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05/19/2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
Decoding behavior, perception, or cognitive state directly from neural s...
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05/23/2019
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Linear dimensionality reduction methods are commonly used to extract low...
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05/23/2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Interrogating Learned Representations
Interpretable representations of data are useful for testing a hypothesi...
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05/22/2018
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
Neuromorphic architectures achieve low-power operation by using many sim...
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03/26/2018
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
A fundamental challenge in neuroscience is to understand what structure ...
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05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
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12/20/2014