MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Center for Brains, Minds & Machines
  • Publications
  • CBMM Memo Series
  • View Item
  • DSpace@MIT Home
  • Center for Brains, Minds & Machines
  • Publications
  • CBMM Memo Series
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Understanding the Role of Recurrent Connections in Assembly Calculus

Author(s)
Rangamani, Akshay; Xie, Yi
Thumbnail
DownloadCBMM-Memo-137.pdf (1.494Mb)
Metadata
Show full item record
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.
Date issued
2022-07-06
URI
https://hdl.handle.net/1721.1/143618
Publisher
Center for Brains, Minds and Machines (CBMM)
Series/Report no.
CBMM Memo;137

Collections
  • CBMM Memo Series

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.