Homeostatic plasticity refers to the regulatory mechanisms that neurons use to maintain stable levels of activity and function in response to changes in their environment or activity. This process ensures that neurons can adapt to varying inputs while preventing excessive excitation or inhibition, ultimately supporting stable learning and memory processes. It plays a crucial role in maintaining the balance between synaptic strengthening and weakening, ensuring optimal neural network performance during unsupervised learning and decision-making tasks.
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