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Local, calcium- and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problem

1. Zahra Khodadadi
2. Daniel Trpevski
3. Robert Lindroos
4. Jeanette Hellgren Kotaleski

• Curated by eLife

  eLife assessment

  This computational modeling study builds on multiple previous lines of experimental and theoretical research to investigate how a single neuron can solve a nonlinear pattern classification task. The study presents valuable insights that the location of synapses on dendritic branches, as well as synaptic plasticity of excitatory and inhibitory synapses, influences the ability of a neuron to discriminate combinations of sensory stimuli. However, the evidence presented is incomplete - the major conclusions are only partially supported by the data presented, and there are identified gaps between the supporting evidence and the major conclusions.

Reviewed by eLife