Browsing Kavliinstitutt for nevrovitenskap by Author "Dunn, Benjamin Adric"

Now showing items 1-10 of 10

    • Action Representation in the Mouse Parieto-Frontal Network 

      Tombaz, Tuce; Dunn, Benjamin Adric; Hovde, Karoline; Cubero, Ryan John Abat; Mimica, Bartul; Mamidanna, Pranav; Roudi, Yasser; Whitlock, Jonathan (Peer reviewed; Journal article, 2020)
      The posterior parietal cortex (PPC) and frontal motor areas comprise a cortical network supporting goal-directed behaviour, with functions including sensorimotor transformations and decision making. In primates, this network ...

    • Behavioral decomposition reveals rich encoding structure employed across neocortex in rats 

      Mimica, Bartul; Tombaz, Tuce; Battistin, Claudia; Fuglstad, Jingyi Guo; Dunn, Benjamin Adric; Whitlock, Jonathan Robert (Peer reviewed; Journal article, 2023)
      The cortical population code is pervaded by activity patterns evoked by movement, but it remains largely unknown how such signals relate to natural behavior or how they might support processing in sensory cortices where ...

    • Connecting the Dots: Integrating Visual Projections, Observational Learning, and Behavior Representation in Rodent Prefrontal Cortices 

      Rautio, Ida Välikangas (Doctoral theses at NTNU;2024:17, Doctoral thesis, 2024)
      The medial prefrontal cortex (mPFC) has been studied extensively across species, across functions and across experimental paradigms. Despite this, we still have not fully elucidated what this brain area truly does and how, ...

    • Correlations and functional connections in a population of grid cells 

      Dunn, Benjamin Adric; Mørreaunet, Maria; Roudi, Yasser (Journal article; Peer reviewed, 2015)
      We study the statistics of spike trains of simultaneously recorded grid cells in freely behaving rats. We evaluate pairwise correlations between these cells and, using a maximum entropy kinetic pairwise model (kinetic Ising ...

    • Evaluating the quality of pairwise maximum entropy models in large neural datasets 

      Kargård Olsen, Valdemar (Master thesis, 2023)
      En intuitiv og tiltrekkende modell for å beskrive aktiviteten i en populasjon av nevroner er den parevise maksimalentropi-modellen. Denne modellen har vist seg å være god til å finne de eksperimentelt observerte sannsynlighetene ...

    • Insights into the quantification and reporting of model-related uncertainty across different disciplines 

      Simmonds, Emily Grace; Dunn-Sigouin, Etienne; Adjei, Kwaku Peprah; Andersen, Christoffer Wold; Aspheim, Janne Cathrin Hetle; Battistin, Claudia; Bulso, Nicola; Christensen, Hannah M.; Cretois, Benjamin; Cubero, Ryan John Abat; Davidovich, Ivan Andres; Dickel, Lisa; Dunn, Benjamin Adric; Dyrstad, Karin; Einum, Sigurd; Giglio, Donata; Gjerløw, Haakon; Godefroidt, Amélie; González-Gil, Ricardo; Gonzalo Cogno, Soledad; Große, Fabian; Halloran, Paul; Jensen, Mari Fjalstad; Kennedy, John James; Langsæther, Peter Egge; Laverick, Jack H; Lederberger, Debora; Li, Camille; Mandeville, Elizabeth G; Mandeville, Caitlin; Moe, Espen; Schröder, Tobias Navarro; Nunan, David; Sicacha-Parada, Jorge; Simpson, Melanie Rae; Skarstein, Emma Sofie; Spensberger, Clemens; Stevens, Richard; Subramanian, Aneesh C.; Svendsen, Lea; Theisen, Ole Magnus; Watret, Connor; O'Hara, Robert B. (Peer reviewed; Journal article, 2022)
      Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world ...

    • Learning with unknowns: analyzing biological data in the presence of hidden variables 

      Battistin, Claudia; Dunn, Benjamin Adric; Roudi, Yasser (Journal article, 2017)
      Despite our improved ability to probe biological systems at a higher spatio-temporal resolution, the high dimensionality of the biological systems often prevents sufficient sampling of the state space. Even with large scale ...

    • The appropriateness of ignorance in the inverse kinetic Ising model 

      Dunn, Benjamin Adric; Battistin, Claudia (Journal article; Peer reviewed, 2017)
      We develop efficient ways to consider and correct for the effects of hidden units for the paradigmatic case of the inverse kinetic Ising model with fully asymmetric couplings. We identify two sources of error in reconstructing ...

    • Toroidal topology of population activity in grid cells 

      Gardner, Richard J.; Hermansen, Erik; Pachitariu, Marius; Burak, Yoram; Baas, Nils A.; Dunn, Benjamin Adric; Moser, May-Britt; Moser, Edvard Ingjald (Journal article; Peer reviewed, 2022)
      The medial entorhinal cortex is part of a neural system for mapping the position of an individual within a physical environment1. Grid cells, a key component of this system, fire in a characteristic hexagonal pattern of ...

    • Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model 

      Spreemann, Gard; Dunn, Benjamin Adric; Botnan, Magnus; Baas, Nils A. (Journal article; Peer reviewed, 2018)
      We propose a method, based on persistent homology, to uncover topological properties of a priori unknown covariates in a system governed by the kinetic Ising model with time-varying external fields. As its starting point ...