How is information about location, direction, and distance integrated in the grid cell network?
Sargolini, Francesca, Marianne Fyhn, Torkel Hafting, Bruce L. McNaughton, Menno P. Witter, May-Britt Moser, and Edvard I. Moser. “Conjunctive representation of position, direction, and velocity in entorhinal cortex.” Science 312, no. 5774 (2006): 758-762.
Abstract
Grid cells in …
Whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments?
Robert G K Munn, Caitlin S Mallory, Kiah Hardcastle, Dane M Chetkovich, Lisa M Giocomo. Entorhinal velocity signals reflect environmental geometry. bioRxiv 671222; doi: https://doi.org/10.1101/671222
Summary
The entorhinal cortex contains neural signals for representing self-location, including grid cells that …
How the brain consolidates spatial memories?
Patai, E. Zita, Amir-Homayoun Javadi, Jason D. Ozubko, Andrew O’Callaghan, Shuman Ji, Jessica Robin, Cheryl Grady et al. “Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment.” Cerebral Cortex (2019).
Abstract
Recent research indicates …
Why do the typical boundaries in natural scenes affect spatial cognition differently from the non-boundaries in natural scenes?
James Negen, Angela Sandri, Sang Ah Lee, Marko Nardini. Boundaries in Spatial Cognition: Looking like a Boundary is More Important than Being a Boundary. June 12, 2019. doi: https://doi.org/10.1101/391037
Abstract
Large walls and other typical boundaries strongly influence neural activity …
How the sensory environmental information and the self-motion information influence on place and grid cell firing?
Chen, Guifen, Yi Lu, John A. King, Francesca Cacucci, and Neil Burgess. “Differential influences of environment and self-motion on place and grid cell firing.” Nature communications 10, no. 1 (2019): 630.
Abstract
Place and grid cells in the hippocampal formation …
How does the brain achieve variable neuronal activity?
Johnston, W. Jeffrey, Stephanie E. Palmer, and David J. Freedman. “Nonlinear mixed selectivity supports reliable neural computation.” bioRxiv (2019): 577288.
Summary
Neuronal activity in the brain is variable, yet both perception and behavior are generally reliable. How does the brain …
Anticipatory Neural Activity Improves the Decoding Accuracy for Dynamic Head-Direction Signals
Zirkelbach, Johannes, Martin Stemmler, and Andreas VM Herz. “Anticipatory neural activity improves the decoding accuracy for dynamic head-direction signals.” Journal of Neuroscience (2019): 2605-18.
Abstract
Insects and vertebrates harbor specific neurons that encode the animal’s head direction (HD) and provide …
About
Brain Inspired Navigation Blog
New discovery worth spreading on brain-inspired navigation in neurorobotics and neuroscience
Recent Posts
- How grid cell firing patterns rapidly adapt to novel or changing environmental features on a timescale relevant to behaviour?
- How the representations of space and time interact in the hippocampal memory system?
- How the brain integrate recent experiences into existing memories ensures that memories contain the most recently available information?
- How learning-associated astrocyte ensembles regulate memory recall?
- How bats use environmental acoustic information to perform acoustic cognitive map–based navigation?
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