{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:18:41Z","timestamp":1766269121137},"reference-count":30,"publisher":"MIT Press","issue":"1","content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>While working memory (WM) allows us to store past information, its function is to guide future behavior. Given this role, the tight link between how WMs are maintained and how they are read out to be transformed into context-appropriate actions remains relatively unexplored. Beyond helping us understand memory-guided behavior, focusing on WM readout may also help us better understand the neural basis of memory maintenance.<\/jats:p>","DOI":"10.1162\/jocn_a_01921","type":"journal-article","created":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T15:53:36Z","timestamp":1664294016000},"page":"11-13","update-policy":"http:\/\/dx.doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":9,"title":["Considering Readout to Understand Working Memory"],"prefix":"10.1162","volume":"35","author":[{"given":"Nicholas E.","family":"Myers","sequence":"first","affiliation":[{"name":"University of Nottingham"}]}],"member":"281","published-online":{"date-parts":[[2022,12,1]]},"reference":[{"key":"2022120122574292900_bib1","doi-asserted-by":"publisher","first-page":"e1001080","DOI":"10.1371\/journal.pcbi.1001080","article-title":"Spike-based population coding and working memory","volume":"7","author":"Boerlin","year":"2011","journal-title":"PLoS Computational Biology"},{"key":"2022120122574292900_bib2","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.neuron.2019.04.020","article-title":"A flexible model of working memory","volume":"103","author":"Bouchacourt","year":"2019","journal-title":"Neuron"},{"key":"2022120122574292900_bib3","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1146\/annurev-vision-100419-104831","article-title":"Balancing flexibility and interference in working memory","volume":"7","author":"Buschman","year":"2021","journal-title":"Annual Review of Vision Science"},{"key":"2022120122574292900_bib4","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.1016\/j.neuron.2017.03.002","article-title":"Computing by robust transience: How the fronto-parietal network performs sequential, category-based decisions","volume":"93","author":"Chaisangmongkon","year":"2017","journal-title":"Neuron"},{"key":"2022120122574292900_bib5","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.neuron.2008.07.001","article-title":"Attention to stimulus features shifts spectral tuning of V4 neurons during natural vision","volume":"59","author":"David","year":"2008","journal-title":"Neuron"},{"key":"2022120122574292900_bib6","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1146\/annurev-psych-010814-015031","article-title":"The cognitive neuroscience of working memory","volume":"66","author":"D'Esposito","year":"2015","journal-title":"Annual Review of Psychology"},{"key":"2022120122574292900_bib7","doi-asserted-by":"publisher","DOI":"10.1101\/2022.08.15.503870","article-title":"Flexible multitask computation in recurrent networks utilizes shared dynamical motifs","author":"Driscoll","year":"2022","journal-title":"bioRxiv"},{"key":"2022120122574292900_bib8","doi-asserted-by":"publisher","DOI":"10.1101\/2021.02.01.429156","article-title":"Geometry of neural computation unifies working memory and planning","author":"Ehrlich","year":"2021","journal-title":"bioRxiv"},{"key":"2022120122574292900_bib9","doi-asserted-by":"publisher","first-page":"6638","DOI":"10.1523\/JNEUROSCI.3418-16.2017","article-title":"Visual working memory enhances the neural response to matching visual input","volume":"37","author":"Gayet","year":"2017","journal-title":"Journal of Neuroscience"},{"key":"2022120122574292900_bib10","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1016\/0896-6273(95)90304-6","article-title":"Cellular basis of working memory","volume":"14","author":"Goldman-Rakic","year":"1995","journal-title":"Neuron"},{"key":"2022120122574292900_bib11","doi-asserted-by":"publisher","first-page":"1428","DOI":"10.1016\/j.neuropsychologia.2010.12.020","article-title":"Common neural mechanisms supporting spatial working memory, attention and motor intention","volume":"49","author":"Ikkai","year":"2011","journal-title":"Neuropsychologia"},{"key":"2022120122574292900_bib12","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.copsyc.2019.01.012","article-title":"The interdependence of attention, working memory and gaze control: Behavior and neural circuitry","volume":"29","author":"Jonikaitis","year":"2019","journal-title":"Current Opinion in Psychology"},{"key":"2022120122574292900_bib13","doi-asserted-by":"publisher","first-page":"e22225","DOI":"10.7554\/eLife.22225","article-title":"Fundamental bound on the persistence and capacity of short-term memory stored as graded persistent activity","volume":"6","author":"Koyluoglu","year":"2017","journal-title":"eLife"},{"key":"2022120122574292900_bib14","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1038\/s41593-021-00821-9","article-title":"Rotational dynamics reduce interference between sensory and memory representations","volume":"24","author":"Libby","year":"2021","journal-title":"Nature Neuroscience"},{"key":"2022120122574292900_bib15","doi-asserted-by":"publisher","DOI":"10.1101\/2020.12.30.424833","article-title":"A hot-coal theory of working memory","author":"Lundqvist","year":"2021","journal-title":"bioRxiv"},{"key":"2022120122574292900_bib16","doi-asserted-by":"publisher","first-page":"15041","DOI":"10.1038\/ncomms15041","article-title":"Spatial working memory alters the efficacy of input to visual cortex","volume":"8","author":"Merrikhi","year":"2017","journal-title":"Nature Communications"},{"key":"2022120122574292900_bib17","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1016\/j.neuron.2018.09.023","article-title":"Working memory 2.0","volume":"100","author":"Miller","year":"2018","journal-title":"Neuron"},{"key":"2022120122574292900_bib18","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1038\/s41593-018-0314-y","article-title":"A diverse range of factors affect the nature of neural representations underlying short-term memory","volume":"22","author":"Orhan","year":"2019","journal-title":"Nature Neuroscience"},{"key":"2022120122574292900_bib19","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1038\/s41586-021-03390-w","article-title":"Shared mechanisms underlie the control of working memory and attention","volume":"592","author":"Panichello","year":"2021","journal-title":"Nature"},{"key":"2022120122574292900_bib20","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1167\/14.2.2","article-title":"Working memory retrieval as a decision process","volume":"14","author":"Pearson","year":"2014","journal-title":"Journal of Vision"},{"key":"2022120122574292900_bib21","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1162\/jocn_a_01879","article-title":"Neural reinstatement tracks spread of attention between object features in working memory","volume":"34","author":"Printzlau","year":"2022","journal-title":"Journal of Cognitive Neuroscience"},{"key":"2022120122574292900_bib22","doi-asserted-by":"publisher","first-page":"5493","DOI":"10.1523\/JNEUROSCI.19-13-05493.1999","article-title":"Prospective coding for objects in primate prefrontal cortex","volume":"19","author":"Rainer","year":"1999","journal-title":"Journal of Neuroscience"},{"key":"2022120122574292900_bib23","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1037\/rev0000117","article-title":"Decision making on spatially continuous scales","volume":"125","author":"Ratcliff","year":"2018","journal-title":"Psychological Review"},{"key":"2022120122574292900_bib24","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1016\/j.neuron.2017.11.023","article-title":"Decoding a decision process in the neuronal population of dorsal premotor cortex","volume":"96","author":"Rossi-Pool","year":"2017","journal-title":"Neuron"},{"key":"2022120122574292900_bib25","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1037\/xhp0000448","article-title":"Working memory load and the retro-cue effect: A diffusion model account","volume":"44","author":"Shepherdson","year":"2018","journal-title":"Journal of Experimental Psychology: Human Perception and Performance"},{"key":"2022120122574292900_bib26","doi-asserted-by":"publisher","first-page":"6503","DOI":"10.1523\/JNEUROSCI.3364-16.2017","article-title":"Stable and dynamic coding for working memory in primate prefrontal cortex","volume":"37","author":"Spaak","year":"2017","journal-title":"Journal of Neuroscience"},{"key":"2022120122574292900_bib27","doi-asserted-by":"publisher","first-page":"e58154","DOI":"10.7554\/eLife.58154","article-title":"Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex","volume":"9","author":"Tang","year":"2020","journal-title":"eLife"},{"key":"2022120122574292900_bib28","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/S0166-2236(00)01868-3","article-title":"Synaptic reverberation underlying mnemonic persistent activity","volume":"24","author":"Wang","year":"2001","journal-title":"Trends in Neurosciences"},{"key":"2022120122574292900_bib29","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1016\/j.tins.2021.09.001","article-title":"50 years of mnemonic persistent activity: Quo vadis?","volume":"44","author":"Wang","year":"2021","journal-title":"Trends in Neurosciences"},{"key":"2022120122574292900_bib30","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1038\/nn.3645","article-title":"Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory","volume":"17","author":"Wimmer","year":"2014","journal-title":"Nature Neuroscience"}],"container-title":["Journal of Cognitive Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/jocn\/article-pdf\/35\/1\/11\/2061274\/jocn_a_01921.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/jocn\/article-pdf\/35\/1\/11\/2061274\/jocn_a_01921.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,2]],"date-time":"2022-12-02T01:56:09Z","timestamp":1669946169000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/jocn\/article\/35\/1\/11\/113154\/Considering-Readout-to-Understand-Working-Memory"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":30,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2022,12,1]]},"published-print":{"date-parts":[[2022,12,1]]}},"URL":"https:\/\/doi.org\/10.1162\/jocn_a_01921","relation":{},"ISSN":["0898-929X","1530-8898"],"issn-type":[{"value":"0898-929X","type":"print"},{"value":"1530-8898","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023]]},"published":{"date-parts":[[2022,12,1]]}}}