Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons

DOI10.1162/NECO.2008.06-07-559zbMath1148.92008OpenAlexW2162572758WikidataQ42181323 ScholiaQ42181323MaRDI QIDQ3536231

Aurel A. Lazar, Eftychios A. Pnevmatikakis

Publication date: 20 November 2008

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3816090

zbMATH Keywords

t-transform

Mathematics Subject Classification ID

Applications of functional analysis in biology and other sciences (46N60) Neural biology (92C20)

Related Items (11)

Reconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals ⋮ Massively parallel neural circuits for stereoscopic color vision: encoding, decoding and identification ⋮ A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons ⋮ The power of connectivity: identity preserving transformations on visual streams in the spike domain ⋮ Spiking neural circuits with dendritic stimulus processors. Encoding, decoding, and identification in reproducing kernel Hilbert spaces ⋮ Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data ⋮ Reconstruction of sensory stimuli encoded with integrate-and-fire neurons with random thresholds ⋮ Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains ⋮ Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines ⋮ Unnamed Item ⋮ Unnamed Item

Uses Software

• Auditory Toolbox

Cites Work

• A density criterion for frames of complex exponentials
• Perfect Recovery and Sensitivity Analysis of Time Encoded Bandlimited Signals
• Fast Population Coding
• Efficient Coding of Time-Relative Structure Using Spikes
• GENERAL FRAMEWORK FOR CONSISTENT SAMPLING IN HILBERT SPACES

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