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07/25/2023
A large language model-assisted education tool to provide feedback on open-ended responses
Open-ended questions are a favored tool among instructors for assessing ...
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06/22/2022
Neural Networks as Paths through the Space of Representations
Deep neural networks implement a sequence of layer-by-layer operations t...
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03/22/2022
Clustering units in neural networks: upstream vs downstream information
It has been hypothesized that some form of "modular" structure in artifi...
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01/19/2022
Prospective Learning: Back to the Future
Research on both natural intelligence (NI) and artificial intelligence (...
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06/08/2021
Object Based Attention Through Internal Gating
Object-based attention is a key component of the visual system, relevant...
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06/18/2020
An adversarial algorithm for variational inference with a new role for acetylcholine
Sensory learning in the mammalian cortex has long been hypothesized to i...
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10/03/2019
Spike-based causal inference for weight alignment
In artificial neural networks trained with gradient descent, the weights...
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10/02/2019
Identifying Weights and Architectures of Unknown ReLU Networks
The output of a neural network depends on its parameters in a highly non...
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07/24/2019
Movement science needs different pose tracking algorithms
Over the last decade, computer science has made progress towards extract...
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07/15/2019
What does it mean to understand a neural network?
We can define a neural network that can learn to recognize objects in le...
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06/10/2019
Tackling Climate Change with Machine Learning
Climate change is one of the greatest challenges facing humanity, and we...
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05/21/2018
The Roles of Supervised Machine Learning in Systems Neuroscience
Over the last several years, the use of machine learning (ML) in neurosc...
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08/02/2017
Machine learning for neural decoding
While machine learning tools have been rapidly advancing, the majority o...
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04/13/2016
Quantifying mesoscale neuroanatomy using X-ray microtomography
Methods for resolving the 3D microstructure of the brain typically start...
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05/04/2015
Self-Expressive Decompositions for Matrix Approximation and Clustering
Data-aware methods for dimensionality reduction and matrix decomposition...
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02/27/2015