Recurrent connections in cortex and ANNs
Cortical computation seems to rely heavily on recurrent connections. In contrast, most ANNs and deep learning models only use feedforward connectivity and stateless neurons (an exception are recurrent networks used in sequence processing).
In this discussion group we will have a look at the similarities and differences between feedback signals in cortex and RNNs.
Timetable
| Day | Time | Location |
|---|---|---|
| Thu, 26.04.2018 | 21:00 - 22:00 | Panorama |
| Thu, 03.05.2018 | 16:00 - 17:00 | Panorama |
Moderator
Christian Jarvers
Members
Karla Burelo
Tobi Delbruck
Ismael Tito Freire González
Charlotte Frenkel
Álvaro González
Christian Jarvers
jacques kaiser
Jamie Knight
Sepp Kollmorgen
Renate Krause
Raphaela Kreiser
Dongchen Liang
Shih-Chii Liu
Christian David Márton
Timo Oess
Alpha Renner
Nicoletta Risi
Yulia Sandamirskaya
Saray Soldado Magraner
Michiel Van Dyck
Andre van Schaik
Aaron Voelker
Borys Wrobel
Yexin Yan
Guido Zarrella
Dmitrii Zendrikov