Abstract
The ability to maintain and manipulate information across temporal delays is a fundamental requirement to bridge the gap between perception and action. In the case of higher-order behavior, the maintenance of rules and strategies is particularly helpful in bridging this gap. The prefrontal cortex (PFC) has long been considered critical for such processes, and research has focused on different subdivisions of PFC to gain an insight into their diverse contributions to these mechanisms. Substantial evidence indicates that dorsolateral PFC (dlPFC) is an important structure for maintaining information across delays, with cells actively firing across delays and lesions to this region causing deficits in tasks involving delayed responses and maintenance of rules online. Frontopolar cortex (FP), on the other hand, appears to show the opposite pattern of results, with cells not firing across delays and lesions to this region not affecting the same rule-based, delayed response tasks that are impaired following dlPFC lesions. The body of evidence therefore suggests that dlPFC and FP’s contributions to working memory differ. In this article, we will provide a perspective on how these regions might implement distinct but complementary and interactive functions that contribute to more general temporally-extended processes and support flexible, dynamic behavior.
Working Memory and Prefrontal Cortex (PFC)
A fundamental aspect of cognition is the ability to maintain and manipulate information even when it cannot be directly perceived in the form of sensory input, for example because it is no longer accessible. Besides contributing to basic memory processes, such as the passive maintenance of information for future use, this type of cognitive processing is also essential in order to associate actions and/or stimuli with outcomes that may be temporally distant from the onset of the action or stimulus themselves. Furthermore, it is advantageous for the planning and execution of sequential behavioral plans that span longer timescales than that of a single action.
The prefrontal cortex (PFC) has long been considered critical for this cognitive ability, often referred to by the very general and umbrella term “working memory”. Several studies have linked PFC cells’ activities with the internal representation of information, ranging from the encoding of stimulus features, to value, to more abstract rules, goals and strategies (Asaad et al., , ; White and Wise, ; Wallis et al., ; Bunge et al., ; Kennerley et al., ), as well as with the maintenance and manipulation of information across time (Fuster and Alexander, ; Goldman-Rakic, ; Miller et al., ; Bunge et al., ; Mushiake et al., ; Mansouri et al., ). PFC damage in human patients has been linked to severe deficits in memory and planning (Bauer and Fuster, ; Goldman-Rakic, ; Fuster, ; Thompson-Schill et al., ) and such patterns of impairment have also been extensively reported in the animal literature (for a comprehensive review, see Fuster, ). In particular, the effects of large targeted PFC ablations on a range of tasks in non-human primates have led some authors to hypothesize a role for PFC in processing specifically temporally extended and/or temporally complex information (Wilson et al., ).
Dorsolateral and Frontopolar Cortices and Temporally Extended Prefrontal Functions
Evidence suggests that, rather than being a functionally homogeneous region, PFC may comprise a network of cytoarchitecturally and functionally distinct subdivisions (Walker, ; Carmichael and Price, ; Petrides and Pandya, ; Petrides, ; Brodmann, ). Therefore, one question concerns whether particular subdivisions of PFC might be specifically crucial for particular processes referred to under the general rubric of working memory processes. Fuster, distinguished between lateral prefrontal and medial prefrontal syndromes, with the former, but not the latter, being characterized by impairments in, amongst other functions, working memory. Indeed, a large number of findings regarding the properties of PFC cells and the effects of PFC damage on working memory tasks come from investigations into lateral PFC, and particularly the dorsolateral prefrontal (dlPFC) regions (Figures 1A–E) including, in the macaque, the area surrounding the principal sulcus (Petrides, ). Human neuroimaging studies have shown that a region anteriorly adjacent to dlPFC, namely frontopolar cortex (FP), approximately corresponding to Brodmann’s area 10 (Figures 1A–E), is also particularly active during working memory and episodic memory tasks in humans (Gilbert et al., ,) and it has been associated with prospective memory (PM) functions, i.e., the maintenance of information related to a future action plan across time-delays (Okuda et al., ; Burgess et al., ; Volle et al., ). Consistent with Fuster’s distinction between lateral and medial PFC syndromes, FP’s memory functions have also generally been associated with its lateral portion, which, in humans, has been found to closely resemble macaque’s dorsolateral area 46 in terms of functional connectivity with wider cerebral cortex (Figure 1F; Sallet et al., ; Neubert et al., ).
Figure 1
Nevertheless, recent studies have also begun to highlight some differences between the two regions, for example in neurophysiological profiles of cells in dlPFC vs. FP. Cells in the dorsal and lateral aspect of FP, unlike more posterior cells in dlPFC per se, do not appear to fire across temporal delays (Tsujimoto et al.,
Stimulus Features
In tasks of recognition memory such as delay-matching-to-sample (DMS) or delay-non-matching-to-sample (DNMS), the subject has to maintain a memory trace of the perceptual features of a sample stimulus, in order to accurately compare them with those of a test stimulus (or stimuli) after delays of varying length. Cells in dlPFC have been shown to fire during delays in such tasks, with activity correlated to the individual properties of the sample (Miller et al.,
While no recordings of FP cells during DMS/DNMS task exist to date, we recently investigated the effects of targeted lesions to the macaque’s FP on both tasks, and found that, unlike dlPFC lesions, these had no effect on any aspect of the animals’ performance of either task (Figure 2A). The FP animals were undistinguishable from controls both in reaching criterion for the tasks and in their performance across varying delays (Boschin et al.,
Figure 2

Patterns of spared and impaired performance following FP lesion in the macaque (adapted from Boschin et al.,
Abstract Rules and Strategies
The need to maintain or manipulate information across time is not exclusively a requirement of situations where one needs to hold a memory trace of a cue or stimulus that can no longer be directly perceived, as in the case of DMS/DNMS tasks. Even in the presence of constant sensory input, in the form of visual stimuli for example, other types of task-relevant information might be maintained, such as rules, strategies or action plans. A large body of evidence does implicate both dlPFC and FP in the encoding, maintenance and manipulation of task instructions, abstract rules and strategies (Rowe et al.,
While any type of rule-based behavior benefits from reliable and consistent maintenance of rules and context across time, this type of processing is particularly useful in situations where rules or instructions are not explicitly cued on every trial and/or are not kept constant, but, rather, change dynamically. While in versions of DMS/DNMS when the rule varies from trial-to-trial, but is nonetheless cued, significant BOLD activity is elicited in ventral PFC but not dlPFC (Bunge et al.,
Variants of the Wisconsin Card Sorting Test (WCST)—where subjects are required to respond by matching a sample to one of several test items according to uncued rules that vary dynamically across the session—have proved valuable in animal and human neuropsychological studies investigating the underlying neural mechanisms supporting such behavior. In a monkey-analog of the WCST, single-cell recordings in the macaque’s principal sulcus (area 46 and 9/46) have identified cells that encode and maintain a representation of the currently relevant rule both within and between trials (Mansouri et al.,
As in the case of DMS/DNMS tasks, to date no recordings have been carried out in the macaque FP during the WCST analog. However, recent findings about the effects of lesions to this area indicate that, unlike dlPFC lesions, FP damage does not impair animals on either rule maintenance or rule switching in the standard version, nor does it impair the conflict version of the task (Mansouri et al.,
Nevertheless, while FP animals were not impaired in any aspect of the WCST analogs, FP lesions did nonetheless have an effect on performance, in the form of an enhancement compared to controls. FP lesioned animals were better at adapting their behavior following exposure to conflict and were also less susceptible to intervening distractors, regardless of salience, being better able to maintain the relevant rule in memory compared to controls (Mansouri et al.,
Evaluating the Relative Value of Novel Alternatives: a Proposed Contribution of Frontopolar Cortex to Cognition
We hypothesize that a key contribution of FP to cognition is in supporting the exploration and evaluation of the relative value of different alternatives, particularly when novel. This hypothesis is supported by the effects of FP lesions across a range of behavioral tasks, in particular the findings of very specific effects of such lesions on rapid learning about novel alternatives across three different tasks: an objects-in-scenes task (Figure 2B), a successive single-problem learning task (Figure 2C), and the acquisition of a new abstract rule (“smaller than”) in a simultaneous visual discrimination task (Figure 2D; Boschin et al.,
In these tasks, control animals showed a sharp decrease in errors in the early stages of choosing between new alternative scenes and objects, or acquiring a novel alternative rule, indicating that they were able to rapidly extract information about the relative value of these novel alternatives. FP lesioned animals, on the other hand, showed no such pattern of rapid learning (see Figures 2B–D), but were indistinguishable from controls in later stages of learning, where error rates decreased more gradually (Boschin et al.,
This hypothesis is consistent with the data from Mansouri et al. (
This new framework could allow for new interpretation of some influential findings regarding the activation of FP in tasks with a working memory component. For example, Volle et al. (
Conclusions and Future Direction
Taken together, the evidence we presented can be interpreted within a theoretical framework where FP and dlPFC support distinct, but complementary and interactive, cognitive processes that can contribute to more general temporally extended functions, namely the exploration and evaluation of the value of novel behavioral alternatives and the implementation of ongoing behavior based upon what is perceived to be the contextually most relevant information, respectively. In tasks where action plans can span long timeframes and/or need to be updated dynamically in response to contextual changes, dlPFC is essential to appropriately maintain, select and manipulate information, rules and behavioral strategies, particularly in the absence of specific cues that inform the subject about the most appropriate response. In these dynamic contexts, FP can interact with dlPFC by providing the latter with information about novel valuable behavioral options that dlPFC can then encode, maintain and implement in order to flexibly adapt behavior.
Regarding generalization across species, comparative functional connectivity studies have suggested that while human medial FP resembles macaque FP, human lateral FP resembles dorsolateral area 46 in the macaque as opposed to macaque FP (Neubert et al.,
Moving forward in the exploration of the role of dlPFC and FP in these processes, the key concept is interaction. Most of the data collected so far has stemmed from the study of individual areas in isolation, but neuroimaging in humans has begun to draw attention to the highly interactive nature of activity between PFC and wider cortical networks (Sakai and Passingham,
Statements
Acknowledgments
The preparation of this manuscript was supported by an MRC project grant to MJB.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AsaadW. F.RainerG.MillerE. (1998). Neural activity in the primate prefrontal cortex during associative learning. Neuron21, 1399–1407. 10.1016/s0896-6273(00)80658-3
2
AsaadW. F.RainerG.MillerE. K. (2000). Task-specific neural activity in the primate prefrontal cortex. J. Neurophysiol.84, 451–459.
3
BachevalierJ.MishkinM. (1986). Visual recognition impairment follows ventromedial but not dorsolateral prefrontal lesions in monkeys. Behav. Brain Res.20, 249–261. 10.1016/0166-4328(86)90225-1
4
BadreD. (2008). Cognitive control, hierarchy and the rostro-caudal organization of the frontal lobes. Trends Cogn. Sci.12, 193–200. 10.1016/j.tics.2008.02.004
5
BadreD.D’EspositoM. (2007). Functional magnetic resonance imaging evidence for a hierarchical organization of the prefrontal cortex. J. Cogn. Neurosci.19, 2082–2099. 10.1162/jocn.2007.19.12.2082
6
BauerR. H.FusterJ. M. (1976). Delayed-matching and delayed-response deficit from cooling dorsolateral prefrontal cortex in monkeys. J. Comp. Physiol. Psychol.90, 293–302. 10.1037/h0087996
7
BaxterM. G.GaffanD.KyriazisD.MitchellA. S. (2008). Dorsolateral prefrontal lesions do not impair tests of scene learning and decision-making that require frontal-temporal interaction. Eur. J. Neurosci.28, 491–499. 10.1111/j.1460-9568.2008.06353.x
8
BengtssonS. L.HaynesJ. D.SakaiK.BuckleyM. J.PassinghamR. E. (2009). The representation of abstract task rules in the human prefrontal cortex. Cereb. Cortex.19, 1929–1936. 10.1093/cercor/bhn222
9
BoormanE. D.BehrensT. E. J.WoolrichM. W.RushworthM. F. S. (2009). How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action. Neuron62, 733–743. 10.1016/j.neuron.2009.05.014
10
BoormanE. D.BehrensT. E.RushworthM. F. (2011). Counterfactual choice and learning in a neural network centered on human lateral frontopolar cortex. PLoS Biol.9:e1001093. 10.1371/journal.pbio.1001093
11
BoschinE. A.PiekemaC.BuckleyM. J. (2015). Essential functions of primate frontopolar cortex in cognition. Proc. Natl. Acad. Sci. U S A112, E1020–E1027. 10.1073/pnas.1419649112
12
BrodmannK. (1909). Localisation in the Cerebral Cortex. 10.1007/b138298 [Epub ahead of print].
13
BuckleyM. J.MansouriF. A.HodaH.MahboubiM.BrowningP. G. F.KwokS. C.et al. (2009). Dissociable components of rule-guided behavior depend on distinct medial and prefrontal regions. Science325, 52–58. 10.1126/science.1172377
14
BungeS. A.KahnI.WallisJ. D.MillerE. K.WagnerA. D. (2003). Neural circuits subserving the retrieval and maintenance of abstract rules. J. Neurophysiol.90, 3419–3428. 10.1152/jn.00910.2002
15
BurgessP. W.Gonen-YaacoviG.VolleE. (2011). Functional neuroimaging studies of prospective memory: What have we learnt so far?Neuropsychologia49, 2246–2257. 10.1016/j.neuropsychologia.2011.02.014
16
BurgessP. W.Gonen-YaacoviG.VolleE. (2012). “Rostral prefrontal cortex: what neuroimaging can learn from human neuropsychology,” in Mind and the Frontal Lobes: Cognition, Behaviour and Brain Imaging, eds LevineB.CraikF. (New York: Oxford University Press), 47–92. 10.1093/acprof:oso/9780199791569.003.0017
17
BurmanK. J.ReserD. H.RichardsonK. E.GaulkeH.WorthyK. H.RosaM. G. P. (2011a). Subcortical projections to the frontal pole in the marmoset monkey. Eur. J. Neurosci.34, 303–319. 10.1111/j.1460-9568.2011.07744.x
18
BurmanK. J.ReserD. H.YuH. H.RosaM. G. P. (2011b). Cortical input to the frontal pole of the marmoset monkey. Cereb. Cortex.21, 1712–1737. 10.1093/cercor/bhq239
19
CarmichaelS. T.PriceJ. L. (1994). Architectonic subdivision of the orbital and medial prefrontal cortex in the macaque monkey. The J. Comp. Neurol.346, 366–402. 10.1002/cne.903460305
20
ChristoffK.KeramatianK. (2007). “Abstraction of mental representations: theoretical consideration and neuroscientific evidence,” in Neuroscience of Rule-Guided Behavior, eds BungeS. A.WallisJ. D. (New York: Oxford University Press), 109–126.
21
DawN. D.O’DohertyJ. P.DayanP.SeymourB.DolanR. J. (2006). Cortical substrates for exploratory decisions in humans. Nature441, 876–879. 10.1038/nature04766
22
ForstmannB. U.BrassM.KochI.Von CramonD. Y. (2005). Internally generated and directly cued task sets: An investigation with fMRI. Neuropsychologia43, 943–952. 10.1016/j.neuropsychologia.2004.08.008
23
FusterJ.AlexanderG. (1971). Neuron activity related to short-term memory. Science173, 652–654. 10.1126/science.173.3997.652
24
FusterJ. M. (2008). The Prefrontal Cortex.London: Academic Press.
25
FusterJ. M.AlexanderG. E. (1970). Delayed response deficit by cryogenic depression of frontal cortex. Brain Res.20, 85–90. 10.1016/0006-8993(70)90156-3
26
GilbertS. J.SpenglerS.SimonsJ. S.FrithC. D.BurgessP. W. (2006a). Differential functions of lateral and medial rostral prefrontal cortex (area 10) revealed by brain-behavior associations. Cereb. Cortex.16, 1783–1789. 10.1093/cercor/bhj113
27
GilbertS. J.SpenglerS.SimonsJ. S.SteeleJ. D.LawrieS. M.FrithC. D.et al. (2006b). Functional specialization within rostral prefrontal cortex (area 10): a meta-analysis. J. Cogn. Neurosci.18, 932–948. 10.1162/jocn.2006.18.6.932
28
Goldman-RakicP. (1995). Cellular basis of working memory. Neuron14, 477–485. 10.1016/0896-6273(95)90304-6
29
Goldman-RakicP. (2011). Circuitry of primate prefrontal cortex and regulation of behavior by representational memory. Compr. Physiol.373–417. 10.1002/cphy.cp010509
30
KennerleyS. W.BehrensT. E. J.WallisJ. D. (2011). Double dissociation of value computations in orbitofrontal and anterior cingulate neurons. Nat. Neurosci.14, 1581–1589. 10.1038/nn.2961
31
KoechlinE.SummerfieldC. (2007). An information theoretical approach to prefrontal executive function. Trends Cogn. Sci.11, 229–235. 10.1016/j.tics.2007.04.005
32
KowalskaD. M.BachevalierJ.MishkinM. (1991). The role of the inferior prefrontal convexity in performance of delayed nonmatching-to-sample. Neuropsychologia29, 583–600. 10.1016/0028-3932(91)90012-w
33
LevyR.Goldman-RakicP. S. (2000). Segregation of working memory functions within the dorsolateral prefrontal cortex. Exp. Brain Res.133, 23–32. 10.1007/978-3-642-59794-7_4
34
LieC. H.SpechtK.MarshallJ. C.FinkG. R. (2006). Using fMRI to decompose the neural processes underlying the Wisconsin Card Sorting Test. Neuroimage30, 1038–1049. 10.1016/j.neuroimage.2005.10.031
35
MansouriF. A.BuckleyM. J.TanakaK. (2007). Mnemonic function of the dorsolateral prefrontal cortex in conflict-induced behavioral adjustment. Science318, 987–990. 10.1126/science.1146384
36
MansouriF. A.BuckleyM. J.MahboubiM.TanakaK. (2015). Behavioral consequences of selective damage to frontal pole and posterior cingulate cortices. Proc. Natl. Acad. Sci. U S A112, E3940–E3949. 10.1073/pnas.1422629112
37
MansouriF. A.MatsumotoK.TanakaK. (2006). Prefrontal cell activities related to monkeys’ success and failure in adapting to rule changes in a Wisconsin Card Sorting Test analog. J. Neurosci.26, 2745–2756. 10.1523/jneurosci.5238-05.2006
38
MastermanD. L.CummingsJ. L. (1997). Frontal-subcortical circuits: the anatomic basis of executive, social and motivated behaviors. J. Psychopharmacol.11, 107–114. 10.1177/026988119701100203
39
MedallaM.BarbasH. (2010). Anterior cingulate synapses in prefrontal areas 10 and 46 suggest differential influence in cognitive control. J. Neurosci.30, 16068–16081. 10.1523/jneurosci.1773-10.2010
40
MianM. K.ShethS. A.PatelS. R.SpiliopoulosK.EskandarE. N.WilliamsZ. M. (2012). Encoding of rules by neurons in the human dorsolateral prefrontal cortex. Cereb. Cortex6, 1–10. 10.1093/cercor/bhs361
41
MillerE.EricksonC.DesimoneR. (1996). Neural mechanisms of visual working memory in prefrontal cortex of the macaque. J. Neurosci.16, 5154–5167.
42
MonchiO.PetridesM.PetreV.WorsleyK.DagherA. (2001). Wisconsin Card Sorting revisited: distinct neural circuits participating in different stages of the task identified by event-related functional magnetic resonance imaging. J. Neurosci.21, 7733–7741. 10.1016/s1053-8119(01)91791-4
43
MushiakeH.SaitoN.SakamotoK.ItoyamaY.TanjiJ. (2006). Activity in the lateral prefrontal cortex reflects multiple steps of future events in action plans. Neuron50, 631–641. 10.1016/j.neuron.2006.03.045
44
NeubertF. X.MarsR. B.ThomasA. G.SalletJ.RushworthM. F. S. (2014). Comparison of human ventral frontal cortex areas for cognitive control and language with areas in monkey frontal cortex. Neuron81, 700–713. 10.1016/j.neuron.2013.11.012
45
OkudaJ.FujiiT.OhtakeH.TsukiuraT.YamadoriA.FrithC. D.et al. (2007). Differential involvement of regions of rostral prefrontal cortex (Brodmann area 10) in time- and event-based prospective memory. Int. J. Psychophysiol.64, 233–246. 10.1016/j.ijpsycho.2006.09.009
46
OngürD.FerryA. T.PriceJ. L. (2003). Architectonic subdivision of the human orbital and medial prefrontal cortex. J. Comp. Neurol.460, 425–449. 10.1002/cne.10609
47
PassinghamR. (1975). Delayed matching after selective prefrontal lesions in monkeys (Macaca mulatta). Brain Res.92, 89–102. 10.1016/0006-8993(75)90529-6
48
PetrieA. (1952). Personality and the Frontal Lobes.London: Routledge & Kegan Paul.
49
PetridesM. (2000). The role of the mid-dorsolateral prefrontal cortex in working memory. Exp. Brain Res.133, 44–54. 10.1007/978-3-642-59794-7_6
50
PetridesM. (2005). Lateral prefrontal cortex: architectonic and functional organization. Philos. Trans. R. Soc. Lond. B. Biol. Sci.360, 781–795. 10.1098/rstb.2005.1631
51
PetridesM.PandyaD. (2002). “Association pathways of the prefrontal cortex and functional observations,” in Principles of Frontal Lobe Function, eds StussD. T.KnightR. T. (New York: Oxford University Press), 31–50. 10.1093/acprof:oso/9780195134971.003.0003
52
PetridesM.PandyaD. N. (1999). Dorsolateral prefrontal cortex: comparative cytoarchitectonic analysis in the human and the macaque brain and corticocortical connection patterns. Eur. J. Neurosci.11, 1011–1036. 10.1046/j.1460-9568.1999.00518.x
53
PetridesM.PandyaD. N. (2007). Efferent association pathways from the rostral prefrontal cortex in the macaque monkey. J. Neurosci.27, 11573–11586. 10.1523/jneurosci.2419-07.2007
54
RoweJ. B.SakaiK.LundT. E.RamsøyT.ChristensenM. S.BaareW. F. C.et al. (2007). Is the prefrontal cortex necessary for establishing cognitive sets?J. Neurosci.27, 13303–13310. 10.3410/f.1098241.554257
55
RoweJ. B.ToniI.JosephsO.FrackowiakR. S.PassinghamR. E. (2000). The prefrontal cortex: response selection or maintenance within working memory?Science288, 1656–1660. 10.1126/science.288.5471.1656
56
SakaiK. (2007). “Maintenance and implementation of task rules,” in Neuroscience of Rule-Guided Behavior, eds BungeS. A.WallisJ. D. (New York: Oxford University Press), 67–80. 10.1093/acprof:oso/9780195314274.003.0005
57
SakaiK.PassinghamR. E. (2006). Prefrontal set activity predicts rule-specific neural processing during subsequent cognitive performance. J. Neurosci.26, 1211–1218. 10.1523/jneurosci.3887-05.2006
58
SalletJ.MarsR. B.NoonanM. P.NeubertF. X.JbabdiS.O’ReillyJ. X.et al. (2013). The organization of dorsal frontal cortex in humans and macaques. J. Neurosci.33, 12255–12274. 10.1523/jneurosci.5108-12.2013
59
SawaguchiT.YamaneI. (1999). Properties of delay-period neuronal activity in the monkey dorsolateral prefrontal cortex during a spatial delayed matching-to-sample task. J. Neurophysiol.82, 2070–2080.
60
StrangeB. A.HensonR. N.FristonK. J.DolanR. J. (2001). Anterior prefrontal cortex mediates rule learning in humans. Cereb. Cortex11, 1040–1046. 10.1093/cercor/11.11.1040
61
TsujimotoS.GenovesioA.WiseS. P. (2010). Evaluating self-generated decisions in frontal pole cortex of monkeys. Nat. Neurosci.13, 120–126. 10.1038/nn.2453
62
Thompson-SchillS. L.JonidesJ.MarshuetzC.SmithE. E. D’EspositoM.KanI. P.et al (2002). Effects of frontal lobe damage on interference effects in working memory. Cogn. Affect. Behav. Neurosci.2, 109–120. 10.3758/cabn.2.2.109
63
TsujimotoS.GenovesioA.WiseS. P. (2011). Comparison of strategy signals in the dorsolateral and orbital prefrontal cortex. J. Neurosci.31, 4583–4592. 10.1523/jneurosci.5816-10.2011
64
TsujimotoS.GenovesioA.WiseS. P. (2012). Neuronal activity during a cued strategy task: comparison of dorsolateral, orbital and polar prefrontal cortex. J. Neurosci.32, 11017–11031. 10.1523/jneurosci.1230-12.2012
65
VolleE.Gonen-YaacoviG.CostelloA. L.GilbertS. J.BurgessP. W. (2011). The role of rostral prefrontal cortex in prospective memory: A voxel-based lesion study. Neuropsychologia49, 2185–2198. 10.1016/j.neuropsychologia.2011.02.045
66
WalkerA. E. (1940). A cytoarchitectural study of the prefrontal area of the macaque monkey. The J. Comp. Neurol.7, 59–86. 10.1002/cne.900730106
67
WallisJ. D.AndersonK. C.MillerE. K. (2001). Single neurons in prefrontal cortex encode abstract rules. Nature411, 953–956. 10.1038/35082081
68
WhiteI. M.WiseS. P. (1999). Rule-dependent neuronal activity in the prefrontal cortex. Exp. Brain Res.126, 315–335. 10.1007/s002210050740
69
WilsonC. R. E.GaffanD.BrowningP. G. F.BaxterM. G. (2010). Functional localization within the prefrontal cortex: Missing the forest for the trees?Trends Neurosci.33, 533–540. 10.1016/j.tins.2010.08.001
70
YeterianE. H.PandyaD. N.TomaiuoloF.PetridesM. (2012). The cortical connectivity of the prefrontal cortex in the monkey brain. Cortex48, 58–81. 10.1016/j.cortex.2011.03.004
Summary
Keywords
prefrontal cortex, frontopolar cortex, dorsolateral prefrontal, delay, valuation
Citation
Boschin EA and Buckley MJ (2015) Differential contributions of dorsolateral and frontopolar cortices to working memory processes in the primate. Front. Syst. Neurosci. 9:144. doi: 10.3389/fnsys.2015.00144
Received
20 August 2015
Accepted
05 October 2015
Published
29 October 2015
Volume
9 - 2015
Edited by
Zsuzsa Kaldy, University of Massachusetts Boston, USA
Reviewed by
Satoshi Tsujimoto, Kyoto University, Japan; Maria Medalla, Boston University, USA
Updates

Check for updates
Copyright
© 2015 Boschin and Buckley.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Erica A. Boschin erica.boschin@psy.ox.ac.uk;Mark J. Buckley buckley@psy.ox.ac.uk
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.