A cognitive-computational account of mood swings in adolescence
Trends Cogn Sci. 2024 Mar 18:S1364-6613(24)00033-0. doi: 10.1016/j.tics.2024.02.006. Online ahead of print.ABSTRACTTeenagers have a reputation for being fickle, in both their choices and their moods. This variability may help adolescents as they begin to independently navigate novel environments. Recently, however, adolescent moodiness has also been linked to psychopathology. Here, we consider adolescents' mood swings from a novel computational perspective, grounded in reinforcement learning (RL). This model proposes that mood is determined by surprises about outcomes in the environment, and how much we learn from these su...
Source: Trends Cogn Sci - March 19, 2024 Category: Neuroscience Authors: Kl ára Gregorová Eran Eldar Lorenz Deserno Andrea M F Reiter Source Type: research
Tests for consciousness in humans and beyond
Trends Cogn Sci. 2024 Mar 13:S1364-6613(24)00010-X. doi: 10.1016/j.tics.2024.01.010. Online ahead of print.ABSTRACTWhich systems/organisms are conscious? New tests for consciousness ('C-tests') are urgently needed. There is persisting uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent and rapid developments in artificial intelligence (AI), neural organoids, and xenobot technology. Although a number of C-tests have been proposed in recent years, most are of limited us...
Source: Trends Cogn Sci - March 14, 2024 Category: Neuroscience Authors: Tim Bayne Anil K Seth Marcello Massimini Joshua Shepherd Axel Cleeremans Stephen M Fleming Rafael Malach Jason B Mattingley David K Menon Adrian M Owen Megan A K Peters Adeel Razi Liad Mudrik Source Type: research
Tests for consciousness in humans and beyond
Trends Cogn Sci. 2024 Mar 13:S1364-6613(24)00010-X. doi: 10.1016/j.tics.2024.01.010. Online ahead of print.ABSTRACTWhich systems/organisms are conscious? New tests for consciousness ('C-tests') are urgently needed. There is persisting uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent and rapid developments in artificial intelligence (AI), neural organoids, and xenobot technology. Although a number of C-tests have been proposed in recent years, most are of limited us...
Source: Trends Cogn Sci - March 14, 2024 Category: Neuroscience Authors: Tim Bayne Anil K Seth Marcello Massimini Joshua Shepherd Axel Cleeremans Stephen M Fleming Rafael Malach Jason B Mattingley David K Menon Adrian M Owen Megan A K Peters Adeel Razi Liad Mudrik Source Type: research
Tests for consciousness in humans and beyond
Trends Cogn Sci. 2024 Mar 13:S1364-6613(24)00010-X. doi: 10.1016/j.tics.2024.01.010. Online ahead of print.ABSTRACTWhich systems/organisms are conscious? New tests for consciousness ('C-tests') are urgently needed. There is persisting uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent and rapid developments in artificial intelligence (AI), neural organoids, and xenobot technology. Although a number of C-tests have been proposed in recent years, most are of limited us...
Source: Trends Cogn Sci - March 14, 2024 Category: Neuroscience Authors: Tim Bayne Anil K Seth Marcello Massimini Joshua Shepherd Axel Cleeremans Stephen M Fleming Rafael Malach Jason B Mattingley David K Menon Adrian M Owen Megan A K Peters Adeel Razi Liad Mudrik Source Type: research
Tests for consciousness in humans and beyond
Trends Cogn Sci. 2024 Mar 13:S1364-6613(24)00010-X. doi: 10.1016/j.tics.2024.01.010. Online ahead of print.ABSTRACTWhich systems/organisms are conscious? New tests for consciousness ('C-tests') are urgently needed. There is persisting uncertainty about when consciousness arises in human development, when it is lost due to neurological disorders and brain injury, and how it is distributed in nonhuman species. This need is amplified by recent and rapid developments in artificial intelligence (AI), neural organoids, and xenobot technology. Although a number of C-tests have been proposed in recent years, most are of limited us...
Source: Trends Cogn Sci - March 14, 2024 Category: Neuroscience Authors: Tim Bayne Anil K Seth Marcello Massimini Joshua Shepherd Axel Cleeremans Stephen M Fleming Rafael Malach Jason B Mattingley David K Menon Adrian M Owen Megan A K Peters Adeel Razi Liad Mudrik Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Social uncertainty in the digital world
We present a computational framework for thinking about how increasingly popular online environments modulate the social uncertainty we experience, depending on the type of social inferences we make. This framework draws on Bayesian inference, which involves combining multiple informational sources to update our beliefs.PMID:38448356 | DOI:10.1016/j.tics.2024.02.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - March 6, 2024 Category: Neuroscience Authors: Amanda M Ferguson Georgia Turner Amy Orben Source Type: research
Coupled sleep rhythms for memory consolidation
Trends Cogn Sci. 2024 Mar 4:S1364-6613(24)00029-9. doi: 10.1016/j.tics.2024.02.002. Online ahead of print.ABSTRACTHow do passing moments turn into lasting memories? Sheltered from external tasks and distractions, sleep constitutes an optimal state for the brain to reprocess and consolidate previous experiences. Recent work suggests that consolidation is governed by the intricate interaction of slow oscillations (SOs), spindles, and ripples - electrophysiological sleep rhythms that orchestrate neuronal processing and communication within and across memory circuits. This review describes how sequential SO-spindle-ripple coup...
Source: Trends Cogn Sci - March 5, 2024 Category: Neuroscience Authors: Bernhard P Staresina Source Type: research
From task structures to world models: what do LLMs know?
Trends Cogn Sci. 2024 Mar 4:S1364-6613(24)00035-4. doi: 10.1016/j.tics.2024.02.008. Online ahead of print.ABSTRACTIn what sense does a large language model (LLM) have knowledge? We answer by granting LLMs 'instrumental knowledge': knowledge gained by using next-word generation as an instrument. We then ask how instrumental knowledge is related to the ordinary, 'worldly knowledge' exhibited by humans, and explore this question in terms of the degree to which instrumental knowledge can be said to incorporate the structured world models of cognitive science. We discuss ways LLMs could recover degrees of worldly knowledge and ...
Source: Trends Cogn Sci - March 5, 2024 Category: Neuroscience Authors: Ilker Yildirim L A Paul Source Type: research
Coupled sleep rhythms for memory consolidation
Trends Cogn Sci. 2024 Mar 4:S1364-6613(24)00029-9. doi: 10.1016/j.tics.2024.02.002. Online ahead of print.ABSTRACTHow do passing moments turn into lasting memories? Sheltered from external tasks and distractions, sleep constitutes an optimal state for the brain to reprocess and consolidate previous experiences. Recent work suggests that consolidation is governed by the intricate interaction of slow oscillations (SOs), spindles, and ripples - electrophysiological sleep rhythms that orchestrate neuronal processing and communication within and across memory circuits. This review describes how sequential SO-spindle-ripple coup...
Source: Trends Cogn Sci - March 5, 2024 Category: Neuroscience Authors: Bernhard P Staresina Source Type: research
