Predictive processing for individual synapses.

<p><b>A:</b> i) An agent interacting with the environment through actions, which are determined by the agent’s internal state. Sensory feedback from the environment to the agent is used to update the agent’s internal model of the environment. ii) An additional, external trigger can...

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Bibliographic Details
Main Author:	David Kappel (543872) (author)
Other Authors:	Christian Tetzlaff (235968) (author)
Published:	2024
Subjects:	Cell Biology Genetics Neuroscience Developmental Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified resembles experimentally well implicit internal model utilize stochastic pre synaptic learning rule xlink "> synapses somatic membrane dynamics synapses use noise synapses use somatic dynamics utilize uncertainties synaptic release emergent dynamics synapses learn synapses coordinate many synapses costly synapses somatic potential somatic activity whole interacts trial variability similar way postsynaptic neuron pattern classification network level mathematical framework ltd mechanisms loop control large trial highly noisy high levels framework suggests established ltp energy consumption dynamic environment approach entails also encode
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Predictive processing for individual synapses.

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