Evidence map›Paper›PMID 22492048›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012

Logarithmic compression of sensory signals within the dendritic tree of a collision-sensitive neuron.

Peter W Jones, Fabrizio Gabbiani

Abstract readComparative Study
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Characterization and modelling of looming-sensitive neurons in the crab Neohelice.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2018
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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

2 authors.

Peter W JonesDepartment of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA. pwjones@cnbc.cmu.edu
Fabrizio Gabbiani

Funding

Neuronal Mechanisms of Multiplication and InvarianceR01MH065339 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI GABBIANI, FABRIZIO · 2002 to 2017
$4.5M
NIMH NIH HHS R01 MH065339
6 · The paper itself

Abstract

Neurons in a variety of species, both vertebrate and invertebrate, encode the kinematics of objects approaching on a collision course through a time-varying firing rate profile that initially increases, then peaks, and eventually decays as collision becomes imminent. In this temporal profile, the peak firing rate signals when the approaching object's subtended size reaches an angular threshold, an event which has been related to the timing of escape behaviors. In a locust neuron called the lobula giant motion detector (LGMD), the biophysical basis of this angular threshold computation relies on a multiplicative combination of the object's angular size and speed, achieved through a logarithmic-exponential transform. To understand how this transform is implemented, we modeled the encoding of angular velocity along the pathway leading to the LGMD based on the experimentally determined activation pattern of its presynaptic neurons. These simulations show that the logarithmic transform of angular speed occurs between the synaptic conductances activated by the approaching object onto the LGMD's dendritic tree and its membrane potential at the spike initiation zone. Thus, we demonstrate an example of how a single neuron's dendritic tree implements a mathematical step in a neural computation important for natural behavior.

Indexed as

Action PotentialsAnimalsDendritesFemaleGrasshoppersMaleMotion PerceptionNeuronsPhotic StimulationSignal TransductionTime Factors

Identifiers

PMID22492048
PMCPMC3752046

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.