Embedding optimization reveals long-lasting history dependence in neural spiking activity.
Lucas RudeltDaniel González MarxMichael WibralViola PriesemannPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- long lasting
- bio inspired
- neuron model
- spike trains
- hebbian learning
- biologically plausible
- long term
- optimization problems
- spiking neural networks
- network architecture
- neural network
- optimization process
- optimization algorithm
- global optimization
- learning rules
- spiking neurons
- constrained optimization
- optimization method
- single neuron
- vector space
- digital images
- basal ganglia
- high dimensional
- reinforcement learning