
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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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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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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Spiking Linear Dynamical Systems on Neuromorphic Hardware for LowPower BrainMachine Interfaces
Neuromorphic architectures achieve lowpower operation by using many sim...
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Deep learning as a tool for neural data analysis: speech classification and crossfrequency coupling in human sensorimotor cortex
A fundamental challenge in neuroscience is to understand what structure ...
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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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Discovering Hidden Factors of Variation in Deep Networks
Deep learning has enjoyed a great deal of success because of its ability...
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Jesse A. Livezey
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