Suriya-Arunroj, Lalitta

[["dc.bibliographiccitation.artnumber","315"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Frontiers in Behavioral Neuroscience"],["dc.bibliographiccitation.lastpage","19"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Suriya-Arunroj, Lalitta"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:48Z"],["dc.date.available","2017-09-07T11:47:48Z"],["dc.date.issued","2015"],["dc.description.abstract","According to an emerging view, decision-making, and motor planning are tightly entangled at the level of neural processing. Choice is influenced not only by the values associated with different options, but also biased by other factors. Here we test the hypothesis that preliminary action planning can induce choice biases gradually and independently of objective value when planning overlaps with one of the potential action alternatives. Subjects performed center-out reaches obeying either a clockwise or counterclockwise cue-response rule in two tasks. In the probabilistic task, a pre-cue indicated the probability of each of the two potential rules to become valid. When the subsequent rule-cue unambiguously indicated which of the pre-cued rules was actually valid (instructed trials), subjects responded faster to rules pre-cued with higher probability. When subjects were allowed to choose freely between two equally rewarded rules (choice trials) they chose the originally more likely rule more often and faster, despite the lack of an objective advantage in selecting this target. In the amount task, the pre-cue indicated the amount of potential reward associated with each rule. Subjects responded faster to rules pre-cued with higher reward amount in instructed trials of the amount task, equivalent to the more likely rule in the probabilistic task. Yet, in contrast, subjects showed hardly any choice bias and no increase in response speed in favor of the original high-reward target in the choice trials of the amount task. We conclude that free-choice behavior is robustly biased when predictability encourages the planning of one of the potential responses, while prior reward expectations without action planning do not induce such strong bias. Our results provide behavioral evidence for distinct contributions of expected value and action planning in decision-making and a tight interdependence of motor planning and action selection, supporting the idea that the underlying neural mechanisms overlap."],["dc.identifier.doi","10.3389/fnbeh.2015.00315"],["dc.identifier.gro","3150735"],["dc.identifier.pmid","26635565"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12737"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7524"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1662-5153"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","I Plan Therefore I Choose: Free-Choice Bias Due to Prior Action-Probability but Not Action-Value"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","eLife"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Suriya-Arunroj, Lalitta"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2020-12-10T18:48:08Z"],["dc.date.available","2020-12-10T18:48:08Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.7554/eLife.47581"],["dc.identifier.eissn","2050-084X"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16619"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/79028"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Complementary encoding of priors in monkey frontoparietal network supports a dual process of decision-making"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","jn.00504.2017"],["dc.bibliographiccitation.journal","Journal of Neurophysiology"],["dc.contributor.author","Ferrea, Enrico"],["dc.contributor.author","Suriya-Arunroj, Lalitta"],["dc.contributor.author","Hoehl, Dirk"],["dc.contributor.author","Thomas, Uwe"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2018-01-17T13:11:01Z"],["dc.date.available","2018-01-17T13:11:01Z"],["dc.date.issued","2017"],["dc.description.abstract","Acute neuronal recordings performed with metal microelectrodes in non-human primates allow investigating the neural substrate of complex cognitive behaviors. Yet, the daily re-insertion and positioning of the electrodes prevents recording from many neurons simultaneously, limiting the suitability of these types of recordings for brain-computer-interface applications or for large-scale population statistical methods on a trial-by-trial basis. In contrast, chronically implanted multi-electrode arrays offer the opportunity to record from many neurons simultaneously, but immovable electrodes prevent optimization of the signal during and after implantation and cause the tissue response to progressively impair the transduced signal quality, thereby limiting the number of different neurons that can be recorded over the lifetime of the implant. Semi-chronically implanted matrices of electrodes, instead, allow individually movable electrodes in depth and achieve higher channel count compared to acute methods, hence partially overcome these limitations. Existing semi-chronic systems with higher channel count lack computerized control of electrode movements, leading to limited user-friendliness and uncertainty in depth-positioning. Here we demonstrate a chronically-implantable Adaptive Multi-Electrode Positioning (AMEP) system with detachable drive for computerized depth-adjustment of individual electrodes over several millimeters. This semi-chronic 16-channel system is designed to optimize the simultaneous yield of units in an extended period following implantation since the electrodes can be independently depth-adjusted with minimal effort and their signal quality continuously assessed. Importantly, the electrode array is designed to remain within a chronic recording chamber for a prolonged time, or can be used for acute recordings with high signal-to-noise ratio in the cerebral cortex of non-human primates."],["dc.identifier.doi","10.1152/jn.00504.2017"],["dc.identifier.pmid","29187552"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/11704"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.eissn","1522-1598"],["dc.title","Implantable computer-controlled adaptive multi-electrode positioning system (AMEP)"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]