- Lab member: 2018-
Nicolas Perez is a PhD student working on understanding how spiking neural networks can use heterogeneous neuron properties to carry out multiresolution processing of sensory data.
Neural heterogeneity promotes robust learningTalk / 2021
Talk on neural heterogeneity by Dan Goodman.
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2021)
Neural heterogeneity promotes robust learning.
Perez-Nieves N, Leung VCH, Dragotti PL, Goodman DFM (2019)
Advantages of heterogeneity of parameters in spiking neural network training.
Cognitive Computational Neuroscience
- + 1 conference paper
- D. Mguni, et al. (2021)
Learning to Shape Rewards using a Game of Switching Controls