Sciweavers

26 search results - page 2 / 6
» Information-Geometric Measure for Neural Spikes
Sort
View
ISCAS
2007
IEEE
86views Hardware» more  ISCAS 2007»
14 years 1 months ago
Spike discrimination using amplitude measurements with a low-power CMOS neural amplifier
Timothy K. Horiuchi, Dorielle Tucker, Kevin Boyle,...
ICANN
2001
Springer
14 years 19 hour ago
Using Depressing Synapses for Phase Locked Auditory Onset Detection
Auditory onsets are robust features of sounds: because the direct path from sound source to ear is the shortest path, the onset is unaffected by reverberation. Many cells in the c...
Leslie S. Smith
ICANN
2010
Springer
13 years 8 months ago
Cell Microscopic Segmentation with Spiking Neuron Networks
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...
BC
2007
81views more  BC 2007»
13 years 7 months ago
Cross-intensity functions and the estimate of spike-time jitter
Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity fun...
Richard H. R. Hahnloser
NCI
2004
132views Neural Networks» more  NCI 2004»
13 years 9 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...