Evidence map›Paper›PMID 30804092›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

The Firing Rate Speed Code of Entorhinal Speed Cells Differs across Behaviorally Relevant Time Scales and Does Not Depend on Medial Septum Inputs.

Holger Dannenberg, Craig Kelley, Alec Hoyland, Caitlin K Monaghan, Michael E Hasselmo

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  20. Functional network topography of the medial entorhinal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Holger DannenbergCenter for Systems Neuroscience, Boston University, Boston, Massachusetts 02215, and hasselmo@bu.edu hdannenb@gmail.com.ORCID 0000-0002-0340-0128
Craig KelleyCenter for Systems Neuroscience, Boston University, Boston, Massachusetts 02215, and.
Alec HoylandCenter for Systems Neuroscience, Boston University, Boston, Massachusetts 02215, and.ORCID 0000-0002-4732-5932
Caitlin K MonaghanPsychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, Massachusetts 02478.ORCID 0000-0002-7809-396X
Michael E HasselmoCenter for Systems Neuroscience, Boston University, Boston, Massachusetts 02215, and hasselmo@bu.edu hdannenb@gmail.com.ORCID 0000-0002-9925-6377

Funding

NEUROMODULATION AND CORTICAL MEMORY FUNCTIONR01MH060013 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2000 to 2019
$6.8M
Mechanisms of Entorhinal Cortex FunctionR01MH061492 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2000 to 2017
$5.0M
NIMH NIH HHS R01 MH060013NIMH NIH HHS R01 MH061492
6 · The paper itself

Abstract

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.

Indexed as

Action PotentialsAnimalsCholinergic NeuronsEntorhinal CortexGABAergic NeuronsMaleMice, Inbred C57BLModels, NeurologicalNeural PathwaysNeuronsOptogeneticsRats, Long-EvansRunningSeptal Nucleientorhinal cortexmedial septumpath integrationspeed cellsspeed signal

Identifiers

PMID30804092
PMCPMC6495130

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.