Reservoir Computing

NICE Seminar 9

 
When?
Thursday 3 May 2012, 15:30 to 16:30
Where?
39BB02
Open to:
Public, Staff, Students
Speaker:
Mr Joe Chrol-Cannon

Reservoir Computing is a paradigm that has emerged during the last decade as viable model of how generic neural circuits can be applied to a range of classification and regression machine learning tasks.  Shown to deal elegantly with a range of real-world spatio-temporal signals such as speech and human motion, Reservoir Computing has demonstrated an advantage over more orthodox neural network techniques.

In this talk, we reveal our work on extending a Reservoir Computing model that can learn long-term, non-stationary data -- 50 years of weather data in our case.  To allow the neural circuit to adapt to seasonal and climatic changes over the time period, we apply a range of regulated Hebbian based plasticity rules to the neural synapses, as observed in real, biological neural networks from neuroscience.

Date:
Thursday 3 May 2012
Time:

15:30 to 16:30


Where?
39BB02
Open to:
Public, Staff, Students
Speaker:
Mr Joe Chrol-Cannon

Page Owner: sl0022
Page Created: Friday 16 December 2011 00:47:26 by sl0022
Last Modified: Thursday 3 May 2012 12:50:45 by sl0022
Expiry Date: Saturday 16 March 2013 00:40:48
Assembly date: Tue Mar 26 19:34:18 GMT 2013
Content ID: 70112
Revision: 5
Community: 1028