ArticleFrontiers in systems neuroscience2010
Modulation of temporal precision in thalamic population responses to natural visual stimuli.
Article in Frontiers in systems neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Computational assessment of visual coding across mouse brain areas and behavioural states.Frontiers in computational neuroscience · 2023Article
- Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies.PloS one · 2022Article
- Efficient and robust coding in heterogeneous recurrent networks.PLoS computational biology · 2021Article
- Feedforward Thalamocortical Connectivity Preserves Stimulus Timing Information in Sensory Pathways.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1.Frontiers in neural circuits · 2016Article
- The role of thalamic population synchrony in the emergence of cortical feature selectivity.PLoS computational biology · 2014Article
- Animation of natural scene by virtual eye-movements evokes high precision and low noise in V1 neurons.Frontiers in neural circuits · 2013Article
- Visual orientation and directional selectivity through thalamic synchrony.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware.Frontiers in neuroscience · 2012Article
- Natural movies evoke spike trains with low spike time variability in cat primary visual cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2011Article
- The episodic nature of spike trains in the early visual pathway.Journal of neurophysiology · 2010Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Natural visual stimuli have highly structured spatial and temporal properties which influence the way visual information is encoded in the visual pathway. In response to natural scene stimuli, neurons in the lateral geniculate nucleus (LGN) are temporally precise - on a time scale of 10-25 ms - both within single cells and across cells within a population. This time scale, established by non stimulus-driven elements of neuronal firing, is significantly shorter than that of natural scenes, yet is critical for the neural representation of the spatial and temporal structure of the scene. Here, a generalized linear model (GLM) that combines stimulus-driven elements with spike-history dependence associated with intrinsic cellular dynamics is shown to predict the fine timing precision of LGN responses to natural scene stimuli, the corresponding correlation structure across nearby neurons in the population, and the continuous modulation of spike timing precision and latency across neurons. A single model captured the experimentally observed neural response, across different levels of contrasts and different classes of visual stimuli, through interactions between the stimulus correlation structure and the nonlinearity in spike generation and spike history dependence. Given the sensitivity of the thalamocortical synapse to closely timed spikes and the importance of fine timing precision for the faithful representation of natural scenes, the modulation of thalamic population timing over these time scales is likely important for cortical representations of the dynamic natural visual environment.
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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.