1 citations · 1 across the 3 of their papers we have counts for
4 papers
Fixed point compositionality via low-rank gluing rules in inhibition-dominated threshold-linear networks
Juliana Londono Alvarez
Brains routinely generate highly flexible and complex behaviors on a relatively stable structure and limited resources. A key mechanism underlying this ability is compositionality,…
Attractor-based models for sequences and pattern generation in neural circuits
Juliana Londono Alvarez
Neural circuits in the brain perform a variety of essential functions, including input classification, pattern completion, and the generation of rhythms and oscillations that suppo…
Sequence generation in inhibition-dominated neural networks
Caitlyn Parmelee, Juliana Londono Alvarez, Carina Curto +1
This is a brief overview of results from [arXiv:2107.10244, ref 11], on network architectures that produce sequential dynamics in a special family of inhibition-dominated neural ne…
Sequential attractors in combinatorial threshold-linear networks
Caitlyn Parmelee, Juliana Londono Alvarez, Carina Curto +1
Sequences of neural activity arise in many brain areas, including cortex, hippocampus, and central pattern generator circuits that underlie rhythmic behaviors like locomotion. Whil…