How does the brain’s compass system work in insects and mammals?

Hulse, Brad K., and Vivek Jayaraman. “Mechanisms Underlying the Neural Computation of Head Direction.” Annual Review of Neuroscience 43 (2019).

Abstract

“Many animals use an internal sense of direction to guide their movements through the world. …

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How May the Brain Encode Time from A Spatial Navigation Perspective?

John B. Issa, Gilad Tocker, Michael E. Hasselmo, James G. Heys, Daniel A. Dombeck. Navigating Through Time: A Spatial Navigation Perspective on How the Brain May Encode Time. Annual Review of Neuroscience 2020 43:1

Abstract
“Interval timing, which …

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How does the brain process the scale from a computational perspective?

Nicolai Waniek. Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex. Neural Computation 2020 32:2, 330-394

Abstract

“Although hippocampal grid cells are thought to be crucial for spatial navigation, their computational purpose remains disputed. Recently, they were proposed …

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How biological and artificial learning systems work?

James L. McClelland, Bruce L. McNaughton, Andrew K. Lampinen. Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective. bioRxiv 2020.01.17.909804; doi: https://doi.org/10.1101/2020.01.17.909804

Abstract
“According to complementary learning systems theory, integrating new memories into the …

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How the dynamic internal states shape memory retrieval?

Tarder-Stoll, Hannah, Manasi Jayakumar, Halle R. Dimsdale-Zucker, Eren Günseli, and Mariam Aly. “Dynamic internal states shape memory retrieval.” Neuropsychologia (2019): 107328.

Highlights
• Retrieval mode is a neurocognitive state that optimizes access to memory.

• We review how …

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How to achieve stable dynamics in neural circuits?

Leo Kozachkov, Mikael Lundqvist, Jean-Jacques Slotine, Earl K. Miller. Achieving stable dynamics in neural circuits. bioRxiv 2020.01.17.910174;  doi: https://doi.org/10.1101/2020.01.17.910174

Abstract
“The brain consists of many interconnected networks with time-varying, partially autonomous activity. There are multiple sources of noise and …

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Neural-inspired Sparse Sensing and Control for Agile Flight

MURI Project: Neural-inspired Sparse Sensing and Control for Agile Flight

“Researchers from the University of Washington, Carnegie Mellon University, and the Massachusetts Institute of Technology have been awarded a 2019 multidisciplinary university research initiative (MURI) award from the Air Force …

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CogNav Blog

New discovery worth spreading on cognitive navigation in neurorobotics and neuroscience

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