Abstract. Globally Asynchronous Locally Synchronous (GALS) Systems have provoked renewed interest over recent years as they have the potential to combine the benefits of asynchron...
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
Efficient and effective visual presentation of tensor fields is an ongoing research topic in scientific visualization. HyperLIC is a powerful method to visualize 2D and 3D tensor ...
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
Large-scale parsing is still a complex and timeconsuming process, often so much that it is infeasible in real-world applications. The parsing system described here addresses this ...