3 papers
cs.NE2026
Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks
Daniele Corradetti, Renato Corradetti
We present a biologically detailed extension of the classical Hopfield/Marr auto-associative memory model for CA3, implementing ten populations (two asymmetric pyramidal subtypes,…
q-bio.NC2024
Synthetic Data for Discriminating Serotonergic Neurons using Convolutional Neural Networks
Daniele Corradetti, Alessandro Bernardi, Renato Corradetti
Serotonergic neurons in the raphe nuclei exhibit diverse electrophysiological properties and functional roles, yet conventional identification methods rely on restrictive criteria…
q-bio.NC2024
Deep Learning Models for Atypical Serotonergic Cells Recognition
Daniele Corradetti, Alessandro Bernardi, Renato Corradetti
The serotonergic system modulates brain processes via functionally distinct subpopulations of neurons with heterogeneous properties, including their electrophysiological activity.…