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ICAI
2004
13 years 6 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
JCNS
2008
117views more  JCNS 2008»
13 years 5 months ago
Dendritic action potentials connect distributed dendrodendritic microcircuits
Lateral inhibition of cells surrounding an excited area is a key property of sensory systems, sharpening the preferential tuning of individual cells in the presence of closely rela...
Michele Migliore, Gordon M. Shepherd
JCNS
1998
65views more  JCNS 1998»
13 years 5 months ago
Synchronization and Oscillatory Dynamics in Heterogeneous, Mutually Inhibited Neurons
Abstract. We study some mechanisms responsible for synchronous oscillations and loss of synchrony at physiologically relevant frequencies 10-200 Hz in a network of heterogeneous ...
John A. White, Carson C. Chow, Jason Ritt, Cristin...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 4 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...