Titlebook: Artificial Neural Networks and Machine Learning- ICANN 2011; 21st International C Timo Honkela,W?odzis?aw Duch,Samuel Kaski Conference proc

Accomplish

Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons,ral output signals are encoded as a sum of shifted power-law kernels. Simple greedy thresholding can compute this encoding, and spike-trains are then exactly the signal’s fractional derivative. Fractionally predictive spike-coding exploits natural statistics and is consistent with observed spike-rat

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nonchalance

Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations,alled EMBRACE (Emulating Biologically-inspiRed ArChitectures in hardware). The novel adaptive NoC router provides the inter-neuron connectivity for EMBRACE, maintaining router communication and avoiding dropped router packets by adapting to router traffic congestion. The router also adapts to NoC tr

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Recessive

Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture,er to interact in this complex and changing environment, according to the active perception theory, the agent needs to learn the correlations between its actions and the changes they induce in the environment. In the perspective of a bio-inspired architecture for the learning of multi-modal correlat

Missile

Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism,with the forward projection. However, the wide terminal arbors of individual axons limit the precision of such anatomical reciprocity. This leaves open the question of whether more precise reciprocal connectivity is obtainable through the adjustment of synaptic strengths. We have found that such a s

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FEMUR

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An Improved Training Algorithm for the Linear Ranking Support Vector Machine,, and . the average number of non-zero features per example. The method generalizes the fastest previously known approach, which achieves the same efficiency only in restricted special cases. The excellent scalability of the proposed method is demonstrated experimentally.

critic

Extending Tree Kernels with Topological Information,atching substructures are considered independently from their position within the trees. However, when a match happens in similar positions, more strength could reasonably be given to it. Here, we give a systematic way to enrich a large class of tree kernels with this kind of information without aff