Supervised Learning Algorithm for Spiking Neural Networks

 
When?
Thursday 10 March 2011, 15:00 to 16:00
Where?
39BB02
Open to:
Students, Staff
Speaker:
Mrs Iona Sporea

Neural networks based on temporal encoding with single spikes are biologically more realistic models as experimental evidence suggests that biological neural systems use the exact time of action potentials to encode information.  Moreover, it has been demonstrated that networks of spiking neurons are computationally more powerful than sigmoidal neurons.  In order to reach the computational power of spiking neurons, efficient learning algorithms must be used.  This presentation explores the available supervised learning methods in artificial and spiking neural networks

Part of the NICE series of seminars

Date:
Thursday 10 March 2011
Time:

15:00 to 16:00


Where?
39BB02
Open to:
Students, Staff
Speaker:
Mrs Iona Sporea

Page Owner: eih206
Page Created: Thursday 3 March 2011 17:15:31 by eih206
Last Modified: Monday 7 March 2011 13:49:56 by eih206
Expiry Date: Sunday 3 June 2012 17:13:21
Assembly date: Tue Mar 26 17:59:43 GMT 2013
Content ID: 49577
Revision: 2
Community: 1028