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ICASSP
2009
IEEE

Consistent recovery of stimuli encoded with a neural ensemble

10 years 4 months ago
Consistent recovery of stimuli encoded with a neural ensemble
We consider the problem of reconstructing finite energy stimuli from a finite number of contiguous spikes. The reconstructed signal satisfies a consistency condition: when passed through the same neuron, it triggers the same spike train as the original stimulus. The recovered stimulus has to also minimize a quadratic smoothness criterion. We show that under these conditions, the problem of recovery has a unique solution and provide an explicit reconstruction algorithm for stimuli encoded with a population of integrate-and-fire neurons. We demonstrate that the quality of reconstruction improves as the size of the population increases. Finally, we demonstrate the efficiency of our recovery method for an encoding circuit based on threshold spiking that arises in neuromorphic engineering.
Aurel A. Lazar, Eftychios A. Pnevmatikakis
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Aurel A. Lazar, Eftychios A. Pnevmatikakis
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