ArticleCognitive neurodynamics2018
Simulation of retinal ganglion cell response using fast independent component analysis.
Article in Cognitive neurodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Defect-Driven Neuromorphic Plasticity in Planar ZnO Optoelectronic Synapses.ACS applied materials & interfaces · 2026Article
- Organic Phototransistor Photonic Synapses for Artificial Vision.Nano-micro letters · 2026Review
- Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden-Popper Perovskite for Neuromorphic Vision.ACS applied materials & interfaces · 2025Article
- Bio-Inspired Ionic Sensors: Transforming Natural Mechanisms into Sensory Technologies.Nano-micro letters · 2025Review
- Ultraweak light-modulated heterostructure with bidirectional photoresponse for static and dynamic image perception.Nature communications · 2024Article
- Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks.Science and technology of advanced materials · 2023Review
- Artificial Visual Information Produced by Retinal Prostheses.Frontiers in cellular neuroscience · 2022Review
- NeuroConstruct-based implementation of structured-light stimulated retinal circuitry.BMC neuroscience · 2020Article
- The Relationship between Sparseness and Energy Consumption of Neural Networks.Neural plasticity · 2020Article
- Spontaneous electromagnetic induction promotes the formation of economical neuronal network structure via self-organization process.Scientific reports · 2019Article
- Energy expenditure computation of a single bursting neuron.Cognitive neurodynamics · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in neurobiology suggest that neuronal response of the primary visual cortex to natural stimuli may be attributed to sparse approximation of images, encoding stimuli to activate specific neurons although the underlying mechanisms are still unclear. The responses of retinal ganglion cells (RGCs) to natural and random checkerboard stimuli were simulated using fast independent component analysis. The neuronal response to stimuli was measured using kurtosis and Treves-Rolls sparseness, and the kurtosis, lifetime and population sparseness were analyzed. RGCs exhibited significant lifetime sparseness in response to natural stimuli and random checkerboard stimuli. About 65 and 72% of RGCs do not fire all the time in response to natural and random checkerboard stimuli, respectively. Both kurtosis of single neurons and lifetime response of single neurons values were larger in the case of natural than in random checkerboard stimuli. The population of RGCs fire much less in response to random checkerboard stimuli than natural stimuli. However, kurtosis of population sparseness and population response of the entire neurons were larger with natural than random checkerboard stimuli. RGCs fire more sparsely in response to natural stimuli. Individual neurons fire at a low rate, while the occasional "burst" of neuronal population transmits information efficiently.
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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 Socratic graph.