Neuromorphic Deep Learning Machines

Article, Preprint English OPEN
Emre O. Neftci; Charles Augustine; Somnath Paul; Georgios Detorakis;
(2017)
  • Publisher: Frontiers Media S.A.
  • Journal: Frontiers in Neuroscience,volume 11 (issn: 1662-4548, eissn: 1662-453X)
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC5478701, doi: 10.3389/fnins.2017.00324, doi: 10.3389/fnins.2017.00324/full
  • Subject: feedback alignment | backpropagation algorithm | Neurosciences. Biological psychiatry. Neuropsychiatry | Computer Science - Artificial Intelligence | RC321-571 | Neuroscience | cs.AI | embedded cognition | spiking neural networks | Original Research | stochastic processes | cs.NE | Computer Science - Neural and Evolutionary Computing
    arxiv: Quantitative Biology::Neurons and Cognition

An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is t... View more
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