Neuro Navigation
Neuro Navigation - Related Videos
11:18
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Cited by 9 •
2015
In this paper, an experimental framework to perform closed-loop experiments is presented, in which information processing (i.e., coding and decoding) and learning of neuronal assemblies are studied during the continuous interaction with a robotic body.
09:44
Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
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Cited by 10 •
2016
This article reports the development of a neuro-rehabilitation approach, "constraint-induced sound therapy (CIST)" for sudden sensorineural hearing loss. The aim of CIST is to prevent maladaptive cortical reorganization by using an enriched acoustic environment. CIST represents a safe, easy, inexpensive, and effective approach to treat sudden sensorineural hearing loss.
05:19
Practical Methodology of Cognitive Tasks Within a Navigational Assessment
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Cited by 1 •
2015
Children who have complex communication needs can benefit from the use of a speech-generating device (SGD). Cognitive skills were identified as having an impact on the ability to navigate between levels of SGDs. This protocol describes the steps needed for Speech-language Pathologists to assess cognitive skills and navigational abilities.
04:02
Fluorescence Imaging of Neuro-Immune Dynamics Using a Skull Implant
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2025
Source: Bisht, K., et al. Precise brain mapping to perform repetitive in vivo imaging of neuro-immune dynamics in mice. J. Vis. Exp. (2020)This video demonstrates fluorescence imaging of neuro-immune dynamics in a transgenic mouse with a skull implant. Vascular and neuronal stability is imaged alongside dynamic microglial changes, reflecting immune responses to neuronal activity.
06:03
Use of Electromagnetic Navigational Transthoracic Needle Aspiration (E-TTNA) for Sampling of Lung Nodules
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Cited by 12 •
2015
We describe the novel use of electromagnetic navigational guided transthoracic needle aspiration for the pathologic assessment of human lung nodules.
FAQs
These cell types support different aspects of spatial representation. Hippocampal place cells contribute to coding an organism’s location, while entorhinal grid cells support the internal representation needed for spatial mapping and path integration. Studying their activity helps neuroscientists connect neural signals with how organisms learn environments, remember locations, and select movements.
Navigation depends on combining information about the surrounding environment with signals generated by the organism’s own movement. Sensory cues provide environmental reference points, while self-motion signals help update an internal estimate of position and direction. Together, these inputs support path integration, allowing spatial representations to guide movement as conditions change.
Path integration allows an organism to maintain an internal estimate of its location by using information about movement. Within neuro navigation research, this process links self-motion signals to internal spatial maps rather than relying only on external landmarks. Examining it helps explain how neural systems support continuous movement, spatial learning, and decisions about where to go next.
Location coding provides a neural foundation for relating experiences to particular positions within an environment. When researchers examine place cells, grid cells, sensory cues, and movement signals together, they can investigate how spatial representations support learning and memory. These representations also contribute to decision-making by helping an organism use its current location and direction to guide movement.
Neuroscience studies commonly combine behavioral tasks, neural recording, and brain imaging. Behavioral tasks reveal how an organism performs spatial challenges, neural recording links behavior with activity in relevant cells or circuits, and brain imaging shows related patterns of brain function. Using these approaches together connects observable navigation behavior with underlying spatial representations and cognitive processes.
Behavioral tasks provide an observable measure of how an organism learns and moves through an environment. They can be used alongside neural recording or brain imaging to relate performance to location coding, path integration, learning, memory, and decision-making. This combined design helps researchers determine how changes in behavior correspond to changes in the nervous system’s spatial representations.
Studying spatial representations can clarify how spatial cognition develops and help explain impairments associated with neurological disease. The same principles also inform biologically inspired navigation systems and brain-computer interfaces. In this way, research connects basic neuroscience about location, direction, and movement with efforts to understand dysfunction and develop technologies based on nervous-system strategies.