The firing rate speed code of entorhinal speed cells differs across behaviorally relevant time scales and does not depend on medial septum inputs Article Swipe
Holger Dannenberg
,
Craig Kelley
,
Alec Hoyland
,
Caitlin Monaghan
,
Michael E. Hasselmo
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1523/jneurosci.1450-18.2019
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1523/jneurosci.1450-18.2019
The firing rate of speed cells, a dedicated subpopulation of neurons in the medial entorhinal cortex (MEC), is correlated with running speed. This correlation has been interpreted as a speed code used in various computational models for path integration. These models consider firing rate to be linearly tuned by running speed in real-time. However, estimation of firing rates requires integration of spiking events over time, setting constraints on the temporal accuracy of the proposed speed code. We therefore tested whether the proposed speed code by firing rate is accurate at short time scales using data obtained from open-field recordings in male rats and mice. We applied a novel filtering approach differentiating between speed codes at multiple time scales ranging from deciseconds to minutes. In addition, we determined the optimal integration time window for firing-rate estimation using a general likelihood framework and calculated the integration time window that maximizes the correlation between firing rate and running speed. Data show that these time windows are on the order of seconds, setting constraints on real-time speed coding by firing rate. We further show that optogenetic inhibition of either cholinergic, GABAergic, or glutamatergic neurons in the medial septum/diagonal band of Broca does not affect modulation of firing rates by running speed at each time scale tested. These results are relevant for models of path integration and for our understanding of how behavioral activity states may modulate firing rates and likely information processing in the MEC.SIGNIFICANCE STATEMENT Path integration is the most basic form of navigation relying on self-motion cues. Models of path integration use medial septum/diagonal band of Broca (MSDB)-dependent MEC grid-cell firing patterns as the neurophysiological substrate of path integration. These models use a linear speed code by firing rate, but do not consider temporal constraints of integration over time for firing-rate estimation. We show that firing-rate estimation for speed cells requires integration over seconds. Using optogenetics, we show that modulation of firing rates by running speed is independent of MSDB inputs. These results enhance our understanding of path integration mechanisms and the role of the MSDB for information processing in the MEC.
Related Topics
Concepts
Computer science
Glutamatergic
Speedup
Diagonal band of Broca
Simulation
Neuroscience
Cholinergic neuron
Cholinergic
Parallel computing
Biology
Receptor
Biochemistry
Glutamate receptor
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1523/jneurosci.1450-18.2019
- https://www.jneurosci.org/content/jneuro/39/18/3434.full.pdf
- OA Status
- bronze
- Cited By
- 52
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2917431131
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2917431131Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1523/jneurosci.1450-18.2019Digital Object Identifier
- Title
-
The firing rate speed code of entorhinal speed cells differs across behaviorally relevant time scales and does not depend on medial septum inputsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-02-25Full publication date if available
- Authors
-
Holger Dannenberg, Craig Kelley, Alec Hoyland, Caitlin Monaghan, Michael E. HasselmoList of authors in order
- Landing page
-
https://doi.org/10.1523/jneurosci.1450-18.2019Publisher landing page
- PDF URL
-
https://www.jneurosci.org/content/jneuro/39/18/3434.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
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https://www.jneurosci.org/content/jneuro/39/18/3434.full.pdfDirect OA link when available
- Concepts
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Computer science, Glutamatergic, Speedup, Diagonal band of Broca, Simulation, Neuroscience, Cholinergic neuron, Cholinergic, Parallel computing, Biology, Receptor, Biochemistry, Glutamate receptorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
52Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 8, 2023: 6, 2022: 5, 2021: 11Per-year citation counts (last 5 years)
- References (count)
-
79Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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