Understanding subprocesses of working memory through the lens of model-based cognitive neuroscience

Current Opinion in Behavioral Sciences - Tập 38 - Trang 57-65 - 2021
Anne C Trutti1,2, Sam Verschooren3, Birte U Forstmann1, Russell J Boag1
1Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
2Institute of Psychology, Leiden University, Leiden, The Netherlands
3Department of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium

Tài liệu tham khảo

Cowan, 1988, Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information-processing system, Psychol Bull, 104, 163, 10.1037/0033-2909.104.2.163 Daneman, 1980, Individual differences in working memory and reading, J Mem Lang, 19, 450 Kyllonen, 1990, Reasoning ability is (little more than) working-memory capacity?!, Intelligence, 14, 389, 10.1016/S0160-2896(05)80012-1 Cowan, 2001, The magical number 4 in short-term memory: a reconsideration of mental storage capacity, Behav Brain Sci, 24, 87, 10.1017/S0140525X01003922 Garavan, 1998, Serial attention within working memory, Mem Cogn, 26, 263, 10.3758/BF03201138 Oberauer, 2002, Access to information in working memory: exploring the focus of attention, J Exp Psychol Learn Mem Cognit, 28, 411, 10.1037/0278-7393.28.3.411 Sewell, 2014, Object selection costs in visual working memory: a diffusion model analysis of the focus of attention, J Exp Psychol Learn Mem Cognit, 42, 1673, 10.1037/a0040213 Dreisbach, 2012, Mechanisms of cognitive control: the functional role of task rules, Cur Dir Psychol Sci, 21, 227, 10.1177/0963721412449830 Dreisbach, 2019, On how to be flexible (or not): modulation of the stability-flexibility balance, Curr Dir Psychol Sci, 28, 3, 10.1177/0963721418800030 Hommel, 2015, Between persistence and flexibility: the Yin and Yang of action control, vol 2, 33 Dreisbach, 2005, Dopamine and cognitive control: the influence of spontaneous eyeblink rate and dopamine gene polymorphisms on perseveration and distractibility, Behav Neurosci, 119, 483, 10.1037/0735-7044.119.2.483 Musslick, 2018, Constraints associated with cognitive control and the stability-flexibility dilemma, 804 Cools, 2019, Chemistry of the adaptive mind: lessons from dopamine, Neuron, 104, 113, 10.1016/j.neuron.2019.09.035 Cools, 2011, Inverted-U-shaped dopamine actions on human working memory and cognitive control, Biol Psychiatry, 69, e113, 10.1016/j.biopsych.2011.03.028 Badre, 2012, Opening the gate to working memory, Proc Natl Acad Sci U S A, 109, 19878, 10.1073/pnas.1216902109 Bledowski, 2010, Basic operations in working memory: contributions from functional imaging studies, Behavl Brain Res, 214, 172, 10.1016/j.bbr.2010.05.041 Kessler, 2014, Working memory updating latency reflects the cost of switching between maintenance and updating modes of operation, J Exp Psychol Learn Mem Cognit, 40, 738, 10.1037/a0035545 Miller, 2001, An integrative theory of prefrontal cortex function, Annu Rev Neurosci, 24, 167, 10.1146/annurev.neuro.24.1.167 Murty, 2011, Selective updating of working memory content modulates meso-cortico-striatal activity, Neuroimage, 57, 1264, 10.1016/j.neuroimage.2011.05.006 O’Reilly, 2006, Biologically based computational models of high-level cognition, Science, 314, 91, 10.1126/science.1127242 Rac-Lubashevsky, 2016, Decomposing the n-back task: an individual differences study using the reference-back paradigm, Neuropsychologia, 90, 190, 10.1016/j.neuropsychologia.2016.07.013 Roth, 2006, Neural system for controlling the contents of object working memory in humans, Cereb Cortex, 16, 1595, 10.1093/cercor/bhj096 Ecker, 2014, Working memory updating involves item-specific removal, J Mem Lang, 74, 1, 10.1016/j.jml.2014.03.006 Rac-Lubashevsky, 2016, Dissociating working memory updating and automatic updating: the reference-back paradigm, J Exp Psychol Learn Mem Cognit, 42, 951, 10.1037/xlm0000219 Frank, 2001, Interactions between frontal cortex and basal ganglia in working memory: a computational model, Cogn Affect Behav Neurosci, 1, 137, 10.3758/CABN.1.2.137 Hazy, 2006, Banishing the homunculus: making working memory work, Neuroscience, 139, 105, 10.1016/j.neuroscience.2005.04.067 O’Reilly, 2006, Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia, Neural Comput, 18, 283, 10.1162/089976606775093909 Cools, 2007, Impulsive personality predicts dopamine-dependent changes in frontostriatal activity during component processes of working memory, J Neurosci, 27, 5506, 10.1523/JNEUROSCI.0601-07.2007 Frank, 2006, A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol, Behav Neurosci, 120, 497, 10.1037/0735-7044.120.3.497 Jocham, 2011, Dopamine-mediated reinforcement learning signals in the striatum and ventromedial prefrontal cortex underlie value-based choices, J Neurosci, 31, 1606, 10.1523/JNEUROSCI.3904-10.2011 Dahlin, 2008, Transfer of learning after updating training mediated by the striatum, Science, 320, 1510, 10.1126/science.1155466 Lewis, 2004, Striatal contributions to working memory: a functional magnetic resonance imaging study in humans, Eur J Neurosci, 19, 755, 10.1111/j.1460-9568.2004.03108.x McNab, 2008, Prefrontal cortex and basal ganglia control access to working memory, Nat Neurosci, 11, 103, 10.1038/nn2024 Tan, 2007, Catechol-O-methyltransferase Val158Met modulation of prefrontal–parietal–striatal brain systems during arithmetic and temporal transformations in working memory, J Neurosci, 27, 13393, 10.1523/JNEUROSCI.4041-07.2007 van Schouwenburg, 2010, The human basal ganglia modulate frontal-posterior connectivity during attention shifting, J Neurosci, 30, 9910, 10.1523/JNEUROSCI.1111-10.2010 Feredoes, 2011, Causal evidence for frontal involvement in memory target maintenance by posterior brain areas during distracter interference of visual working memory, Proc Natl Acad Sci U S A, 108, 17510, 10.1073/pnas.1106439108 D’Esposito, 2015, The cognitive neuroscience of working memory, Annu Rev Psychol, 66, 115, 10.1146/annurev-psych-010814-015031 Owen, 2005, N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies, Hum Brain Mapp, 25, 46, 10.1002/hbm.20131 Chatham, 2015, Multiple gates on working memory, Curr Opin Behav Sci, 1, 23, 10.1016/j.cobeha.2014.08.001 Braver, 2012, The variable nature of cognitive control: a dual mechanisms framework, Trends Cogn Sci, 16, 106, 10.1016/j.tics.2011.12.010 2015, 139 Turner, 2019, Advances in techniques for imposing reciprocity in brain-behavior relations, Neurosci Biobehav Rev, 102, 327, 10.1016/j.neubiorev.2019.04.018 Friston, 2009, Modalities, modes, and models in functional neuroimaging, Science, 326, 399, 10.1126/science.1174521 Love, 2016, Cognitive models as bridge between brain and behavior, Trends Cogn Sci, 20, 247, 10.1016/j.tics.2016.02.006 Schall, 2019, Accumulators, neurons, and response time, Trends Neurosci, 10.1016/j.tins.2019.10.001 Ecker, 2010, The components of working memory updating: an experimental decomposition and individual differences, J Expl Psychol Learn Mem Cogn, 36, 170, 10.1037/a0017891 Nir-Cohen, 2019, Distinct neural substrates for opening and closing the gate from perception to working memory, bioRxiv Lewis-Peacock, 2018, The removal of information from working memory, Ann N Y Acad Sci, 1424, 33, 10.1111/nyas.13714 Jongkees, 2020, Baseline-dependent effect of dopamine’s precursor L-tyrosine on working memory gating but not updating, Cogn Affect Behav Neurosci, 1 Rac-Lubashevsky, 2017, Tracking real-time changes in working memory updating and gating with the event-based eye-blink rate, Sci Rep, 7, 1, 10.1038/s41598-017-02942-3 Rac-Lubashevsky, 2018, Oscillatory correlates of control over working memory gating and updating: an EEG study using the reference-back paradigm, J Cogn Neurosci, 30, 1870, 10.1162/jocn_a_01326 Rac-Lubashevsky, 2019, Revisiting the relationship between the P3b and working memory updating, Biol Psychol, 148, 10.1016/j.biopsycho.2019.107769 Pearson, 2014, Working memory retrieval as a decision process, J Vision, 14, 2, 10.1167/14.2.2 Brown, 2008, The simplest complete model of choice response time: linear ballistic accumulation, Cogn Psychol, 57, 153, 10.1016/j.cogpsych.2007.12.002 Ratcliff, 1978, A theory of memory retrieval, Psychol Rev, 85, 59, 10.1037/0033-295X.85.2.59 Cavanagh, 2014, Frontal theta as a mechanism for cognitive control, Trends Cogn Sci, 18, 414, 10.1016/j.tics.2014.04.012 Cohen, 2014, A neural microcircuit for cognitive conflict detection and signaling, Trends Neurosci, 37, 480, 10.1016/j.tins.2014.06.004 Cohen, 2013, Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior, J Neurophysiol, 110, 2752, 10.1152/jn.00479.2013 Cavanagh, 2015, Cortical delta activity reflects reward prediction error and related behavioral adjustments, but at different times, Neuroimage, 110, 205, 10.1016/j.neuroimage.2015.02.007 Gulbinaite, 2014, Fronto-parietal network oscillations reveal relationship between working memory capacity and cognitive control, Front Hum Neurosci, 8, 761, 10.3389/fnhum.2014.00761 Harmony, 2013, The functional significance of delta oscillations in cognitive processing, Front Integr Neurosci, 7, 83, 10.3389/fnint.2013.00083 Folstein, 2008, Influence of cognitive control and mismatch on the N2 component of the ERP: a review, Psychophysiology, 45, 152, 10.1111/j.1469-8986.2007.00602.x de Hollander, 2016, Different ways of linking behavioral and neural data via computational cognitive models, Biol Psychiatry Cogn Neurosci Neuroimaging, 1, 101 Forstmann, 2011, Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?, Trends Cogn Sci, 15, 272, 10.1016/j.tics.2011.04.002 Logie, 1994, Counting on working memory in arithmetic problem solving, Mem Cognit, 22, 395, 10.3758/BF03200866 Owen, 1997, The functional organization of working memory processes within human lateral frontal cortex: the contribution of functional neuroimaging, Eur J Neurosci, 9, 1329, 10.1111/j.1460-9568.1997.tb01487.x Fürst, 2000, Separate roles for executive and phonological components of working memory in mental arithmetic, Mem Cognit, 28, 774, 10.3758/BF03198412 Kessler, 2018, N-2 repetition leads to a cost within working memory and a benefit outside it, Ann N Y Acad Sci, 1424, 268, 10.1111/nyas.13607 D’Esposito, 1999, Maintenance versus manipulation of information held in working memory: an event-related fMRI study, Brain Cognit, 41, 66, 10.1006/brcg.1999.1096 Marshuetz, 2005, Order information in working memory: an integrative review of evidence from brain and behavior, Psychol Bull, 131, 323, 10.1037/0033-2909.131.3.323 Nassar, 2018, Chunking as a rational strategy for lossy data compression in visual working memory, Psychol Rev, 125, 486, 10.1037/rev0000101 van Dijck, 2013, Spatial attention interacts with serial-order retrieval from verbal working memory, Psychol Sci, 24, 1854, 10.1177/0956797613479610 Collins, 2012, How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis, Eur J Neurosci, 35, 1024, 10.1111/j.1460-9568.2011.07980.x Donkin, 2013, Discrete-slots models of visual working-memory response times, Psychol Rev, 120, 873, 10.1037/a0034247 McDougle, 2020, Modeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning, Psychon Bull Rev, 1 Ricker, 2016, Decay theory of immediate memory: from Brown (1958) to today (2014), Q J Exp Psychol, 69, 1969, 10.1080/17470218.2014.914546 Verschooren, 2020, Evidence for a single mechanism gating perceptual and long-term memory information into working memory, PsyArXiv, 0 Bays, 2008, Dynamic shifts of limited working memory resources in human vision, Science, 321, 851, 10.1126/science.1158023 Ma, 2014, Changing concepts of working memory, Nat Neurosci, 17, 347, 10.1038/nn.3655 Zhang, 2008, Discrete fixed-resolution representations in visual working memory, Nature, 453, 233, 10.1038/nature06860 Eidels, 2010, Converging measures of workload capacity, Psychon Bull Rev, 17, 763, 10.3758/PBR.17.6.763 de Hollander, 2017, Comparing functional MRI protocols for small, iron-rich basal ganglia nuclei such as the subthalamic nucleus at 7 T and 3 T, Hum Brain Mapp, 38, 3226, 10.1002/hbm.23586 Trutti, 2019, Functional neuroanatomical review of the ventral tegmental area, Neuroimage, 191, 258, 10.1016/j.neuroimage.2019.01.062 Schultz, 1997, A neural substrate of prediction and reward, Science, 275, 1593, 10.1126/science.275.5306.1593 D’Ardenne, 2012, Role of prefrontal cortex and the midbrain dopamine system in working memory updating, Proc Natl Acad Sci U S A, 109, 19900, 10.1073/pnas.1116727109 Yu, 2013, Working memory and anticipatory set modulate midbrain and putamen activity, J Neurosci, 33, 14040, 10.1523/JNEUROSCI.1176-13.2013 Turner, 2016, Why more is better: simultaneous modeling of EEG, fMRI, and behavioral data, Neuroimage, 128, 96, 10.1016/j.neuroimage.2015.12.030 Ditterich, 2010, A comparison between mechanisms of multi-alternative perceptual decision making: ability to explain human behavior, predictions for neurophysiology, and relationship with decision theory, Front Neurosci, 4, 184, 10.3389/fnins.2010.00184 Hawkins, 2017, On the efficiency of neurally-informed cognitive models to identify latent cognitive states, J Math Psychol, 76, 142, 10.1016/j.jmp.2016.06.007 Norman, 2003, Modeling hippocampal and neocortical contributions to recognition memory: a complementary-learning-systems approach, Psychol Rev, 110, 611, 10.1037/0033-295X.110.4.611 O’Reilly, 2002, Hippocampal and neocortical contributions to memory: advances in the complementary learning systems framework, Trends Cogn Sci, 6, 505, 10.1016/S1364-6613(02)02005-3 Weilbächer, 2017, The interplay of hippocampus and ventromedial prefrontal cortex in memory-based decision making, Brain Sci, 7, 4, 10.3390/brainsci7010004 Bouarab, 2019, VTA GABA neurons at the interface of stress and reward, Front Neural Circuits, 13, 78, 10.3389/fncir.2019.00078 van Zessen, 2012, Activation of VTA GABA neurons disrupts reward consumption, Neuron, 73, 1184, 10.1016/j.neuron.2012.02.016 Shenhav, 2013, The expected value of control: an integrative theory of anterior cingulate cortex function, Neuron, 79, 217, 10.1016/j.neuron.2013.07.007 Huys, 2016, Computational psychiatry as a bridge from neuroscience to clinical applications, Nat Neurosci, 19, 404, 10.1038/nn.4238 Thalmann, 2019, How does chunking help working memory?, J Exp Psychol Learn Mem Cognit, 45, 37, 10.1037/xlm0000578 Mathy, 2012, What’s magic about magic numbers? Chunking and data compression in short-term memory, Cognition, 122, 346, 10.1016/j.cognition.2011.11.003 Navon, 1984, Resources—a theoretical soup stone?, Psychol Rev, 91, 216, 10.1037/0033-295X.91.2.216