Search Results for author: Andreas Stöckel

Found 4 papers, 2 papers with code

Discrete Function Bases and Convolutional Neural Networks

1 code implementation9 Mar 2021 Andreas Stöckel

We characterize the performance of these bases in a delay computation task, and as fixed temporal convolutions in neural networks.

Constructing Dampened LTI Systems Generating Polynomial Bases

no code implementations26 Feb 2021 Andreas Stöckel

We present an alternative derivation of the LTI system underlying the Legendre Delay Network (LDN).

Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework

no code implementations20 Oct 2017 Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith

This, in particular, significantly affects the influence of inhibitory signals on the neuronal dynamics.

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