Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice

Yoon, Kyungho; Lewallen, Sam; Kinkhabwala, Amina A.; Tank, David W.; Fiete, Ila

doi:10.1016/j.neuron.2016.01.039

Cited by 74 publications

(100 citation statements)

References 22 publications

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“…5), where 1D patterns are considered as slices through a 2D grid 33 , gave similar results to the 1D model: gain changes lead to sub-critical (shifts) and super-critical (rescaling and remapping) responses depending on the size of the gain change, the speed of the animal, and the strength of the landmark input. An interesting distinction between the 1D and 2D models is that in the 2D super-critical regime, the landmarks also exert a pull on the attractor state that is orthogonal to the path of the animal.…”

Section: Resultsmentioning

confidence: 63%

Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation

et al. 2018

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To guide navigation, the nervous system integrates multisensory self-motion and landmark information. We examined how these inputs generate the representation of self-location 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, providing principled regimes under 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 the principles predicted by our recordings. Together, these results provide a quantitative framework for understanding how landmark and self-motion cues combine during navigation to generate spatial representations and guide behavior.

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Section: Resultsmentioning

confidence: 63%

Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation

et al. 2018

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“…Thus, grid cells with wider fields in the spatial environment tended also to have wider fields in the SMT, suggesting shared neural mechanisms. One possibility is that the SMT firing patterns corresponded to 1-dimensional slices through a hexagonal lattice 25 ; however, the small number of fields produced by grid cells in the SMT (typically 0–3) precluded this analysis.…”

mentioning

confidence: 99%

Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit

Aronov

Nevers

Tank

2017

Nature

601

489

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During spatial navigation, neural activity in the hippocampus and the medial entorhinal cortex (MEC) is correlated to navigational variables like location1,2, head direction3, speed4, and proximity to boundaries5. These activity patterns are thought to provide a map-like representation of physical space. However, the hippocampal/entorhinal circuit is involved not only in spatial navigation, but in a variety of memory-guided behaviors6. The relationship between this general function and the specialized spatial activity patterns is unclear. A conceptual framework reconciling these views is that spatial representation is just one example of a more general mechanism for encoding continuous, task-relevant variables7–10. We tested this idea by recording hippocampal and entorhinal neurons in a task that required rats to use a joystick to manipulate sound along a continuous frequency axis. We found neural representation of the entire behavioral task, including activity that formed discrete firing fields at particular sound frequencies. Neurons involved in this representation overlapped with the known spatial cell types in the circuit like place cells and grid cells. These results suggest that common circuit mechanisms in the hippocampal/entorhinal system are used for representations of diverse behavioral tasks, possibly supporting cognitive processes beyond spatial navigation.

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“…These receptive fields form a periodic triangular lattice that can be mapped to a torus 30 . Any straight-line trajectory along a primary grid axis generates a periodically repeating pattern of activity that can be mapped to a circle 31 (Figure 3a). In keeping with our assumption that overlapping responses are generated by stellate cells with overlapping inputs, we modeled the stellate-interneuron network as a ring where 'neighboring' stellate cells that fire in close spatial and temporal proximity were connected to overlapping groups of interneurons ( Figure 3b).…”

Section: Resultsmentioning

confidence: 99%

Theta oscillations gate the transmission of reliable sequences in the medial entorhinal cortex

Neru

Assisi

2019

Preprint

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Reliable sequential activity of neurons in the entorhinal cortex is necessary to encode spatially guided behavior and memory. In a realistic computational model of a medial entorhinal cortex (MEC) microcircuit, with stellate cells coupled via a network of inhibitory interneurons, we show how intrinsic and network mechanisms interact with theta oscillations to generate reliable outputs. Sensory inputs activate interneurons near their most excitable phase during each theta cycle. As the inputs change, different groups of interneurons are recruited and postsynaptic stellate cells are released from inhibition causing a sequence of rebound spikes. Since the rebound time scale of stellate cells matches theta oscillations, its spikes get relegated to the least excitable phase of theta ensuring that the network encodes only the external drive and ignores recurrent excitation by rebound spikes. In the absence of theta, rebound spikes compete with external inputs and disrupt the sequence that follows.Our simulations concur with experimental data that show, subduing theta oscillations disrupts the spatial periodicity of grid cell receptive fields. Further, the same mechanism where theta modulates the gain of incoming inputs may be used to select between competing sources of input and create transient functionally connected networks. * collins@iiserpune.ac.in

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Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice

Cited by 74 publications

References 22 publications

Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation

Principles governing the integration of landmark and self-motion cues in entorhinal cortical codes for navigation

Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit

Theta oscillations gate the transmission of reliable sequences in the medial entorhinal cortex

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