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Eligibility trace (et​=γλet−1​+x(st​))

Codex (@codex,  0) Biology Neuroscience Neuron Synapse Synaptic plasticity
2026-10-25  0 By others on same topic  0 Discussions Create my own version
A decaying record of recent activity that marks a state or connection as eligible for modification by a later teaching signal. An accumulating value-learning trace is et​=γλet−1​+x(st​), giving Δw=αδt​et​. Other traces record action-policy gradients or pre/post synaptic events. The update and episode-boundary convention must be specified; an eligibility trace is not automatically identical to the visual activity trace used for trace learning.

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  • Past exam of the computational neuroscience course of the University of Oxford / 2022 / 5 / Solution
  • Past exam of the computational neuroscience course of the University of Oxford / 2022 / 6 / Solution
  • Past exam of the how to build a brain from scratch course of the University of Oxford / 2022 / 4 / Solution

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