Glutamatergic synaptic integration of locomotion speed via septoentorhinal projections

Justus, Daniel; Dalügge, Dennis; Bothe, Stefanie; Fuhrmann, Falko; Hannes, Christian; Kaneko, Hiroshi; Friedrichs, Detlef; Sosulina, Liudmila; Schwarz, Inna; Elliott, David A.; Schoch, Susanne; Bradke, Frank; Schwarz, Martin K.; Remy, Stefan

doi:10.1038/nn.4447

Cited by 77 publications

(109 citation statements)

References 42 publications

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“…One way to overcome this challenge would be to assume grid cells integrate a population vector of speed inputs. This population vector could consist of signals from MEC speed cells as well as speed signals such as changes in theta frequency or speed-tuned inputs from outside MEC, like medial septal glutamatergic axons 42 . Such a population code that, across many speed inputs, created a positively modulated linear speed input to the grid cell network would be highly consistent with our current experimental results.…”

Section: Discussionmentioning

confidence: 99%

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: Discussionmentioning

confidence: 99%

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

et al. 2018

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“…A putative mechanism may involve the reciprocal circuit between GABAergic neurons in MS and hippocampus. MS parvalbumin-expressing neurons innervate a variety of inhibitory neuron types in the hippocampus 42 and entorhinal cortex 5,43,44,57,58 , while cholinergic neurons affect both principal cells and interneurons 46 . In turn, long-range hippocampo-septal interneurons inhibit MS neurons 45,47,48 .…”

Section: Mechanisms Of Ms-hippocampal Theta Oscillationsmentioning

confidence: 99%

Cooling of medial septum reveals theta phase lag coordination of hippocampal cell assemblies

Petersen

Buzsáki

2019

Preprint

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Hippocampal theta oscillations coordinate neuronal firing to support memory and spatial navigation. The medial septum (MS) is critical in theta generation by two possible mechanisms: either a unitary 'pacemaker' timing signal is imposed on the hippocampal system or it may assist in organizing subcircuits within the phase space of theta oscillations. We used temperature manipulation of the MS to confront these models.Cooling of the MS reduced both theta frequency and power, was associated with enhanced incidence of errors in a spatial navigation task, but did not affect the spatial map. MS cooling decreased theta frequency oscillations of place cells, reduced distancetime compression but preserved distance-phase compression of place field sequences within the theta cycle. We suggest that reciprocal MS-hippocampal communication is essential for sustaining theta phase-coordination of cell assemblies and, in turn, supporting its role in spatial memory.

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“…HCN channel expression controls membrane integration kinetics and thus, the loss of HCN channels could impact the sensitivity of MEC grid and speed cell responses to changes in self-motion cues 43,44 . HCN channels also play a key role in generating rhythmic activity in the medial septum 28,29 , which contains MEC projecting neurons that encode running speed in their firing rate 45 . As the MEC grid network likely depends on multiple inputs to estimate a speed signal 14 , the loss of HCN channels in the medial septum could impair speed coding at the level of both rate-coded speed inputs to MEC and the frequency modulation of theta oscillations by running speed.…”

Section: Discussionmentioning

confidence: 99%

Entorhinal velocity signals reflect environmental geometry

Munn

Mallory

Hardcastle

et al. 2019

Preprint

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The entorhinal cortex contains neural signals for representing self-location, including grid cells that fire in periodic locations and velocity signals that encode an animal's speed and head direction. Recent work revealed that the size and shape of the environment influences grid patterns. Whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments remains unknown. Here, we report that changes to the size and shape of the environment result in re-scaling in entorhinal speed codes. Moreover, head direction cells re-organize in an experience-dependent manner to align with the axis of environmental change. A knockout mouse model allows a dissociation of the coordination between cell types, with grid and speed, but not head direction, cells responding in concert to environmental change. These results align with predictions of grid cell attractor models and point to inherent flexibility in the coding features of multiple functionally-defined entorhinal cell types.

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Glutamatergic synaptic integration of locomotion speed via septoentorhinal projections

Cited by 77 publications

References 42 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

Cooling of medial septum reveals theta phase lag coordination of hippocampal cell assemblies

Entorhinal velocity signals reflect environmental geometry

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