ArticleFrontiers in neural circuits2013
Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents.
Article in Frontiers in neural circuits, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 86 citations in OpenAlex.
- The 6-OHDA Parkinson's Disease Mouse Model Shows Deficits in Sensory Behavior.bioRxiv : the preprint server for biology · 2025Article
- Optimization of Temporal Coding of Tactile Information in Rat Thalamus by Locus Coeruleus Activation.Biology · 2024Article
- Demonstration of three-dimensional contact point determination and contour reconstruction during active whisking behavior of an awake rat.PLoS computational biology · 2022Article
- Emerging experience-dependent dynamics in primary somatosensory cortex reflect behavioral adaptation.Nature communications · 2022Article
- Temporally Local Tactile Codes Can Be Stored in Working Memory.Frontiers in human neuroscience · 2022Article
- Conveyance of texture signals along a rat whisker.Scientific reports · 2021Article
- Thalamic state influences timing precision in the thalamocortical circuit.Journal of neurophysiology · 2021Article
- Rapid and transient enhancement of thalamic information transmission induced by vagus nerve stimulation.Journal of neural engineering · 2020Article
- Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retina.Scientific reports · 2020Article
- Whisker Vibrations and the Activity of Trigeminal Primary Afferents in Response to Airflow.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- The Understanding Capacity and Information Dynamics in the Human Brain.Entropy (Basel, Switzerland) · 2019Article
- Stimulus Context and Reward Contingency Induce Behavioral Adaptation in a Rodent Tactile Detection Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Biomechanical Texture Coding in Rat Whiskers.Scientific reports · 2018Article
- Primary Tactile Thalamus Spiking Reflects Cognitive Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Organization of sensory feature selectivity in the whisker system.Neuroscience · 2018Review
- Article
- Artificial spatiotemporal touch inputs reveal complementary decoding in neocortical neurons.Scientific reports · 2017Article
- Temporally precise control of single-neuron spiking by juxtacellular nanostimulation.Journal of neurophysiology · 2017Article
- Edge orientation signals in tactile afferents of macaques.Journal of neurophysiology · 2016Article
- Support for the slip hypothesis from whisker-related tactile perception of rats in a noisy environment.Frontiers in integrative neuroscience · 2015Article
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Authors and funding
6 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sensory receptors determine the type and the quantity of information available for perception. Here, we quantified and characterized the information transferred by primary afferents in the rat whisker system using neural system identification. Quantification of "how much" information is conveyed by primary afferents, using the direct method (DM), a classical information theoretic tool, revealed that primary afferents transfer huge amounts of information (up to 529 bits/s). Information theoretic analysis of instantaneous spike-triggered kinematic stimulus features was used to gain functional insight on "what" is coded by primary afferents. Amongst the kinematic variables tested--position, velocity, and acceleration--primary afferent spikes encoded velocity best. The other two variables contributed to information transfer, but only if combined with velocity. We further revealed three additional characteristics that play a role in information transfer by primary afferents. Firstly, primary afferent spikes show preference for well separated multiple stimuli (i.e., well separated sets of combinations of the three instantaneous kinematic variables). Secondly, neurons are sensitive to short strips of the stimulus trajectory (up to 10 ms pre-spike time), and thirdly, they show spike patterns (precise doublet and triplet spiking). In order to deal with these complexities, we used a flexible probabilistic neuron model fitting mixtures of Gaussians to the spike triggered stimulus distributions, which quantitatively captured the contribution of the mentioned features and allowed us to achieve a full functional analysis of the total information rate indicated by the DM. We found that instantaneous position, velocity, and acceleration explained about 50% of the total information rate. Adding a 10 ms pre-spike interval of stimulus trajectory achieved 80-90%. The final 10-20% were found to be due to non-linear coding by spike bursts.
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