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» Modeling spiking neural networks
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ICONIP
2010
13 years 6 months ago
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
Peter Stratton, Janet Wiles
NIPS
2003
13 years 9 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
14 years 2 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
ICANN
2009
Springer
14 years 9 days ago
Learning from Examples to Generalize over Pose and Illumination
We present a neural system that recognizes faces under strong variations in pose and illumination. The generalization is learnt completely on the basis of examples of a subset of p...
Marco K. Müller, Rolf P. Würtz
ICANN
1997
Springer
13 years 12 months ago
Simulation of Spiking Neural Networks on Different Hardware Platforms
: Substantial evidence indicates that the time structure of neuronal spike trains is relevant in neuronal signal processing. Bio-inspired spiking neural networks are taking these r...
Axel Jahnke, Tim Schönauer, Ulrich Roth, K. M...