Understanding the Role of Recurrent Connections in Assembly Calculus
Name
CBMM-Memo-137.pdf
Size
1.49 MB
Format
Adobe PDF
Checksum (MD5)
e65f90495c6d837e2e3db4f6791d2ece
Author(s)
Rangamani, Akshay
Xie, Yi
Date Issued
July 6, 2022
Publisher
Center for Brains, Minds and Machines (CBMM)
Series/Report no.
CBMM Memo;137
Abstract
In this note, we explore the role of recurrent connections in Assembly Calculus through a number of experiments conducted on models with and without recurrent connections. We observe that as- semblies can be formed even in the absence of recurrent connections, but also find that models with recurrent connections are more robust to noisy inputs. We also investigate the spectral structure of the synaptic weights and find intriguing similarities between models of neural assemblies and associative memories.
Persistent DSpace Link
