26 citations · 42 across the 5 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
q-bio.NC2017
The brain as an efficient and robust adaptive learner
Sophie Denève, Alireza Alemi, Ralph Bourdoukan
Understanding how the brain learns to compute functions reliably, efficiently and robustly with noisy spiking activity is a fundamental challenge in neuroscience. Most sensory and…
q-bio.NC2017★ 4 cited
Exponential Capacity in an Autoencoder Neural Network with a Hidden Layer
Alireza Alemi, Alia Abbara
A fundamental aspect of limitations in learning any computation in neural architectures is characterizing their optimal capacities. An important, widely-used neural architecture is…
q-bio.NC2017★ 12 cited
Learning arbitrary dynamics in efficient, balanced spiking networks using local plasticity rules
Alireza Alemi, Christian Machens, Sophie Denève +1
Understanding how recurrent neural circuits can learn to implement dynamical systems is a fundamental challenge in neuroscience. The credit assignment problem, i.e. determining the…