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» Spike Trains in Spiking Neural P Systems
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ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
14 years 1 months ago
A low power merge cell processor for real-time spike sorting in implantable neural prostheses
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
M. D. Linderman, T. H. Meng
ICANN
1997
Springer
13 years 11 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...
IWANN
2011
Springer
12 years 10 months ago
Isometric Coding of Spiking Haptic Signals by Peripheral Somatosensory Neurons
Abstract. We study how primary tactile afferents encode relevant contact features to mediate early processing of haptic information. In this paper, we apply metrical information t...
Romain Brasselet, Roland S. Johansson, Angelo Arle...
IJCNN
2007
IEEE
14 years 1 months ago
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
Il Park, António R. C. Paiva, Jose C. Princ...
NECO
2007
108views more  NECO 2007»
13 years 7 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...