All Publications

  • Mouse entorhinal cortex encodes a diverse repertoire of self-motion signals. Nature communications Mallory, C. S., Hardcastle, K., Campbell, M. G., Attinger, A., Low, I. I., Raymond, J. L., Giocomo, L. M. 2021; 12 (1): 671


    Neural circuits generate representations of the external world from multiple information streams. The navigation system provides an exceptional lens through which we may gain insights about how such computations are implemented. Neural circuits in the medial temporal lobe construct a map-like representation of space that supports navigation. This computation integrates multiple sensory cues, and, in addition, is thought to require cues related to the individual's movement through the environment. Here, we identify multiple self-motion signals, related to the position and velocity of the head and eyes, encoded by neurons in a key node of the navigation circuitry of mice, the medial entorhinal cortex (MEC). The representation of these signals is highly integrated with other cues in individual neurons. Such information could be used to compute the allocentric location of landmarks from visual cues and to generate internal representations of space.

    View details for DOI 10.1038/s41467-021-20936-8

    View details for PubMedID 33510164

  • Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation NATURE NEUROSCIENCE Campbell, M. G., Ocko, S. A., Mallory, C. S., Low, I. C., Ganguli, S., Giocomo, L. M. 2018; 21 (8): 1096-+
  • Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation. Nature neuroscience Campbell, M. G., Ocko, S. A., Mallory, C. S., Low, I. I., Ganguli, S., Giocomo, L. M. 2018


    To guide navigation, the nervous system integrates multisensory self-motion and landmark information. We dissected how these inputs generate spatial representations by recording entorhinal grid, border and speed cells in mice navigating virtual environments. Manipulating the gain between the animal's locomotion and the visual scene revealed that border cells responded to landmark cues while grid and speed cells responded to combinations of locomotion, optic flow and landmark cues in a context-dependent manner, with optic flow becoming more influential when it was faster than expected. A network model explained these results by revealing a phase transition between two regimes in which grid cells remain coherent with or break away from the landmark reference frame. Moreover, during path-integration-based navigation, mice estimated their position following principles predicted by our recordings. Together, these results provide a theoretical framework for understanding how landmark and self-motion cues combine during navigation to generate spatial representations and guide behavior.

    View details for PubMedID 30038279

  • Gpr126 Is Critical for Schwann Cell Function during Peripheral Nerve Regeneration. The Journal of neuroscience : the official journal of the Society for Neuroscience Fernandez, C. n., Iyer, M. n., Low, I. n. 2017; 37 (12): 3106–8

    View details for PubMedID 28330980