Sciweavers

41 search results - page 2 / 9
» Evolving Memory Cell Structures for Sequence Learning
Sort
View
IWSOS
2011
Springer
12 years 8 months ago
Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
Abstract This paper depicts and evaluates an evolutionary design process for generating a complex self-organizing multicellular system based on Cellular Automata (CA). We extend th...
Wilfried Elmenreich, István Fehérv&a...
CDES
2008
90views Hardware» more  CDES 2008»
13 years 6 months ago
Nanocompilation for the Cell Matrix Architecture
- The Cell Matrix Architecture is a massive array of dynamically self-configurable, uniformly connected, identical computational units. This architecture can enable efficient, prac...
Thomas Way, Rushikesh Katikar, Ch. Purushotham
FOSSACS
2005
Springer
13 years 11 months ago
Branching Cells as Local States for Event Structures and Nets: Probabilistic Applications
We study the concept of choice for true concurrency models such as prime event structures and safe Petri nets. We propose a dynamic variation of the notion of cluster previously in...
Samy Abbes, Albert Benveniste
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 11 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
ICANN
2010
Springer
13 years 3 months ago
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Vassilis Cutsuridis, Michael E. Hasselmo