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» Modeling spiking neural networks
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BSN
2011
IEEE
233views Sensor Networks» more  BSN 2011»
14 years 5 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
15 years 11 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
15 years 7 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»
15 years 6 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
15 years 5 months ago
The Emergent neural modeling system
Brad Aisa, Brian Mingus, Randy O'Reilly