental programs: a hypothesis about human singularity

Trends in Cognitive Sciences, Journal Year: 2022, Volume and Issue: 26(9), P. 751 - 766

Published: Aug. 3, 2022

Language: Английский

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A language of thought for the mental representation of geometric shapes

Cognitive Psychology, Journal Year: 2022, Volume and Issue: 139, P. 101527 - 101527

Published: Nov. 17, 2022

Language: Английский

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One model for the learning of language

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(5)

Published: Jan. 24, 2022

A major goal of linguistics and cognitive science is to understand what class learning systems can acquire natural language. Until recently, the computational requirements language have been used argue that impossible without a highly constrained hypothesis space. Here, we describe system maximally unconstrained, operating over space all computations, able many key structures present in from positive evidence alone. We demonstrate this by providing same model with data 74 distinct formal languages which argued capture features language, studied experimental work, or come an interesting complexity class. The successfully induce latent generating observed strings small amounts almost cases, including for regular (e.g.,

Language: Английский

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Spontaneously emerging internal models of visual sequences combine abstract and event-specific information in the prefrontal cortex

Cell Reports, Journal Year: 2024, Volume and Issue: 43(3), P. 113952 - 113952

Published: March 1, 2024

When exposed to sensory sequences, do macaque monkeys spontaneously form abstract internal models that generalize novel experiences? Here, we show neuronal populations in ventrolateral prefrontal cortex jointly encode visual sequences by separate codes for the specific pictures presented and their sequential structure. We recorded neurons while passively viewed sequence mismatches local-global paradigm. Even without any overt task or response requirements, representations of structure, serial order, image identity within distinct but superimposed subspaces. Representations structure rapidly update following single exposure a mismatch sequence, represent different complexity. Finally, those across same repetition comprising images. These results suggest rich reflecting both content-specific information.

Language: Английский

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Uniquely human intelligence arose from expanded information capacity

Nature Reviews Psychology, Journal Year: 2024, Volume and Issue: 3(4), P. 275 - 293

Published: April 2, 2024

Language: Английский

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Mental compression of spatial sequences in human working memory using numerical and geometrical primitives

Neuron, Journal Year: 2021, Volume and Issue: 109(16), P. 2627 - 2639.e4

Published: July 5, 2021

Language: Английский

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Rational arbitration between statistics and rules in human sequence processing

Nature Human Behaviour, Journal Year: 2022, Volume and Issue: 6(8), P. 1087 - 1103

Published: May 2, 2022

Language: Английский

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Natural language syntax complies with the free-energy principle

Synthese, Journal Year: 2024, Volume and Issue: 203(5)

Published: May 3, 2024

Abstract Natural language syntax yields an unbounded array of hierarchically structured expressions. We claim that these are used in the service active inference accord with free-energy principle (FEP). While conceptual advances alongside modelling and simulation work have attempted to connect speech segmentation linguistic communication FEP, we extend this program underlying computations responsible for generating syntactic objects. argue recently proposed principles economy design—such as “minimal search” criteria from theoretical syntax—adhere FEP. This affords a greater degree explanatory power FEP—with respect higher functions—and offers linguistics grounding first computability. mostly focus on building new principled relations between also show through sample preliminary examples how both tree-geometric depth Kolmogorov complexity estimate (recruiting Lempel–Ziv compression algorithm) can be accurately predict legal operations workspaces, directly line formulations variational free energy minimization. is motivate general design term Turing–Chomsky Compression (TCC). use TCC align concerns linguists normative account self-organization furnished by marshalling evidence psycholinguistics ground core efficient computation within inference.

Language: Английский

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Humans parsimoniously represent auditory sequences by pruning and completing the underlying network structure

eLife, Journal Year: 2023, Volume and Issue: 12

Published: May 2, 2023

Successive auditory inputs are rarely independent, their relationships ranging from local transitions between elements to hierarchical and nested representations. In many situations, humans retrieve these dependencies even limited datasets. However, this learning at multiple scale levels is poorly understood. Here, we used the formalism proposed by network science study representation of higher-order structures interaction in sequences. We show that human adults exhibited biases perception elements, which made them sensitive high-order such as communities. This behavior consistent with creation a parsimonious simplified model evidence they receive, achieved pruning completing elements. observation suggests brain does not rely on exact memories but world. Moreover, bias can be analytically modeled memory/efficiency trade-off. correctly accounts for previous findings, including transition probabilities well structures, unifying sequence across scales. finally propose putative implementations bias.

Language: Английский

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