ArticleJournal of computational neuroscience2012
Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.
Article in Journal of computational neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 42 citations in OpenAlex.
- Neuromorphic Engineering Needs Closed-Loop Benchmarks.Frontiers in neuroscience · 2022Review
- A Model of the Early Visual System Based on Parallel Spike-Sequence Detection, Showing Orientation Selectivity.Biology · 2021Article
- Sub-Optimality of the Early Visual System Explained Through Biologically Plausible Plasticity.Frontiers in neuroscience · 2021Article
- Event-Based Trajectory Prediction Using Spiking Neural Networks.Frontiers in computational neuroscience · 2021Article
- Event-Based Computation for Touch Localization Based on Precise Spike Timing.Frontiers in neuroscience · 2020Article
- Emergence of Binocular Disparity Selectivity through Hebbian Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Neuronal Response Latencies Encode First Odor Identity Information across Subjects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing.Frontiers in neuroinformatics · 2018Article
- PRANAS: A New Platform for Retinal Analysis and Simulation.Frontiers in neuroinformatics · 2017Article
- Microsaccades enable efficient synchrony-based coding in the retina: a simulation study.Scientific reports · 2016Article
- Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Reading and writing the neural code.Nature neuroscience · 2013Article
- STDP and STDP variations with memristors for spiking neuromorphic learning systems.Frontiers in neuroscience · 2013Article
- Modeling the formation process of grouping stimuli sets through cortical columns and microcircuits to feature neurons.Computational intelligence and neuroscience · 2013Review
- Neural variability, or lack thereof.Frontiers in computational neuroscience · 2013Article
- A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.PloS one · 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
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have built a phenomenological spiking model of the cat early visual system comprising the retina, the Lateral Geniculate Nucleus (LGN) and V1's layer 4, and established four main results (1) When exposed to videos that reproduce with high fidelity what a cat experiences under natural conditions, adjacent Retinal Ganglion Cells (RGCs) have spike-time correlations at a short timescale (~30 ms), despite neuronal noise and possible jitter accumulation. (2) In accordance with recent experimental findings, the LGN filters out some noise. It thus increases the spike reliability and temporal precision, the sparsity, and, importantly, further decreases down to ~15 ms adjacent cells' correlation timescale. (3) Downstream simple cells in V1's layer 4, if equipped with Spike Timing-Dependent Plasticity (STDP), may detect these fine-scale cross-correlations, and thus connect principally to ON- and OFF-centre cells with Receptive Fields (RF) aligned in the visual space, and thereby become orientation selective, in accordance with Hubel and Wiesel (Journal of Physiology 160:106-154, 1962) classic model. Up to this point we dealt with continuous vision, and there was no absolute time reference such as a stimulus onset, yet information was encoded and decoded in the relative spike times. (4) We then simulated saccades to a static image and benchmarked relative spike time coding and time-to-first spike coding w.r.t. to saccade landing in the context of orientation representation. In both the retina and the LGN, relative spike times are more precise, less affected by pre-landing history and global contrast than absolute ones, and lead to robust contrast invariant orientation representations in V1.
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.