From the 1 of 5 linked papers with an AI index.
13 citations · 13 across the 1 of their papers we have counts for
5 papers
Teaching signal synchronization in deep neural networks with prospective neurons
Nicolas Zucchet, Qianqian Feng, Axel Laborieux +3
The paper proposes adding an adaptive current to neurons so they can predict future inputs, allowing teaching signals to stay synchronized with slowly integrating, hierarchically o…
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…
A Variational Latent Equilibrium for Learning in Neuronal Circuits
Simon Brandt, Paul Haider, Walter Senn +2
Brains remain unrivaled in their ability to recognize and generate complex spatiotemporal patterns. While AI is able to reproduce some of these capabilities, deep learning algorith…
Multihead self-attention in cortico-thalamic circuits
Arno Granier, Walter Senn
Both biological cortico-thalamic networks and artificial transformer networks use canonical computations to perform a wide range of cognitive tasks. In this work, we propose that t…
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…