Search Results for author: Kenneth A. Norman

Found 8 papers, 5 papers with code

Learning to Perform Role-Filler Binding with Schematic Knowledge

1 code implementation24 Feb 2019 Catherine Chen, Qihong Lu, Andre Beukers, Christopher Baldassano, Kenneth A. Norman

We can perform these bindings for arbitrary fillers -- we understand this sentence even if we have never heard the names "Alice," "tea," or "Bob" before.

Question Answering Sentence

Shared Representational Geometry Across Neural Networks

2 code implementations28 Nov 2018 Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

Different neural networks trained on the same dataset often learn similar input-output mappings with very different weights.

Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks

no code implementations11 Sep 2018 C. Daniel Greenidge, Noam Miller, Kenneth A. Norman

Emergent is a software package that uses the AdEx neural dynamics model and LEABRA learning algorithm to simulate and train arbitrary recurrent neural network architectures in a biologically-realistic manner.

BIG-bench Machine Learning

Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets

no code implementations16 Aug 2016 Michael J. Anderson, Mihai Capotă, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman

The scale of functional magnetic resonance image data is rapidly increasing as large multi-subject datasets are becoming widely available and high-resolution scanners are adopted.

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