Scherberger, Hansjörg

[["dc.bibliographiccitation.firstpage","15175"],["dc.bibliographiccitation.issue","45"],["dc.bibliographiccitation.journal","The Journal of neuroscience"],["dc.bibliographiccitation.lastpage","15184"],["dc.bibliographiccitation.volume","30"],["dc.contributor.author","Fluet, M.-C."],["dc.contributor.author","Baumann, M. A."],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2017-09-07T11:53:55Z"],["dc.date.available","2017-09-07T11:53:55Z"],["dc.date.issued","2010"],["dc.description.abstract","Hand grasping requires the transformation of sensory signals to hand movements. Neurons in area F5 (ventral premotor cortex) represent specific grasp movements (e.g., precision grip) as well as object features like orientation, and are involved in movement preparation and execution. Here, we examined how F5 neurons represent context-dependent grasping actions in macaques. We used a delayed grasping task in which animals grasped a handle either with a power or a precision grip depending on context information. Additionally, object orientation was varied to investigate how visual object features are integrated with context information. In 420 neurons from two animals, object orientation and grip type were equally encoded during the instruction epoch (27% and 26% of all cells, respectively). While orientation representation dropped during movement execution, grip type representation increased (20% vs 43%). According to tuning onset and offset, we classified neurons as sensory, sensorimotor, or motor. Grip type tuning was predominantly sensorimotor (28%) or motor (25%), whereas orientation-tuned cells were mainly sensory (11%) or sensorimotor (15%) and often also represented grip type (86%). Conversely, only 44% of grip-type tuned cells were also orientation-tuned. Furthermore, we found marked differences in the incidence of preferred conditions (power vs precision grips and middle vs extreme orientations) and in the anatomical distribution of the various cell classes. These results reveal important differences in how grip type and object orientation is processed in F5 and suggest that anatomically and functionally separable cell classes collaborate to generate hand grasping commands."],["dc.identifier.doi","10.1523/jneurosci.3343-10.2010"],["dc.identifier.gro","3151412"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8211"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0270-6474"],["dc.title","Context-Specific Grasp Movement Representation in Macaque Ventral Premotor Cortex"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Scherberger, Hansjörg"],["dc.contributor.author","Leder, O."],["dc.date.accessioned","2017-11-20T15:46:35Z"],["dc.date.available","2017-11-20T15:46:35Z"],["dc.date.issued","1996"],["dc.format.extent","58"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/10105"],["dc.language.iso","de"],["dc.notes.status","new -primates"],["dc.relation.isbn","3-9805054-1-3"],["dc.relation.ispartof","4th Workshop Digitale Bildverarbeitung in der Medizin"],["dc.title","Stereologie mit Hilfe digitaler Rekonstruktion: Zur Geometrie des Schweineleberläppchens [Stereology with digital reconstruction: on the geometry of the pig liver lobule]"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e15719"],["dc.bibliographiccitation.journal","eLife"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Dann, Benjamin"],["dc.contributor.author","Michaels, Jonathan A."],["dc.contributor.author","Schaffelhofer, Stefan"],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2016-10-20T12:02:12Z"],["dc.date.accessioned","2021-10-27T13:12:53Z"],["dc.date.available","2016-10-20T12:02:12Z"],["dc.date.available","2021-10-27T13:12:53Z"],["dc.date.issued","2016-08-15"],["dc.description.abstract","The functional communication of neurons in cortical networks underlies higher cognitive processes. Yet, little is known about the organization of the single neuron network or its relationship to the synchronization processes that are essential for its formation. Here, we show that the functional single neuron network of three fronto-parietal areas during active behavior of macaque monkeys is highly complex. The network was closely connected (small-world) and consisted of functional modules spanning these areas. Surprisingly, the importance of different neurons to the network was highly heterogeneous with a small number of neurons contributing strongly to the network function (hubs), which were in turn strongly inter-connected (rich-club). Examination of the network synchronization revealed that the identified rich-club consisted of neurons that were synchronized in the beta or low frequency range, whereas other neurons were mostly non-oscillatory synchronized. Therefore, oscillatory synchrony may be a central communication mechanism for highly organized functional spiking networks."],["dc.identifier.doi","10.7554/eLife.15719"],["dc.identifier.fs","622743"],["dc.identifier.gro","3151420"],["dc.identifier.pmid","27525488"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13789"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91731"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.euproject","NEBIAS"],["dc.relation.issn","2050-084X"],["dc.relation.orgunit","Deutsches Primatenzentrum"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Uniting functional network topology and oscillations in the fronto-parietal single unit network of behaving primates."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Andersen, Richard A."],["dc.contributor.author","Burdick, J. W."],["dc.contributor.author","Musallam, S."],["dc.contributor.author","Scherberger, Hansjörg"],["dc.contributor.author","Pesaran, B."],["dc.contributor.author","Meeker, D."],["dc.contributor.author","Corneil, B. D."],["dc.contributor.author","Fineman, I."],["dc.contributor.author","Nenadic, Z."],["dc.contributor.author","Branchaud, E."],["dc.contributor.author","Cham, J. G."],["dc.contributor.author","Greger, B."],["dc.contributor.author","Tai, Y. C."],["dc.contributor.author","Mojarradi, M. M."],["dc.date.accessioned","2017-09-07T11:53:55Z"],["dc.date.available","2017-09-07T11:53:55Z"],["dc.date.issued","2005"],["dc.description.abstract","An important challenge for neural prosthetics research is to record from populations of neurons over long periods of time, ideally for the lifetime of the patient. Two new advances toward this goal are described, the use of local field potentials (LFPs) and autonomously positioned recording electrodes. LFPs are the composite extracellular potential field from several hundreds of neurons around the electrode tip. LFP recordings can be maintained for longer periods of time than single cell recordings. We find that similar information can be decoded from LFP and spike recordings, with better performance for state decodes with LFPs and, depending on the area, equivalent or slightly less than equivalent performance for signaling the direction of planned movements. Movable electrodes in microdrives can be adjusted in the tissue to optimize recordings, but their movements must be automated to be a practical benefit to patients. We have developed automation algorithms and a meso-scale autonomous electrode testbed, and demonstrated that this system can autonomously isolate and maintain the recorded signal quality of single cells in the cortex of awake, behaving monkeys. These two advances show promise for developing very long term recording for neural prosthetic applications."],["dc.identifier.doi","10.1109/iembs.2004.1404494"],["dc.identifier.gro","3151410"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8209"],["dc.language.iso","en"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","chake"],["dc.publisher","IEEE"],["dc.relation.isbn","0-7803-8439-3"],["dc.relation.ispartof","The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society"],["dc.title","Recording advances for neural prosthetics"],["dc.type","conference_paper"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","5759"],["dc.bibliographiccitation.issue","25"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","5773"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Michaels, Jonathan A."],["dc.contributor.author","Dann, Benjamin"],["dc.contributor.author","Intveld, Rijk W."],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2020-12-10T18:42:35Z"],["dc.date.available","2020-12-10T18:42:35Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1523/JNEUROSCI.2557-17.2018"],["dc.identifier.eissn","1529-2401"],["dc.identifier.issn","0270-6474"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78017"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Neural Dynamics of Variable Grasp-Movement Preparation in the Macaque Frontoparietal Network"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Scherberger, Hansjörg"],["dc.contributor.editor","Wolpaw, Jonathan"],["dc.contributor.editor","Winter Wolpaw, Elizabeth"],["dc.date.accessioned","2017-09-07T11:53:56Z"],["dc.date.available","2017-09-07T11:53:56Z"],["dc.date.issued","2012"],["dc.description.abstract","This chapter reviews the roles of the parietal and premotor cortices in motor planning and discusses brain-computer interface (BCI) studies that have focused on these brain areas. BCIs based on recordings from both parietal cortex and premotor cortex have the potential to benefit people with paralysis by providing high-level, goal-related information to drive movement of a computer cursor, a robotic arm, or a prosthesis. Since we have a reasonable understanding of the principles of how movement intentions are represented in the premotor and parietal planning areas, it should be possible to decode them by recording simultaneously and in real time from a large number of neurons."],["dc.identifier.doi","10.1093/acprof:oso/9780195388855.003.0017"],["dc.identifier.gro","3151424"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8224"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.publisher","Oxford University Press"],["dc.relation.isbn","978-0-19538-885-5"],["dc.relation.ispartof","Brain–Computer InterfacesPrinciples and Practice"],["dc.title","BCIs That Use Signals Recorded in Parietal or Premotor Cortex"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","17985"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Intveld, Rijk W."],["dc.contributor.author","Dann, Benjamin"],["dc.contributor.author","Michaels, Jonathan A."],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2019-07-09T11:51:08Z"],["dc.date.available","2019-07-09T11:51:08Z"],["dc.date.issued","2018"],["dc.description.abstract","Considerable progress has been made over the last decades in characterizing the neural coding of hand shape, but grasp force has been largely ignored. We trained two macaque monkeys (Macaca mulatta) on a delayed grasping task where grip type and grip force were instructed. Neural population activity was recorded from areas relevant for grasp planning and execution: the anterior intraparietal area (AIP), F5 of the ventral premotor cortex, and the hand area of the primary motor cortex (M1). Grasp force was strongly encoded by neural populations of all three areas, thereby demonstrating for the first time the coding of grasp force in single- and multi-units of AIP. Neural coding of intended grasp force was most strongly represented in area F5. In addition to tuning analysis, a dimensionality reduction method revealed low-dimensional responses to grip type and grip force. Additionally, this method revealed a high correlation between latent variables of the neural population representing grasp force and the corresponding latent variables of electromyographic forearm muscle activity. Our results therefore suggest an important role of the cortical areas AIP, F5, and M1 in coding grasp force during movement execution as well as of F5 for coding intended grasp force."],["dc.identifier.doi","10.1038/s41598-018-35488-z"],["dc.identifier.pmid","30573765"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16056"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59882"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Neural coding of intended and executed grasp force in macaque areas AIP, F5, and M1"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","S105381192100495X"],["dc.bibliographiccitation.firstpage","118218"],["dc.bibliographiccitation.journal","NeuroImage"],["dc.bibliographiccitation.volume","238"],["dc.contributor.author","Greulich, R. Stefan"],["dc.contributor.author","Hüser, Timo"],["dc.contributor.author","Dörge, Matthias"],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2021-09-01T06:42:31Z"],["dc.date.available","2021-09-01T06:42:31Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1016/j.neuroimage.2021.118218"],["dc.identifier.pii","S105381192100495X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89076"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.issn","1053-8119"],["dc.title","PriMa: A low-cost, modular, open hardware, and 3D-printed fMRI manipulandum"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","495"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Vision Research"],["dc.bibliographiccitation.lastpage","505"],["dc.bibliographiccitation.volume","41"],["dc.contributor.author","Cabungcal, J. H."],["dc.contributor.author","Misslisch, H."],["dc.contributor.author","Scherberger, H."],["dc.contributor.author","Hepp, K."],["dc.contributor.author","Hess, B. J. M."],["dc.date.accessioned","2017-09-07T11:53:55Z"],["dc.date.available","2017-09-07T11:53:55Z"],["dc.date.issued","2001"],["dc.description.abstract","We examined three-dimensional eye positions in alertness and light sleep when monkeys were placed in different roll and pitch body orientations. In alertness, eye positions were confined to a fronto-parallel (Listing's) plane, torsional variability was small and static roll or pitch induced a torsional shift or vertical rotation of these planes. In light sleep, the planes rotated temporally by about 10°, torsional variability increased by a factor of two and the static otolith-ocular reflexes were reduced by about 70%. These data support the importance of a neural control of the thickness and orientation of Listing's plane, and suggest that part of the vestibular input underlying otolith-ocular reflexes depend on polysynaptic neural processing."],["dc.identifier.doi","10.1016/s0042-6989(00)00279-0"],["dc.identifier.gro","3151411"],["dc.identifier.pmid","11166052"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8210"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0042-6989"],["dc.title","Effect of light sleep on three-dimensional eye position in static roll and pitch"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","69"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Annual Review of Neuroscience"],["dc.bibliographiccitation.lastpage","86"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Janssen, Peter"],["dc.contributor.author","Scherberger, Hansjörg"],["dc.date.accessioned","2017-09-07T11:53:57Z"],["dc.date.available","2017-09-07T11:53:57Z"],["dc.date.issued","2015"],["dc.description.abstract","Humans and other primates possess a unique capacity to grasp and manipulate objects skillfully, a facility pervasive in everyday life that has undoubtedly contributed to the success of our species. When we reach and grasp an object, various cortical areas in the parietal and frontal lobes work together effortlessly to analyze object shape and position, transform this visual information into useful motor commands, and implement these motor representations to preshape the hand before contact with the object is made. In recent years, a growing number of studies have investigated the neural circuits underlying object grasping in both the visual and motor systems of the macaque monkey. The accumulated knowledge not only helps researchers understand how object grasping is implemented in the primate brain but may also contribute to the development of novel neural interfaces and neuroprosthetics."],["dc.identifier.doi","10.1146/annurev-neuro-071714-034028"],["dc.identifier.gro","3151422"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8222"],["dc.language.iso","en"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0147-006X"],["dc.title","Visual Guidance in Control of Grasping"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]