Aaron Spieler

Computational neuroscientist passionate about deep learning, neuroscience, and phenomenological neuron modeling with applications to long-range prediction tasks.

Aaron Spieler

Aaron Spieler is a computational neuroscientist passionate about exploring the intersection of deep learning and neuroscience. After earning his Bachelor’s in Computer Science from the University of Potsdam, he undertook an extended internship at Amazon Web Services working in deep learning based forecasting, before further specializing with a Master’s in Computational Neuroscience at the University of Tübingen. Throughout his Master’s thesis and a subsequent internship at the Max Planck Institute for Intelligent Systems, Aaron focused on phenomenological neuron modeling with applications to long-range prediction tasks. Pursuing this work allowed him to collaborate with excellent researchers from diverse backgrounds, including Prof. Bernhard Schölkopf and Prof. Anna Levina.

Contributions

Activity Timeline

2024

The ELM Neuron: An Expressive and Efficient Cortical Neuron Model Can Solve Long-Horizon Tasks

February 27

Workshops

The Expressive Leaky Memory (ELM) neuron leverages few memory states and nonlinear dendritic processing to solve long-horizon tasks efficiently.

Aaron Spieler

Contributions

Activity Timeline

The ELM Neuron: An Expressive and Efficient Cortical Neuron Model Can Solve Long-Horizon Tasks

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