|![[Search]](/images/search.gif?1236096733)
|![[A-Z Index]](/images/az.gif?1236096733)
|![[Contact]](/images/contact.gif?1236096733)
||
![[Imperial College London]](/images/identifier2.gif?1241081395)
|
![[Talks@ee.imperial]](/images/talkslogosmall.gif?1241778087) |
Log inImperial users
Other users
No account?
Information onFinding a talk
Adding a talk
Syndicating talks
Who we are
Everything else
|
Complexity & Networks Group
Add to your list(s)
Send you e-mail reminders
Further detail
Complexity & Networks science is transdisciplinary. The aim is to improve our understanding of how complex systems consisting of large numbers of interacting components work through collaborative studies of concrete examples within specific fields. The Complexity & Networks Group organises seminars every second Tuesday plus day meetings on a broad set of topics related to fundamental and applied aspects of Complexity Science. 0 upcoming talks and 21 talks in the archive. Mitochondrial Variability
Entropies for complex systems - the world beyond Shannon
From nonlinear statistical mechanics to nonlinear quantum mehanicsNote unusual venue!!!!
Information and cognitive regulation: a predictive approach to learning, reasoning, creativity and their competitive interface with consciousness.
From activity fluctuations to points: compressing fMRI recordings into a discrete point-process allows insights on the dynamical regime of the brain.
Homeostatic mechanisms in the temporal organization of neuronal avalanches
Complex Neural Networks in Psychological Models
Beyond Markov models for networked complex systems
Rich clubs and control benefits: A resource-based perspective on core-periphery structures in human mobility networks
On the characterisation of emotions, and its relevance to the understanding of trust
Mathematical models for epidemic spread in socially structured populations
Hub synchronization
Cooperation and Competition in Network Tasks
Complex interactions in a social-economic-ecological system: trophy hunting of an endangered antelope, the mountain nyala, in Ethiopia.
How the brain works: Insights from complexity and self-organization
The Effects of Network Structure on the Stability of Genetic Control: From Models to Data
Negative weight percolation
Associative memory mechanisms in a neural network model of conscious and unconscious processes
Learning strict Nash Equilibria through reinformcement
Social Dynamics: Collective decision making
A model of visual time perception
If you have a question about this list, please contact: Henrik J Jensen. If you have a question about a specific talk, click on that talk to find its organiser. |
Other listsThe FuturICT Flagship: Creating Socially Interactive Information Technologies for a Sustainable Future Featured talks Type the title of a new list hereOther talksControlled quantum dynamics Analysis and design of extremum seeking controllers |
Nick Jones, Department of Mathematics, Imperial College London.
Tuesday 11 December 2012, 12:00-13:00