2 citations · 2 across the 1 of their papers we have counts for
4 papers
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
Jesse A. Livezey, Joshua I. Glaser
Decoding behavior, perception, or cognitive state directly from neural signals has applications in brain-computer interface research as well as implications for systems neuroscienc…
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
David G. Clark, Jesse A. Livezey, Edward F. Chang +1
Neuromorphic architectures achieve low-power operation by using many simple spiking neurons in lieu of traditional hardware. Here, we develop methods for precise linear computation…
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
A fundamental challenge in neuroscience is to understand what structure in the world is represented in spatially distributed patterns of neural activity from multiple single-trial…
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has bee…