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Are there any detailed models of how neuronal circuits would implement reinforcement learning in the context of homoeostasis?

Since these are excitatory inputs, their effectiveness is translated into depolarization of the postsynaptic neurons, the activity of which provides a readout of the expectation of reinforcement in the particular context of cortical activity [ 60, 61].

Although abnormalities in responses to reinforcement have been studied in the context of motivation, they could be related to impairments in executive functioning, especially in the case of difficulties in weighing near-term versus long-term rewards.

For example, many metabolic disorders (inborn errors of metabolism) are the result of inheriting particular alleles and provide strong reinforcement of genetics and genomics in the context of a physiology course.

In the context of reinforcement learning, two kinds of plasticity rules are derived, zone reinforcement (ZR) and cell reinforcement (CR), which both optimize the expected reward by stochastic gradient ascent.

A procedure of average trust calculation along a provenance or policy path learned with reinforcement learning Algorithm has been described in the context of calculating average reward along a policy path in [55, 56].

We will consider synaptic plasticity in the context of reinforcement learning, where the somatic action potentials control the delivery of an external reward signal.

The algorithm is also able to configure the topology of the network, an important characteristic in the context of reinforcement learning, where the changing policy may result in different requirements on the approximator structure.

This work presents the restricted gradient-descent (RGD) algorithm, a training method for local radial-basis function networks specifically developed to be used in the context of reinforcement learning.

In the context of reinforcement learning paradigms, the RPE now becomes the change in confidence about receiving anticipated rewards.

Presently, a differential-reinforcement-of-other-behavior (DRO) schedule, in the context of a reversal design, was effective in reducing biting and chewing in two horses.

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