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» Modeling spiking neural networks
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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
12 years 7 months ago
Compressive Sensing of Neural Action Potentials Using a Learned Union of Supports
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
Zainul Charbiwala, Vaibhav Karkare, Sarah Gibson, ...
IWINAC
2005
Springer
14 years 1 months ago
Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons
We have explored the role of the interaction of slow and fast intracellular dynamics in generating precise spiking-bursting activity in a model of the heartbeat central pattern gen...
Fabiano Baroni, Joaquín J. Torres, Pablo Va...
NIPS
2003
13 years 9 months ago
Predicting Speech Intelligibility from a Population of Neurons
A major issue in evaluating speech enhancement and hearing compensation algorithms is to come up with a suitable metric that predicts intelligibility as judged by a human listener...
Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Ha...
BC
2007
107views more  BC 2007»
13 years 7 months ago
Decoding spike train ensembles: tracking a moving stimulus
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Enrico Rossoni, Jianfeng Feng
NN
2008
Springer
13 years 7 months ago
The Emergent neural modeling system
Brad Aisa, Brian Mingus, Randy O'Reilly