163 citations · 369 across the 7 of their papers we have counts for
7 papers
An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications
Hyeryung Jang, Osvaldo Simeone, Brian Gardner +1
Spiking neural networks (SNNs) are distributed trainable systems whose computing elements, or neurons, are characterized by internal analog dynamics and by digital and sparse synap…
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network
Joseph Chrol-Cannon, Yaochu Jin, André Grüning
Polychronous neural groups are effective structures for the recognition of precise spike-timing patterns but the detection method is an inefficient multi-stage brute force process…
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding
Brian Gardner, André Grüning
Precise spike timing as a means to encode information in neural networks is biologically supported, and is advantageous over frequency-based codes by processing input features on a…
Encoding Spike Patterns in Multilayer Spiking Neural Networks
Brian Gardner, Ioana Sporea, André Grüning
Information encoding in the nervous system is supported through the precise spike-timings of neurons; however, an understanding of the underlying processes by which such representa…
Supervised Learning in Multilayer Spiking Neural Networks
Ioana Sporea, André Grüning
The current article introduces a supervised learning algorithm for multilayer spiking neural networks. The algorithm presented here overcomes some limitations of existing learning…
Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding
André Grüning, Ioana Sporea
Few algorithms for supervised training of spiking neural networks exist that can deal with patterns of multiple spikes, and their computational properties are largely unexplored. W…
The Accumulation Theory of Ageing
André Grüning, Aasis Vinayak PG
Lifespan distributions of populations of quite diverse species such as humans and yeast seem to surprisingly well follow the same empirical Gompertz-Makeham law, which basically pr…