5 papers
A neural network that maintains and retrieves memories based on context
Hayoung Song, JeongJun Park, Qihong Lu +4
Every day, people continuously infer situational context and adjust the way they understand and remember the world. Context, signaled by the prefrontal cortex, is known to modulate…
A neural-astrocyte architecture implements a hybrid automaton for evidence accumulation
Giacomo Vedovati, Ilya E. Monosov, Thomas J. Papouin +1
Astrocytes are non-neuronal glial cells that are receiving widespread attention due to their emerging role in neural computation. In this paper, we propose and study dynamical mech…
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
Ruiqi Chen, Giacomo Vedovati, Todd Braver +1
Dynamical systems models such as recurrent neural networks (RNNs) are increasingly popular in theoretical neuroscience for hypothesis-generation and data analysis. Evaluating the d…
Synergistic pathways of modulation enable robust task packing within neural dynamics
Giacomo Vedovati, ShiNung Ching
Understanding how brain networks learn and manage multiple tasks simultaneously is of interest in both neuroscience and artificial intelligence. In this regard, a recent research t…
DFORM: Diffeomorphic vector field alignment for assessing dynamics across learned models
Ruiqi Chen, Giacomo Vedovati, Todd Braver +1
Dynamical system models such as Recurrent Neural Networks (RNNs) have become increasingly popular as hypothesis-generating tools in scientific research. Evaluating the dynamics in…