[Extracted from DiVA, the publication database at KTH.]

Lansner, A.; Benjaminsson, S.; Johansson, C. (2009):
From ANN to Biomimetic Information Processing.
[Conference paper] OSPEL Workshop on Bio-inspired Signal Processing Barcelona, SPAIN, 2007; BIOLOGICALLY INSPIRED SIGNAL PROCESSING FOR CHEMICAL SENSING 33-43 [Details]
Johansson, C.; Lansner, A. (2009):
Implementing Plastic Weights in Neural Networks using Low Precision Arithmetic.
Neurocomputing 72: 968-972 [Details]
Johansson, C.; Lansner, A. (2007):
Towards Cortex Sized Artificial Neural Systems.
Neural Networks 20: 48-61 [Details]
Johansson, C.; Rehn, M.; Lansner, A. (2006):
Attractor neural networks with patchy connectivity.
Neurocomputing 69: 627-633 [Details]
Johansson, C.; Ekeberg, Ö.; Lansner, A. (2006):
Clustering of stored memories in an attractor network with local competition.
International Journal of Neural Systems 16: 393-403 [Details]
Johansson, C.; Lansner, A. (2005):
On the Storage Capacity of an Abstract Cortical Model with Silent Hypercolumns.
Report [Details]
Johansson, C. (2004):
Towards Cortex Isomorphic Attractor Neural Networks.
Licentiate thesis, comprehensive summary [Details]
Johansson, C.; Lansner, A. (2004):
BCPNN Implemented with Fixed-Point Arithmetic.
Report [Details]
Johansson, C.; Lansner, A. (2004):
Towards cortex sized artificial nervous systems.
[Conference paper] 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems. Wellington Inst Technol, Wellington, NEW ZEALAND. SEP, 2004; KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS 959-966 [Details]
Johansson, C.; Lansner, A. (2004):
Towards cortex sized attractor ANN.
[Conference paper] 1st International Workshop on Biologically Inspired Approaches to Advanced Information Technology. EPFL, Lausanne, SWITZERLAND. JAN 29-30, 2004; BIOLOGICALLY INSPIRED APPROACHES TO ADVANCED INFORMATION TECHNOLOGY 63-79 [Details]
Johansson, C.; Sandberg, A.; Lansner, A. (2002):
A Neural Network with Hypercolumns.
[Conference paper] In Proc. International Conference on Artificial Neural Networks - ICANN’02; 192-197 [Details]