132 citations · 145 across the 3 of their papers we have counts for
4 papers
Representation learning in cerebellum-like structures
Lucas Rudelt, Fabian Mikulasch, Viola Priesemann +1
Animals use past experiences to adapt future behavior. To enable this rapid learning, vertebrates and invertebrates have evolved analogous neural structures like the vertebrate cer…
Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program
Ido Aizenbud, Nicholas Audette, Ryszard Auksztulewicz +50
This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining n…
Dendritic predictive coding: A theory of cortical computation with spiking neurons
Fabian A. Mikulasch, Lucas Rudelt, Michael Wibral +1
Top-down feedback in cortex is critical for guiding sensory processing, which has prominently been formalized in the theory of hierarchical predictive coding (hPC). However, experi…
Local dendritic balance enables learning of efficient representations in networks of spiking neurons
Fabian Alexander Mikulasch, Lucas Rudelt, Viola Priesemann
How can neural networks learn to efficiently represent complex and high-dimensional inputs via local plasticity mechanisms? Classical models of representation learning assume that…