CLS Lab Capabillities

The CLS Lab's expertise is in two streams:

Machine learning

  • • Convolutional neural networks
  • • Recurrent neural networks
  • • Reinforcement learning
  • • Low-complexity and randomized methods
  • • Neuromorphic implementations
  • • Reconfigurable Computing: (read more:here)
  • • GPU and FPGA implementations
  • • Networks for parallel computing

Computational Neuroscience

  • • Mathematical modeling of neurobiological learning in neurons and synapses
  • • Computational modeling of the influence of stochastic biophysical processes on brain function (read more:here)