User profiles for Kristofer E. Bouchard
 | Kristofer E. BouchardNeuroscientist at Lawrence Berkeley National Laboratory and UC Berkeley Verified email at lbl.gov Cited by 2246 |
Functional organization of human sensorimotor cortex for speech articulation
Speaking is one of the most complex actions that we perform, but nearly all of us learn to do
it effortlessly. Production of fluent speech requires the precise, coordinated movement of …
it effortlessly. Production of fluent speech requires the precise, coordinated movement of …
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
BigNeuron is an open community bench-testing platform with the goal of setting open
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image …
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image …
The Neurodata Without Borders ecosystem for neurophysiological data science
The neurophysiology of cells and tissues are monitored electrophysiologically and optically
in diverse experiments and species, ranging from flies to humans. Understanding the brain …
in diverse experiments and species, ranging from flies to humans. Understanding the brain …
Dynamic encoding of speech sequence probability in human temporal cortex
Sensory processing involves identification of stimulus features, but also integration with the
surrounding sensory and cognitive context. Previous work in animals and humans has …
surrounding sensory and cognitive context. Previous work in animals and humans has …
[HTML][HTML] Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
JA Livezey, KE Bouchard… - PLoS computational …, 2019 - journals.plos.org
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 …
represented in spatially distributed patterns of neural activity from multiple single-trial …
Spatial resolution dependence on spectral frequency in human speech cortex electrocorticography
Objective. Electrocorticography (ECoG) has become an important tool in human neuroscience
and has tremendous potential for emerging applications in neural interface technology. …
and has tremendous potential for emerging applications in neural interface technology. …
[HTML][HTML] Plant single-cell solutions for energy and the environment
Progress in sequencing, microfluidics, and analysis strategies has revolutionized the granularity
at which multicellular organisms can be studied. In particular, single-cell transcriptomics …
at which multicellular organisms can be studied. In particular, single-cell transcriptomics …
Human sensorimotor cortex control of directly measured vocal tract movements during vowel production
During speech production, we make vocal tract movements with remarkable precision and
speed. Our understanding of how the human brain achieves such proficient control is limited, …
speed. Our understanding of how the human brain achieves such proficient control is limited, …
[HTML][HTML] Robust, automated sleep scoring by a compact neural network with distributional shift correction
Studying the biology of sleep requires the accurate assessment of the state of experimental
subjects, and manual analysis of relevant data is a major bottleneck. Recently, deep learning …
subjects, and manual analysis of relevant data is a major bottleneck. Recently, deep learning …
Speech map in the human ventral sensory-motor cortex
… Author links open overlay panel David Conant 1 2 , Kristofer E Bouchard 1 2 , Edward F …
Bouchard et al. used principal component analysis to transform the population neural activity …
Bouchard et al. used principal component analysis to transform the population neural activity …