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Items: 22

1.

Laminar origin of evoked ECoG high-gamma activity.

Dougherty ME, Nguyen APQ, Baratham VL, Bouchard KE.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:4391-4394. doi: 10.1109/EMBC.2019.8856786.

PMID:
31946840
2.

Sparse, Predictive, and Interpretable Functional Connectomics with UoILasso.

Sachdeva PS, Bhattacharyya S, Bouchard KE.

Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:1965-1968. doi: 10.1109/EMBC.2019.8856316.

PMID:
31946284
3.

Robust, automated sleep scoring by a compact neural network with distributional shift correction.

Barger Z, Frye CG, Liu D, Dan Y, Bouchard KE.

PLoS One. 2019 Dec 13;14(12):e0224642. doi: 10.1371/journal.pone.0224642. eCollection 2019.

4.

Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex.

Livezey JA, Bouchard KE, Chang EF.

PLoS Comput Biol. 2019 Sep 16;15(9):e1007091. doi: 10.1371/journal.pcbi.1007091. eCollection 2019 Sep.

5.

Human Sensorimotor Cortex Control of Directly Measured Vocal Tract Movements during Vowel Production.

Conant DF, Bouchard KE, Leonard MK, Chang EF.

J Neurosci. 2018 Mar 21;38(12):2955-2966. doi: 10.1523/JNEUROSCI.2382-17.2018. Epub 2018 Feb 8.

6.

Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex.

Bouchard KE, Bujan AF, Chang EF, Sommer FT.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:3636-3639. doi: 10.1109/EMBC.2017.8037645.

PMID:
29060686
7.

Timing during transitions in Bengalese finch song: implications for motor sequencing.

Troyer TW, Brainard MS, Bouchard KE.

J Neurophysiol. 2017 Sep 1;118(3):1556-1566. doi: 10.1152/jn.00296.2017. Epub 2017 Jun 21.

8.

High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination.

Bouchard KE, Aimone JB, Chun M, Dean T, Denker M, Diesmann M, Donofrio DD, Frank LM, Kasthuri N, Koch C, Ruebel O, Simon HD, Sommer FT, Prabhat.

Neuron. 2016 Nov 2;92(3):628-631. doi: 10.1016/j.neuron.2016.10.035.

9.

Spatial resolution dependence on spectral frequency in human speech cortex electrocorticography.

Muller L, Hamilton LS, Edwards E, Bouchard KE, Chang EF.

J Neural Eng. 2016 Oct;13(5):056013. doi: 10.1088/1741-2560/13/5/056013. Epub 2016 Aug 31.

10.

Auditory-induced neural dynamics in sensory-motor circuitry predict learned temporal and sequential statistics of birdsong.

Bouchard KE, Brainard MS.

Proc Natl Acad Sci U S A. 2016 Aug 23;113(34):9641-6. doi: 10.1073/pnas.1606725113. Epub 2016 Aug 9.

11.

Dynamic Structure of Neural Variability in the Cortical Representation of Speech Sounds.

Dichter BK, Bouchard KE, Chang EF.

J Neurosci. 2016 Jul 13;36(28):7453-63. doi: 10.1523/JNEUROSCI.0156-16.2016.

12.

High-Resolution, Non-Invasive Imaging of Upper Vocal Tract Articulators Compatible with Human Brain Recordings.

Bouchard KE, Conant DF, Anumanchipalli GK, Dichter B, Chaisanguanthum KS, Johnson K, Chang EF.

PLoS One. 2016 Mar 28;11(3):e0151327. doi: 10.1371/journal.pone.0151327. eCollection 2016.

13.

Identification of genetic factors that modify motor performance and body weight using Collaborative Cross mice.

Mao JH, Langley SA, Huang Y, Hang M, Bouchard KE, Celniker SE, Brown JB, Jansson JK, Karpen GH, Snijders AM.

Sci Rep. 2015 Nov 9;5:16247. doi: 10.1038/srep16247.

14.

An Adapting Auditory-motor Feedback Loop Can Contribute to Generating Vocal Repetition.

Wittenbach JD, Bouchard KE, Brainard MS, Jin DZ.

PLoS Comput Biol. 2015 Oct 8;11(10):e1004471. doi: 10.1371/journal.pcbi.1004471. eCollection 2015 Oct.

15.

Strategies for optical control and simultaneous electrical readout of extended cortical circuits.

Ledochowitsch P, Yazdan-Shahmorad A, Bouchard KE, Diaz-Botia C, Hanson TL, He JW, Seybold BA, Olivero E, Phillips EA, Blanche TJ, Schreiner CE, Hasenstaub A, Chang EF, Sabes PN, Maharbiz MM.

J Neurosci Methods. 2015 Dec 30;256:220-31. doi: 10.1016/j.jneumeth.2015.07.028. Epub 2015 Aug 19.

16.

Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences.

Bouchard KE, Ganguli S, Brainard MS.

Front Comput Neurosci. 2015 Jul 21;9:92. doi: 10.3389/fncom.2015.00092. eCollection 2015.

17.

Dynamic encoding of speech sequence probability in human temporal cortex.

Leonard MK, Bouchard KE, Tang C, Chang EF.

J Neurosci. 2015 May 6;35(18):7203-14. doi: 10.1523/JNEUROSCI.4100-14.2015.

18.

Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography.

Bouchard KE, Chang EF.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6782-5. doi: 10.1109/EMBC.2014.6945185.

PMID:
25571553
19.

Control of spoken vowel acoustics and the influence of phonetic context in human speech sensorimotor cortex.

Bouchard KE, Chang EF.

J Neurosci. 2014 Sep 17;34(38):12662-77. doi: 10.1523/JNEUROSCI.1219-14.2014.

20.

Speech map in the human ventral sensory-motor cortex.

Conant D, Bouchard KE, Chang EF.

Curr Opin Neurobiol. 2014 Feb;24(1):63-7. doi: 10.1016/j.conb.2013.08.015. Epub 2013 Sep 12. Review.

21.

Neural encoding and integration of learned probabilistic sequences in avian sensory-motor circuitry.

Bouchard KE, Brainard MS.

J Neurosci. 2013 Nov 6;33(45):17710-23. doi: 10.1523/JNEUROSCI.2181-13.2013.

22.

Functional organization of human sensorimotor cortex for speech articulation.

Bouchard KE, Mesgarani N, Johnson K, Chang EF.

Nature. 2013 Mar 21;495(7441):327-32. doi: 10.1038/nature11911. Epub 2013 Feb 20. Erratum in: Nature. 2013 Jun 27;498(7455):526.

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