Publications by authors named "Ekaterina S Berdnikova"

Article Synopsis
  • Mathematical and computer simulations of learning in neural networks focus on synaptic connections (weights), which are thought to be key for learning and memory through synaptic plasticity.
  • The study explores a model of structural plasticity that involves adaptive changes in synaptic connections based on neural activity, enhancing the effects of spike-timing-dependent plasticity (STDP) in response to external stimulation.
  • The research introduces a measure for the stability and reproducibility of network dynamics over time, using a vector field approach to analyze patterns in functional and anatomical connectomes.
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