Rapid Neural Coding in the Retina with Relative Spike Latencies

By Tim Gollisch, Markus Meister. Science, 2008

691 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2c27293eb196e2d5818a608d05325530aa276e8b

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

In Molecular Biology

Citations in the corpus

Odor representations in olfactory cortex: distributed rate coding and decorrelated population activity (2012, critical): “Although it has been postulated that spike times may provide a more rapid coding mechanism (Cury and Uchida, 2010; Gollisch and Meister, 2008; Thorpe et al., 2001), we found that decoders using spike count actually performed faster than those based on spike latency or peak timing (Figure 4F),…”
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks (2017, background): “…largely ignores the idea that individual spike timing may carry additional information which could be crucial for efﬁcient coding (Thalmeier et al., 2015; Denève and Machens, 2016; Abbott et al., 2016; Brendel et al., 2017) and fast computation (Thorpe et al., 1996; Gollisch and Meister, 2008).”
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence (2023, background): “The latency encoder encodes a larger x into an early firing time step t f , indicating that a larger stimulus should cause a faster response, as has been observed in the retinal pathway ( 167 ).”
Neural population coding: combining insights from microscopic and mass signals (2015, background): “…downstream decoder (because measuring latency requires information about the precise time of stimulus onset), information in the relative latency between neurons may be robustly extracted by exploiting the fact that trial-by-trial shifts of latency are often correlated across a population [61–63].”
Predictive Feedback Can Account for Biphasic Responses in the Lateral Geniculate Nucleus (2009, background): “This view has received increasing attention over the past years [83–85] as more data is becoming available suggesting that spike timing may be important for neural communication [86–89].”