5 papers · 1 filter
Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning
Alexandra Voce, Emmanouil Giannakakis, Claudia Clopath
The cerebellum and cerebral cortex form tightly coupled circuits thought to support flexible and efficient temporal processing. How this interaction shapes cortical learning dynami…
Diffusion of Neuromodulators for Temporal Credit Assignment
João Barretto-Bittar, Anna Levina, Emmanouil Giannakakis +1
Biological learning achieves temporal credit assignment despite sparse and imprecise feedback, often relying on neuromodulatory signals acting over space and time. Here, we introdu…
Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent
Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina
Developing reliable mechanisms for continuous local learning is a central challenge faced by biological and artificial systems. Yet, how the environmental factors and structural co…
Revising clustering and small-worldness in brain networks
Tanguy Fardet, Emmanouil Giannakakis, Lukas Paulun +1
As more connectome data become available, the question of how to best analyse the structure of biological neural networks becomes increasingly pertinent. In brain networks, knowing…
Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents
Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina
The evolutionary balance between innate and learned behaviors is highly intricate, and different organisms have found different solutions to this problem. We hypothesize that the e…