2010
DOI: 10.1016/j.neures.2010.02.011
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Rule-dependent anticipatory activity in prefrontal neurons

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Cited by 27 publications
(25 citation statements)
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References 42 publications
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“…Of the 245 single neurons identified, 79 neurons, representing 73% of all task-modulated neurons, fired more for one ‘preferred’ rule over another. Activity in the pre-cue epoch for a preferred rule was observed, comparable to previous primate findings (Yamada et al, 2010). Additionally, the strength of rule activity increased as animals discerned what the appropriate rule block was and behavior improved but then decreased, suggesting a role for mPFC rule neurons in both maintaining a representation of a preferred rule but also in signaling a shift to other downstream areas.…”
Section: Neurophysiology Of Rule Shifting In the Prefrontal Cortexsupporting
confidence: 90%
See 1 more Smart Citation
“…Of the 245 single neurons identified, 79 neurons, representing 73% of all task-modulated neurons, fired more for one ‘preferred’ rule over another. Activity in the pre-cue epoch for a preferred rule was observed, comparable to previous primate findings (Yamada et al, 2010). Additionally, the strength of rule activity increased as animals discerned what the appropriate rule block was and behavior improved but then decreased, suggesting a role for mPFC rule neurons in both maintaining a representation of a preferred rule but also in signaling a shift to other downstream areas.…”
Section: Neurophysiology Of Rule Shifting In the Prefrontal Cortexsupporting
confidence: 90%
“…As with mPFC, the rule signal in these neurons even preceded the onset of the cue presentation (Fig. 2C), reflecting activity in a similar pattern to previous primate PFC work(Yamada et al, 2010) and even fMRI work in humans(Boettiger and D'Esposito, 2005) but also in human fMRI work regarding the role of striatum in rule-based learning and performance(Cools et al, 2004, Seger and Cincotta, 2006). mDS rule neurons robustly signaling one rule over another, significantly increasing firing for one rule block but not increasing activity for the other.…”
Section: Neurophysiology Of Rule Shifting In the Striatumsupporting
confidence: 78%
“…More importantly, a switch from the ON to the OFF state caused by a second inhibitory input can be predicted by the microcircuit response properties (total number of spikes) during the inducing stimulus, which is presented seconds before the termination takes place. This ability to predict ON and OFF states is in agreement with previous modeling (albeit with a different feature) work [23] and conforms with experimental work [51] showing that single neurons can encode state transitions, and PFC neurons in particular, can categorize signals in vivo at the onset of stimulus presentation [52]. This information is readily available to downstream regions [53], [54], presumably contributing to the preparation of a specific movement.…”
Section: Discussionsupporting
confidence: 89%
“…Furthermore, other studies have indicated that the vDLPFC is concerned with abstract information beyond any sensory modality: a recent lesion study indicates that the vDLPFC is involved in working memory for abstract rule (Buckley et al, 2009). Additionally, there are a number of single-unit recording studies reporting sustained activity of neurons coding the abstract rule information (Wallis and Miller, 2003a; Yamada et al, 2010). …”
Section: Visuospatial Working Memory In Monkeysmentioning
confidence: 99%
“…Much evidence from human neuropsychological and neuroimaging studies indicate that the human PFC is involved not only in visuospatial working memory but also in nonspatial working memory of various modalities, as well as many other aspects of cognitive and executive control functions (e.g., Owen et al, 1996; Koechlin et al, 1999; Olesen et al, 2004; for review, Stuss and Knight, 2002; Fuster, 2008; Passingham and Wise, 2012). Monkey electrophysiological studies have shown the neural correlates of various cognitive functions besides working memory within the PFC on the single-neuron level, such as response inhibition (Watanabe, 1986b), attentional control (Sakagami and Tsutsui, 1999; Lebedev et al, 2004), categorical recognition (Freedman et al, 2001; Antzoulatos and Miller, 2011; Tsutsui et al, 2016b), numerical recognition (Nieder et al, 2002), rule-based judgments (Wallis et al, 2001; Mansouri et al, 2006; Yamada et al, 2010), value-based decision making (Barraclough et al, 2004; Cai and Padoa-Schioppa, 2014; Tsutsui et al, 2016a), and complex action planning (Mushiake et al, 2006). We have no intention to insist that the function of the entire PFC can be solely explained by working memory, and indeed we admit that even the above mentioned list of PFC functions is not at all exhaustive.…”
Section: Limitations and Future Perspectivesmentioning
confidence: 99%