ArticleJournal of neurophysiology2010
The episodic nature of spike trains in the early visual pathway.
Article in Journal of neurophysiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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.
Who cites it
22 citing papers in PubMed.
- Quantitative analyses of how optimally heterogeneous neural codes maximize neural information in jittery transmission environments.Scientific reports · 2024Article
- More than expected: extracellular waveforms and functional responses in monkey LGN.bioRxiv : the preprint server for biology · 2024Article
- Exploring retinal ganglion cells encoding to multi-modal stimulation using 3D microelectrodes arrays.Frontiers in bioengineering and biotechnology · 2023Article
- Thalamic state influences timing precision in the thalamocortical circuit.Journal of neurophysiology · 2021Article
- Interspike intervals within retinal spike bursts combinatorially encode multiple stimulus features.PLoS computational biology · 2020Article
- Retinal Degeneration Reduces Consistency of Network-Mediated Responses Arising in Ganglion Cells to Electric Stimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
- The statistics of how natural images drive the responses of neurons.Journal of vision · 2019Article
- Feedforward Thalamocortical Connectivity Preserves Stimulus Timing Information in Sensory Pathways.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Spike and burst coding in thalamocortical relay cells.PLoS computational biology · 2018Article
- Neural Coding With Bursts-Current State and Future Perspectives.Frontiers in computational neuroscience · 2018Review
- Multiplexed Spike Coding and Adaptation in the Thalamus.Cell reports · 2017Article
- Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells.eLife · 2016Article
- Directionally selective retinal ganglion cells suppress luminance responses during natural viewing.Scientific reports · 2016Article
- Nonlinear computations shaping temporal processing of precortical vision.Journal of neurophysiology · 2016Article
- Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.Frontiers in neural circuits · 2016Article
- Heterogeneity of intrinsic biophysical properties among cochlear nucleus neurons improves the population coding of temporal information.Journal of neurophysiology · 2014Article
- The role of thalamic population synchrony in the emergence of cortical feature selectivity.PLoS computational biology · 2014Article
- Modeling the formation process of grouping stimuli sets through cortical columns and microcircuits to feature neurons.Computational intelligence and neuroscience · 2013Review
- Inferring nonlinear neuronal computation based on physiologically plausible inputs.PLoS computational biology · 2013Article
- Bursting neurons and ultrasound avoidance in crickets.Frontiers in neuroscience · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
An understanding of the neural code in a given visual area is often confounded by the immense complexity of visual stimuli combined with the number of possible meaningful patterns that comprise the response spike train. In the lateral geniculate nucleus (LGN), visual stimulation generates spike trains comprised of short spiking episodes ("events") separated by relatively long intervals of silence, which establishes a basis for in-depth analysis of the neural code. By studying this event structure in both artificial and natural visual stimulus contexts and at different contrasts, we are able to describe the dependence of event structure on stimulus class and discern which aspects generalize. We find that the event structure on coarse time scales is robust across stimulus and contrast and can be explained by receptive field processing. However, the relationship between the stimulus and fine-time-scale features of events is less straightforward, partially due to a significant amount of trial-to-trial variability. A new measure called "label information" identifies structural elements of events that can contain ≤30% more information in the context of natural movies compared with what is available from the overall event timing. The first interspike interval of an event most robustly conveys additional information about the stimulus and is somewhat more informative than the event spike count and much more informative than the presence of bursts. Nearly every event is preserved across contrast despite changes in their fine-time-scale features, suggesting that--at least on a coarse level--the stimulus selectivity of LGN neurons is contrast invariant. Event-based analysis thus casts previously studied elements of LGN coding such as contrast adaptation and receptive field processing in a new light and leads to broad conclusions about the composition of the LGN neuronal code.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.