Improving intergroup relations with meta-perception correction interventions
Trends Cogn Sci. 2024 Feb 19:S1364-6613(24)00008-1. doi: 10.1016/j.tics.2024.01.008. Online ahead of print.ABSTRACTWe explore meta-perceptions (i.e., what we think others think about reality), their impact on intergroup conflict, and the interventions correcting these often-erroneous perceptions. We introduce a two (direct or indirect) by two (with or without framing) framework classifying these interventions, and we critically assess the benefits and constraints of these approaches.PMID:38378379 | DOI:10.1016/j.tics.2024.01.008 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - February 20, 2024 Category: Neuroscience Authors: Samantha L Moore-Berg Boaz Hameiri Source Type: research
Rationality, preferences, and emotions with biological constraints: it all starts from our senses
Trends Cogn Sci. 2024 Feb 9:S1364-6613(24)00003-2. doi: 10.1016/j.tics.2024.01.003. Online ahead of print.ABSTRACTIs the role of our sensory systems to represent the physical world as accurately as possible? If so, are our preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' sensory experiences? We show why the answer to both questions is 'no'. Brain function is metabolically costly, and the brain loses some fraction of the information that it encodes and transmits. Therefore, if brains maximize objective functions that increase the fitness of their species, they should adapt to the object...
Source: Trends Cogn Sci - February 10, 2024 Category: Neuroscience Authors: Rafael Polan ía Denis Burdakov Todd A Hare Source Type: research
Rationality, preferences, and emotions with biological constraints: it all starts from our senses
Trends Cogn Sci. 2024 Feb 9:S1364-6613(24)00003-2. doi: 10.1016/j.tics.2024.01.003. Online ahead of print.ABSTRACTIs the role of our sensory systems to represent the physical world as accurately as possible? If so, are our preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' sensory experiences? We show why the answer to both questions is 'no'. Brain function is metabolically costly, and the brain loses some fraction of the information that it encodes and transmits. Therefore, if brains maximize objective functions that increase the fitness of their species, they should adapt to the object...
Source: Trends Cogn Sci - February 10, 2024 Category: Neuroscience Authors: Rafael Polan ía Denis Burdakov Todd A Hare Source Type: research
Rationality, preferences, and emotions with biological constraints: it all starts from our senses
Trends Cogn Sci. 2024 Feb 9:S1364-6613(24)00003-2. doi: 10.1016/j.tics.2024.01.003. Online ahead of print.ABSTRACTIs the role of our sensory systems to represent the physical world as accurately as possible? If so, are our preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' sensory experiences? We show why the answer to both questions is 'no'. Brain function is metabolically costly, and the brain loses some fraction of the information that it encodes and transmits. Therefore, if brains maximize objective functions that increase the fitness of their species, they should adapt to the object...
Source: Trends Cogn Sci - February 10, 2024 Category: Neuroscience Authors: Rafael Polan ía Denis Burdakov Todd A Hare Source Type: research
Rationality, preferences, and emotions with biological constraints: it all starts from our senses
Trends Cogn Sci. 2024 Feb 9:S1364-6613(24)00003-2. doi: 10.1016/j.tics.2024.01.003. Online ahead of print.ABSTRACTIs the role of our sensory systems to represent the physical world as accurately as possible? If so, are our preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' sensory experiences? We show why the answer to both questions is 'no'. Brain function is metabolically costly, and the brain loses some fraction of the information that it encodes and transmits. Therefore, if brains maximize objective functions that increase the fitness of their species, they should adapt to the object...
Source: Trends Cogn Sci - February 10, 2024 Category: Neuroscience Authors: Rafael Polan ía Denis Burdakov Todd A Hare Source Type: research
Rationality, preferences, and emotions with biological constraints: it all starts from our senses
Trends Cogn Sci. 2024 Feb 9:S1364-6613(24)00003-2. doi: 10.1016/j.tics.2024.01.003. Online ahead of print.ABSTRACTIs the role of our sensory systems to represent the physical world as accurately as possible? If so, are our preferences and emotions, often deemed irrational, decoupled from these 'ground-truth' sensory experiences? We show why the answer to both questions is 'no'. Brain function is metabolically costly, and the brain loses some fraction of the information that it encodes and transmits. Therefore, if brains maximize objective functions that increase the fitness of their species, they should adapt to the object...
Source: Trends Cogn Sci - February 10, 2024 Category: Neuroscience Authors: Rafael Polan ía Denis Burdakov Todd A Hare Source Type: research
Simplifying social learning
Trends Cogn Sci. 2024 Feb 7:S1364-6613(24)00004-4. doi: 10.1016/j.tics.2024.01.004. Online ahead of print.ABSTRACTSocial learning is complex, but people often seem to navigate social environments with ease. This ability creates a puzzle for traditional accounts of reinforcement learning (RL) that assume people negotiate a tradeoff between easy-but-simple behavior (model-free learning) and complex-but-difficult behavior (e.g., model-based learning). We offer a theoretical framework for resolving this puzzle: although social environments are complex, people have social expertise that helps them behave flexibly with low cogni...
Source: Trends Cogn Sci - February 8, 2024 Category: Neuroscience Authors: Leor M Hackel David A Kalkstein Peter Mende-Siedlecki Source Type: research
The neurodevelopmental origins of seeing social interactions
Trends Cogn Sci. 2024 Jan 9:S1364-6613(23)00307-8. doi: 10.1016/j.tics.2023.12.007. Online ahead of print.NO ABSTRACTPMID:38296745 | DOI:10.1016/j.tics.2023.12.007 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 31, 2024 Category: Neuroscience Authors: Emalie McMahon Leyla Isik Source Type: research
Neurodevelopmental and evolutionary origins of processing social interactions
Trends Cogn Sci. 2023 Nov 30:S1364-6613(23)00285-1. doi: 10.1016/j.tics.2023.11.006. Online ahead of print.NO ABSTRACTPMID:38296746 | DOI:10.1016/j.tics.2023.11.006 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 31, 2024 Category: Neuroscience Authors: Tobias Grossmann Source Type: research
Participant diversity is necessary to advance brain aging research
Trends Cogn Sci. 2024 Feb;28(2):92-96. doi: 10.1016/j.tics.2023.12.004. Epub 2024 Jan 27.ABSTRACTAn absence of population-representative participant samples has limited research in healthy brain aging. We highlight examples of what can be gained by enrolling more diverse participant cohorts, and propose recommendations for specific reforms, both in terms of how researchers accomplish this goal and how institutions support and benchmark these efforts.PMID:38280836 | DOI:10.1016/j.tics.2023.12.004 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 27, 2024 Category: Neuroscience Authors: Gagan S Wig Sarah Klausner Micaela Y Chan Cameron Sullins Anirudh Rayanki Maya Seale Source Type: research
Representational structures as a unifying framework for attention
Trends Cogn Sci. 2024 Jan 27:S1364-6613(24)00002-0. doi: 10.1016/j.tics.2024.01.002. Online ahead of print.ABSTRACTOur visual system consciously processes only a subset of the incoming information. Selective attention allows us to prioritize relevant inputs, and can be allocated to features, locations, and objects. Recent advances in feature-based attention suggest that several selection principles are shared across these domains and that many differences between the effects of attention on perceptual processing can be explained by differences in the underlying representational structures. Moving forward, it can thus be us...
Source: Trends Cogn Sci - January 27, 2024 Category: Neuroscience Authors: Angus F Chapman Viola S St örmer Source Type: research
A synergetic turn in cognitive neuroscience of brain diseases
Trends Cogn Sci. 2024 Jan 20:S1364-6613(23)00306-6. doi: 10.1016/j.tics.2023.12.006. Online ahead of print.ABSTRACTDespite significant improvements in our understanding of brain diseases, many barriers remain. Cognitive neuroscience faces four major challenges: complex structure-function associations; disease phenotype heterogeneity; the lack of transdiagnostic models; and oversimplified cognitive approaches restricted to the laboratory. Here, we propose a synergetics framework that can help to perform the necessary dimensionality reduction of complex interactions between the brain, body, and environment. The key solutions...
Source: Trends Cogn Sci - January 21, 2024 Category: Neuroscience Authors: Agustin Ibanez Morten L Kringelbach Gustavo Deco Source Type: research
Studying large language models as compression algorithms for human culture
Trends Cogn Sci. 2024 Jan 19:S1364-6613(24)00001-9. doi: 10.1016/j.tics.2024.01.001. Online ahead of print.ABSTRACTLarge language models (LLMs) extract and reproduce the statistical regularities in their training data. Researchers can use these models to study the conceptual relationships encoded in this training data (i.e., the open internet), providing a remarkable opportunity to understand the cultural distinctions embedded within much of recorded human communication.PMID:38245431 | DOI:10.1016/j.tics.2024.01.001 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 20, 2024 Category: Neuroscience Authors: Nicholas Buttrick Source Type: research
Information decomposition and the informational architecture of the brain
Trends Cogn Sci. 2024 Jan 9:S1364-6613(23)00284-X. doi: 10.1016/j.tics.2023.11.005. Online ahead of print.ABSTRACTTo explain how the brain orchestrates information-processing for cognition, we must understand information itself. Importantly, information is not a monolithic entity. Information decomposition techniques provide a way to split information into its constituent elements: unique, redundant, and synergistic information. We review how disentangling synergistic and redundant interactions is redefining our understanding of integrative brain function and its neural organisation. To explain how the brain navigates the ...
Source: Trends Cogn Sci - January 10, 2024 Category: Neuroscience Authors: Andrea I Luppi Fernando E Rosas Pedro A M Mediano David K Menon Emmanuel A Stamatakis Source Type: research
Political reinforcement learners
Trends Cogn Sci. 2024 Jan 8:S1364-6613(23)00287-5. doi: 10.1016/j.tics.2023.12.001. Online ahead of print.ABSTRACTPolitics can seem home to the most calculating and yet least rational elements of humanity. How might we systematically characterize this spectrum of political cognition? Here, we propose reinforcement learning (RL) as a unified framework to dissect the political mind. RL describes how agents algorithmically navigate complex and uncertain domains like politics. Through this computational lens, we outline three routes to political differences, stemming from variability in agents' conceptions of a problem, the co...
Source: Trends Cogn Sci - January 9, 2024 Category: Neuroscience Authors: Lion Schulz Rahul Bhui Source Type: research
