Search Results for author: Stefan Mihalas

Found 4 papers, 2 papers with code

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators

1 code implementation2 Jun 2022 Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

Finally, we derive an in-silico implementation of ModProp that could serve as a low-complexity and causal alternative to backpropagation through time.

Convolutional neural networks with extra-classical receptive fields

no code implementations NeurIPS Workshop Neuro_AI 2019 Brian Hu, Stefan Mihalas

To address these issues, we combine traditional supervised learning via backpropagation with a specialized unsupervised learning rule to learn lateral connections between neurons within a convolutional neural network.

High resolution neural connectivity from incomplete tracing data using nonnegative spline regression

1 code implementation NeurIPS 2016 Kameron Decker Harris, Stefan Mihalas, Eric Shea-Brown

We demonstrate the efficacy of a low rank version on visual cortex data and discuss the possibility of extending this to a whole-brain connectivity matrix at the voxel scale.

Matrix Completion regression

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