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Temporal Coding
(The concept that neural networks are computing based on the relative timing of spikes. This contrasts with rate coding where the computation relies on the frequency of spikes.)
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Models
1.
Decoding movement trajectory from simulated grid cell population activity (Bush & Burgess 2019)
2.
First-Spike-Based Visual Categorization Using Reward-Modulated STDP (Mozafari et al. 2018)
3.
Multiplexed coding in Purkinje neuron dendrites (Zang and De Schutter 2021)
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