Gail, Alexander

[["dc.bibliographiccitation.firstpage","35"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Behavior Research Methods"],["dc.bibliographiccitation.lastpage","45"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Calapai, A."],["dc.contributor.author","Berger, M."],["dc.contributor.author","Niessing, M."],["dc.contributor.author","Heisig, K."],["dc.contributor.author","Brockhausen, R."],["dc.contributor.author","Treue, S."],["dc.contributor.author","Gail, A."],["dc.date.accessioned","2017-09-07T11:47:46Z"],["dc.date.available","2017-09-07T11:47:46Z"],["dc.date.issued","2016"],["dc.description.abstract","In neurophysiological studies with awake non-human primates (NHP), it is typically necessary to train the animals over a prolonged period of time on a behavioral paradigm before the actual data collection takes place. Rhesus monkeys (Macaca mulatta) are the most widely used primate animal models in system neuroscience. Inspired by existing joystick- or touch-screen-based systems designed for a variety of monkey species, we built and successfully employed a stand-alone cage-based training and testing system for rhesus monkeys (eXperimental Behavioral Intrument, XBI). The XBI is mobile and easy to handle by both experts and non-experts; animals can work with only minimal physical restraints, yet the ergonomic design successfully encourages stereotypical postures with a consistent positioning of the head relative to the screen. The XBI allows computer-controlled training of the monkeys with a large variety of behavioral tasks and reward protocols typically used in systems and cognitive neuroscience research."],["dc.identifier.doi","10.3758/s13428-016-0707-3"],["dc.identifier.gro","3150724"],["dc.identifier.pmid","26896242"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13181"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7512"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1554-3528"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","A cage-based training, cognitive testing and enrichment system optimized for rhesus macaques in neuroscience research"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","P116"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Klaes, Christian"],["dc.contributor.author","Schneegans, Sebastian"],["dc.contributor.author","Schöner, Gregor"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2011-07-22T22:26:02Z"],["dc.date.accessioned","2011-07-23T15:34:57Z"],["dc.date.accessioned","2021-10-27T13:12:55Z"],["dc.date.available","2011-07-22T22:26:02Z"],["dc.date.available","2011-07-23T15:34:57Z"],["dc.date.available","2021-10-27T13:12:55Z"],["dc.date.issued","2011"],["dc.date.updated","2011-07-22T22:26:02Z"],["dc.identifier.doi","10.1186/1471-2202-12-S1-P116"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6833"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91734"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.rights","CC BY 2.0"],["dc.rights.holder","et al.; licensee BioMed Central Ltd."],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.subject.ddc","599"],["dc.subject.ddc","599.8"],["dc.title","A neural field model of decision making in the posterior parietal cortex"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","519"],["dc.bibliographiccitation.issue","3-5"],["dc.bibliographiccitation.journal","Visual Cognition"],["dc.bibliographiccitation.lastpage","530"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Eckhorn, Reinhard"],["dc.contributor.author","Bruns, Andreas"],["dc.contributor.author","Saam, Mirko"],["dc.contributor.author","Gail, Alexander"],["dc.contributor.author","Gabriel, Andreas"],["dc.contributor.author","Brinksmeyer, Hans Jörg"],["dc.date.accessioned","2017-09-07T11:47:50Z"],["dc.date.available","2017-09-07T11:47:50Z"],["dc.date.issued","2002"],["dc.description.abstract","We summarize recent studies of our group from the primary visual cortex V1 of behaving monkeys referring to the hypothesis of spatial feature binding by γ-synchronization (30-90 Hz). In agreement with this hypothesis the data demonstrates decoupling of γ-activities among neural groups representing figure and ground. As γ-synchronization in V1 is restricted to cortical ranges of few millimeters, feature binding may equivalently be restricted in visual space. Closer inspection shows that the restriction in synchrony is due to far-reaching travelling γ-waves with changing phase coupling. Based on this observation we extend the initial binding-by-synchronization hypothesis and suggest object continuity to be coded by phase continuity. It is further argued that the spatial phase changes of the V1 γ-waves in general will also limit lateral phase coupling to higher levels of processing. Instead of phase-locked γ-coupling, corticocortical cooperation among γ-processes may be mediated by mutual amplitude modulations that are more reliable than phase synchrony over larger distances. The relevance of this concept of corticocortical binding is demonstrated with subdural recordings from human subjects performing cognitive tasks. The experimental results are discussed on the basis of network models with spiking neurons."],["dc.identifier.doi","10.1080/13506280143000098"],["dc.identifier.gro","3150728"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7516"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","1350-6285"],["dc.title","Flexible cortical gamma-band correlations suggest neural principles of visual processing"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","287"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Experimental Brain Research"],["dc.bibliographiccitation.lastpage","296"],["dc.bibliographiccitation.volume","208"],["dc.contributor.author","Westendorff, Stephanie"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:48Z"],["dc.date.available","2017-09-07T11:47:48Z"],["dc.date.issued","2010"],["dc.description.abstract","Reach movement planning involves the representation of spatial target information in different reference frames. Neurons at parietal and premotor stages of the cortical sensorimotor system represent target information in eye- or hand-centered reference frames, respectively. How the different neuronal representations affect behavioral parameters of motor planning and control, i.e. which stage of neural representation is relevant for which aspect of behavior, is not obvious from the physiology. Here, we test with a behavioral experiment if different kinematic movement parameters are affected to a different degree by either an eye- or hand-reference frame. We used a generalized anti-reach task to test the influence of stimulus-response compatibility (SRC) in eye- and hand-reference frames on reach reaction times, movement times, and endpoint variability. While in a standard anti-reach task, the SRC is identical in the eye- and hand-reference frames, we could separate SRC for the two reference frames. We found that reaction times were influenced by the SRC in eye- and hand-reference frame. In contrast, movement times were only influenced by the SRC in hand-reference frame, and endpoint variability was only influenced by the SRC in eye-reference frame. Since movement time and endpoint variability are the result of planning and control processes, while reaction times are consequences of only the planning process, we suggest that SRC effects on reaction times are highly suited to investigate reference frames of movement planning, and that eye- and hand-reference frames have distinct effects on different phases of motor action and different kinematic movement parameters."],["dc.identifier.doi","10.1007/s00221-010-2481-2"],["dc.identifier.gro","3150734"],["dc.identifier.pmid","21076817"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7523"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","0014-4819"],["dc.title","What is ‘anti’ about anti-reaches? Reference frames selectively affect reaction times and endpoint variability"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","840"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Cerebral Cortex"],["dc.bibliographiccitation.lastpage","850"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Gail, Alexander"],["dc.contributor.author","Brinksmeyer, Hans Jörg"],["dc.contributor.author","Eckhorn, Reinhard"],["dc.date.accessioned","2017-09-07T11:47:47Z"],["dc.date.available","2017-09-07T11:47:47Z"],["dc.date.issued","2002"],["dc.description.abstract","Previous work on figure–ground coding in monkey V1 revealed enhanced spike rates within an object's surface representation, synchronization of gamma oscillations (γ = 35–90 Hz) in object and background regions, but no decrease in signal correlation across the representation of a contour. The latter observation seems to contradict previous statements on the role of γ-synchronization for scene segmentation. We re-examine these findings by analyzing different coupling measures and frequency ranges of population activities potentially contributing to figure–ground segregation. Multiple unit activity (MUA) and local field potentials (LFPs) were recorded by parallel μ-electrodes in monkey V1 during stimulation by a grating in which an object was defined by a shifted rectangle. In contradiction to the conclusions in previous work, we find strong decoupling of population activity between figure and ground representations compared to the situation in which the object is absent. In particular, coherence of lateγ-LFPs is strongly reduced, while reduction is absent during the early epochs of high-amplitude transients for LFP- and MUA-coherence at all frequencies, and at low frequencies also in the subsequent epochs. Our results of decoupling in late LFP γ-components among figure and ground representations suggest that these signals may support figure–ground segregation."],["dc.identifier.doi","10.1093/cercor/10.9.840"],["dc.identifier.gro","3150717"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7504"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","1460-2199"],["dc.title","Contour Decouples Gamma Activity Across Texture Representation in Monkey Striate Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["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.firstpage","2360"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","Journal of Neurophysiology"],["dc.bibliographiccitation.lastpage","2375"],["dc.bibliographiccitation.volume","113"],["dc.contributor.author","Westendorff, Stephanie"],["dc.contributor.author","Kuang, Shenbing"],["dc.contributor.author","Taghizadeh, Bahareh"],["dc.contributor.author","Donchin, Opher"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:49Z"],["dc.date.available","2017-09-07T11:47:49Z"],["dc.date.issued","2015"],["dc.description.abstract","Different error signals can induce sensorimotor adaptation during visually guided reaching, possibly evoking different neural adaptation mechanisms. Here we investigate reach adaptation induced by visual target errors without perturbing the actual or sensed hand position. We analyzed the spatial generalization of adaptation to target error to compare it with other known generalization patterns and simulated our results with a neural network model trained to minimize target error independent of prediction errors. Subjects reached to different peripheral visual targets and had to adapt to a sudden fixed-amplitude displacement (“jump”) consistently occurring for only one of the reach targets. Subjects simultaneously had to perform contralateral unperturbed saccades, which rendered the reach target jump unnoticeable. As a result, subjects adapted by gradually decreasing reach errors and showed negative aftereffects for the perturbed reach target. Reach errors generalized to unperturbed targets according to a translational rather than rotational generalization pattern, but locally, not globally. More importantly, reach errors generalized asymmetrically with a skewed generalization function in the direction of the target jump. Our neural network model reproduced the skewed generalization after adaptation to target jump without having been explicitly trained to produce a specific generalization pattern. Our combined psychophysical and simulation results suggest that target jump adaptation in reaching can be explained by gradual updating of spatial motor goal representations in sensorimotor association networks, independent of learning induced by a prediction-error about the hand position. The simulations make testable predictions about the underlying changes in the tuning of sensorimotor neurons during target jump adaptation."],["dc.identifier.doi","10.1152/jn.00483.2014"],["dc.identifier.gro","3150727"],["dc.identifier.pmid","25609106"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7515"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.issn","0022-3077"],["dc.title","Asymmetric generalization in adaptation to target displacement errors in humans and in a neural network model"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","923"],["dc.bibliographiccitation.journal","Frontiers in Human Neuroscience"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Taghizadeh, Bahareh"],["dc.contributor.author","Gail, Alexander"],["dc.date.accessioned","2017-09-07T11:47:48Z"],["dc.date.available","2017-09-07T11:47:48Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.3389/fnhum.2014.00923"],["dc.identifier.gro","3150736"],["dc.identifier.pmid","25447600"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7525"],["dc.language.iso","en"],["dc.notes.intern","DeepGreen Import"],["dc.notes.status","final"],["dc.relation.eissn","1662-5161"],["dc.relation.iserratumof","/handle/2/7509"],["dc.relation.issn","1662-5161"],["dc.rights","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Corrigendum: Spatial task context makes short-latency reaches prone to induced Roelofs illusion"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","erratum_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0202581"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Unakafov, Anton M."],["dc.contributor.author","Möller, Sebastian"],["dc.contributor.author","Kagan, Igor"],["dc.contributor.author","Gail, Alexander"],["dc.contributor.author","Treue, Stefan"],["dc.contributor.author","Wolf, Fred"],["dc.date.accessioned","2019-07-09T11:46:04Z"],["dc.date.available","2019-07-09T11:46:04Z"],["dc.date.issued","2018"],["dc.description.abstract","For humans and for non-human primates heart rate is a reliable indicator of an individual's current physiological state, with applications ranging from health checks to experimental studies of cognitive and emotional state. In humans, changes in the optical properties of the skin tissue correlated with cardiac cycles (imaging photoplethysmogram, iPPG) allow noncontact estimation of heart rate by its proxy, pulse rate. Yet, there is no established simple and non-invasive technique for pulse rate measurements in awake and behaving animals. Using iPPG, we here demonstrate that pulse rate in rhesus monkeys can be accurately estimated from facial videos. We computed iPPGs from eight color facial videos of four awake head-stabilized rhesus monkeys. Pulse rate estimated from iPPGs was in good agreement with reference data from a contact pulse-oximeter: the error of pulse rate estimation was below 5% of the individual average pulse rate in 83% of the epochs; the error was below 10% for 98% of the epochs. We conclude that iPPG allows non-invasive and non-contact estimation of pulse rate in non-human primates, which is useful for physiological studies and can be used toward welfare-assessment of non-human primates in research."],["dc.identifier.doi","10.1371/journal.pone.0202581"],["dc.identifier.pmid","30169537"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15392"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59375"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","In goescholar not merged with http://resolver.sub.uni-goettingen.de/purl?gs-1/15694 but duplicate"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Using imaging photoplethysmography for heart rate estimation in non-human primates"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","9490"],["dc.bibliographiccitation.issue","30"],["dc.bibliographiccitation.journal","The Journal of neuroscience"],["dc.bibliographiccitation.lastpage","9499"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Gail, Alexander"],["dc.contributor.author","Klaes, Christian"],["dc.contributor.author","Westendorff, Stephanie"],["dc.date.accessioned","2017-09-07T11:47:44Z"],["dc.date.available","2017-09-07T11:47:44Z"],["dc.date.issued","2009"],["dc.description.abstract","Planning goal-directed movements requires the combination of visuospatial with abstract contextual information. Our sensory environment constrains possible movements to a certain extent. However, contextual information guides proper choice of action in a given situation and allows flexible mapping of sensory instruction cues onto different motor actions. We used anti-reach tasks to test the hypothesis that spatial motor-goal representations in cortical sensorimotor areas are gain modulated by the behavioral context to achieve flexible remapping of spatial cue information onto arbitrary motor goals. We found that gain modulation of neuronal reach goal representations is commonly induced by the behavioral context in individual neurons of both, the parietal reach region (PRR) and the dorsal premotor cortex (PMd). In addition, PRR showed stronger directional selectivity during the planning of a reach toward a directly cued goal (pro-reach) compared with an inferred target (anti-reach). PMd, however, showed stronger overall activity during reaches toward inferred targets compared with directly cued targets. Based on our experimental evidence, we suggest that gain modulation is the computational mechanism underlying the integration of spatial and contextual information for flexible, rule-driven stimulus–response mapping, and thereby forms an important basis of goal-directed behavior. Complementary contextual effects in PRR versus PMd are consistent with the idea that posterior parietal cortex preferentially represents sensory-driven, “automatic” motor goals, whereas frontal sensorimotor areas are stronger engaged in the representation of rule-based, “inferred” motor goals."],["dc.identifier.doi","10.1523/jneurosci.1095-09.2009"],["dc.identifier.gro","3150713"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7500"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.relation.issn","0270-6474"],["dc.title","Implementation of Spatial Transformation Rules for Goal-Directed Reaching via Gain Modulation in Monkey Parietal and Premotor Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]