Browsing CBMM Memo Series by Subject "Neuroscience"

Now showing items 1-7 of 7

    • The Compositional Nature of Event Representations in the Human Brain 

      Barbu, Andrei; Narayanaswamy, Siddharth; Xiong, Caiming; Corso, Jason J.; Fellbaum, Christiane D.; e.a. (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-07-14)
      How does the human brain represent simple compositions of constituents: actors, verbs, objects, directions, and locations? Subjects viewed videos during neuroimaging (fMRI) sessions from which sentential descriptions of ...

    • A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation 

      Linderman, Scott W.; Johnson, Matthew J.; Wilson, Matthew A.; Chen, Zhe (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-12-01)
      Rodent hippocampal population codes represent important spatial information about the environment during navigation. Several computational methods have been developed to uncover the neural representation of spatial topology ...

    • A normalization model of visual search predicts single trial human fixations in an object search task. 

      Miconi, Thomas; Groomes, Laura; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
      When searching for an object in a scene, how does the brain decide where to look next? Theories of visual search suggest the existence of a global attentional map, computed by integrating bottom-up visual information with ...

    • A role for recurrent processing in object completion: neurophysiological, psychophysical and computational evidence. 

      Tang, Hanlin; Buia, Calin; Madsen, Joseph R.; Anderson, William S.; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-26)
      Recognition of objects from partial information presents a significant challenge for theories of vision because it requires spatial integration and extrapolation from prior knowledge. We combined neurophysiological recordings ...

    • Sensitivity to Timing and Order in Human Visual Cortex. 

      Singer, Jedediah M.; Madsen, Joseph R.; Anderson, William S.; Kreiman, Gabriel (Center for Brains, Minds and Machines (CBMM), arXiv, 2014-04-25)
      Visual recognition takes a small fraction of a second and relies on the cascade of signals along the ventral visual stream. Given the rapid path through multiple processing steps between photoreceptors and higher visual ...

    • Simultaneous whole‐animal 3D imaging of neuronal activity using light‐field microscopy 

      Prevedel, Robert; Yoon, Young-Gyu; Hoffman, Maximilian; Pak, Nikita; Wetzstein, Gordon; e.a. (Center for Brains, Minds and Machines (CBMM), 2014-05-18)
      High-speed, large-scale three-dimensional (3D) imaging of neuronal activity poses a major challenge in neuroscience. Here we demonstrate simultaneous functional imaging of neuronal activity at single-neuron resolution in ...

    • UNSUPERVISED LEARNING OF VISUAL STRUCTURE USING PREDICTIVE GENERATIVE NETWORKS 

      Lotter, William; Kreiman, Gabriel; Cox, David (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-12-15)
      The ability to predict future states of the environment is a central pillar of intelligence. At its core, effective prediction requires an internal model of the world and an understanding of the rules by which the world ...