Search Results for author: William F. Podlaski

Found 3 papers, 2 papers with code

Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks

1 code implementation18 Jul 2023 William F. Podlaski, Christian K. Machens

Overall, our work proposes a new perspective on spiking networks that may serve as a starting point for a mechanistic understanding of biological spike-based computation.

Nonlinear computations in spiking neural networks through multiplicative synapses

1 code implementation8 Sep 2020 Michele Nardin, James W Phillips, William F. Podlaski, Sander W Keemink

In contrast, the required connectivity for any computation in the form of a linear dynamical system can be directly derived and understood with the spike coding network (SCN) framework.

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