Result 1 to 20 of 47 total
Evaluating the generalisation capability of a CMOS based synapse. (English)
Neurocomputing 83, 188-197 (2012).
1
On two-layer brain-inspired hierarchical topologies ‒ A Rent’s rule approach. (English)
Stenström, Per (ed.), Transactions on High-Performance Embedded Architectures and Compilers IV. Berlin: Springer (ISBN 978-3-642-24567-1/pbk). Lecture Notes in Computer Science 6760. Journal Subline, 311-333 (2011).
2
Adaptive routing strategies for large scale spiking neural network hardware implementations. (English)
Honkela, Timo (ed.) et al., Artificial neural networks and machine learning ‒ ICANN 2011. 21st international conference on artificial neural networks, Espoo, Finland, June 14‒17, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-21734-0/pbk). Lecture Notes in Computer Science 6791, 77-84 (2011).
3
Receptive field optimisation and supervision of a fuzzy spiking neural network. (English)
Neural Netw. 24, No. 3, 247-256 (2011).
4
On two-layer brain-inspired hierarchical topologies - A rent’s rule approach - (English)
T. HiPEAC 4, 311-333 (2011).
5
Adaptive routing strategies for large scale spiking neural network hardware implementations (English)
ICANN (1), 77-84 (2011).
6
Case study on a self-organizing spiking neural network for robot navigation. (English)
Int. J. Neural Syst. 20, No. 6, 501-508 (2010).
7
An STDP training algorithm for a spiking neural network with dynamic threshold neurons. (English)
Int. J. Neural Syst. 20, No. 6, 463-480 (2010).
8
An efficient, high-throughput adaptive NoC router for large scale spiking neural network hardware implementations. (English)
Tempesti, Gianluca (ed.) et al., Evolvable systems: From biology to hardware. 9th international conference, ICES 2010, York, UK, September 6‒8, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15322-8/pbk). Lecture Notes in Computer Science 6274, 133-144 (2010).
9
Computing with biologically inspired neural oscillators: application to colour image segmentation. (English)
Adv. Artif. Intell. 2010, Article ID 405073, 21 p. (2010).
10
Computing with biologically inspired neural oscillators: application to colour image segmentation (English)
Adv. Artificial Intellegence 2010 (2010).
11
SWAT: A spiking neural network training algorithm for classification problems (English)
IEEE Transactions on Neural Networks 21, No. 11, 1817-1830 (2010).
12
An efficient, high-throughput adaptive noc router for large scale spiking neural network hardware implementations (English)
ICES, 133-144 (2010).
13
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition (English)
IJCNN, 1-6 (2010).
14
Application of biologically inspired neural oscillators to colour image segmentation (English)
IJCNN, 1-8 (2010).
15
A reconfigurable and biologically inspired paradigm for computation using network-on-chip and spiking neural networks. (English)
Int. J. Reconfig. Comput. 2009, Article ID 908740, 13 p. (2009).
16
Reduced interconnects in neural networks using a time multiplexed architecture based on quantum devices (English)
NanoNet, 242-250 (2009).
17
On two-layer hierarchical networks how does the brain do this? (English)
NanoNet, 231-241 (2009).
18
Neuro inspired reconfigurable architecture for hardware/software co-design (English)
SoCC, 287-290 (2009).
19
A solid-state neuron for spiking neural network implementation. (English)
Eng. Lett. 16, No. 1, 83-89 (2008).
20
Result 1 to 20 of 47 total
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