Author

Daniel Burnham

University of Washington

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

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Eric Shea‐BrowniD· 1 shared Ştefan MihalaşiD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperNeuroscience

Eric Shea‐BrownORCID

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1 paper

Recent·Most cited

Learning to Predict in Networks with Heterogeneous and Dynamic Synapses

Daniel Burnham, Eric Shea‐Brown, Ştefan Mihalaş

The paper shows that recurrent neural networks with short-term synaptic plasticity outperform standard models in predictive tasks by leveraging learned synaptic time constants and activity history encoding.

bioRxiv · May 18, 2021 · PreprintNeuroscience