13 citations · 25 across the 7 of their papers we have counts for
7 papers
Dendritic structure enables powerful plasticity
Ben von Hünerbein, Federico Benitez, Kevin Max +10
Over the past decades, it has become increasingly clear that the complex morphology of cortical neurons is more than just a quirk of evolution, and that dendritic compartments serv…
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…
Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
Arno Granier, Katharina A Wilmes, Mihai A Petrovici +1
Neuronal circuits of the cerebral cortex are the structural basis of mammalian cognition. The same qualitative components and connectivity motifs are repeated across functionally s…
Prospective and retrospective coding in cortical neurons
Simon Brandt, Mihai Alexandru Petrovici, Walter Senn +2
Brains can process sensory information from different modalities at astonishing speed; this is surprising as the integration of inputs through the membrane of each individual neuro…
Two types of pyramidal cells and their role in temporal processing
Anh Duong Vo, Elisabeth Abs, Pau Vilimelis Aceituno +2
Recent work has provided new insights into the temporal specialization of Intratelencephalic (IT) and Pyramidal tract neurons (PT). However, functional and anatomical differences o…
Confidence and second-order errors in cortical circuits
Arno Granier, Mihai A. Petrovici, Walter Senn +1
Minimization of cortical prediction errors has been considered a key computational goal of the cerebral cortex underlying perception, action and learning. However, it is still uncl…
Current State and Future Directions for Learning in Biological Recurrent Neural Networks: A Perspective Piece
Luke Y. Prince, Roy Henha Eyono, Ellen Boven +9
We provide a brief review of the common assumptions about biological learning with findings from experimental neuroscience and contrast them with the efficiency of gradient-based l…