Neural Systems and Machine Learning Lab

Recent Posts

Recent Comments

    Archives

    Categories

    Meta

    Neuroscience

    1. Columnar localization and laminar origins of Cortical Surface Electrical Potentials. Baratham, V.L., Dougherty, M,E., Hermiz, J., Ledochowitsch, P Maharbiz, M.M., Bouchard, K.E., Journal of Neuroscience, May, 2022. 
    2. Non-normality in neural networks. Kumar, A., Bouchard, K.E., Proceedings AI and Optical Data Sciences, Mar., 2022
    3. Neural optoelectrodes merging semiconductor scalability with polymeric-like bendability for low damage acute in vivo neuro readout and stimulation. Lanzio, V., Gutierrez, V., Hermiz, J., Bouchard, K.E., Cabrini, S. Journal of Vacuum Science Technology B; 2021
    4. NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs. Ben-Shalom, R., Artherya, N.S., Ladd, A., Cross, C., Sanghevi, H., Kim, K-G., Korngreen, A., Bouchard, K.E., Bender, K.; Journal of Neuroscience Methods, 2021.
    5. The impact of reducing signal acquisition specifications on neuronal spike sorting. Hermiz, J., Joseph, E., Lee, K.H., Baldacci, I., Chung, J., Frank, L., Bouchard, K.E., Denes, P.; International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS); 2021
    6. Improved inference in coupling, encoding, and decoding models and its consequence for neuroscientific interpretation. Sachdeva, P.S., Livezey, J.A., Dougherty, M.E., Gu, B.M., Berke, J.D., Bouchard, K.E., J. Neuroscience Mthds, 2021
    7. Robust, automated sleep scoring by a compact neural network with distributional shift correction. Barger, Z., Frye, C., Liu, D., Dan, Y., Bouchard, K.E.; PLoS One, Dec., 2019
    8. Deep-learning as a data analysis tool for systems neuroscience. Livezey, J.*, Bouchard, K.E.*$, Chang, E.F.$; PLoS Computational Biology, 15(9): e1007091. Sept, 2019. *: co-first authors; $: co-senior authors.
    9. Laminar origin of evoked ECoG high-gamma activity. Dougherty, M.E., Nguyen, A.P. Q., Bouchard, K.E.; IEEE Neural Engineering Research (2019)
    10. In vitro Validation of in silico Identified Inhibitory Interactions. Liu, H., Bridges., D., Randall, C., Solla, S.A., Wu, B., Hansma, P., Yan, X., Kosik, K.*, Bouchard, K.E.*, Journal of Neuroscience Methods; 2018. *: co-senior authors
    11. Laminar origin of evoked ECoG high-gamma activity. Dougherty, M.E., Nguyen, A.P.Q., Baratham, V.L., Bouchard, K.E.; 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2019).
    12. Human Sensorimotor Cortex Control of Directly Measured Speech Movements During Vowel Production. Conant, D., Bouchard, K.E., Leonard, M.K., Chang, E.F; Journal of Neuroscience,38(12):2955-2966; Feb., 2018.
    13. Timing during transitions in Bengalese finch song: implications for motor sequencing. Troyer, T.W.;Brainard, M.S., Bouchard, K.E.; J. Neurophys., 118(3):1556-1566; June, 2017.
    14. Predictive neural dynamics in songbird sensory-motor circuitry reflects behavioral statistics. Bouchard, K.E., Brainard, M.S.; Proceeding of the National Academy of Sciences, 113(34) 9641-9646; Aug., 2016.
    15. High-resolution, non-invasive imaging of upper vocal tract articulators compatible with human brain recordings. Bouchard, K.E.*, Conant, D.*, Anumanchipalli, G., Dichter, B.; Johnson, K., Chang, E.F.; PLoS One. 11(3): e0151327; *:co-first authors.
    16. Dynamic structure of neural variability in the cortical representation of speech sounds. Dichter, B., Bouchard, K.E., Chang, E.F.; Journal of Neuroscience, 36(28) 7453-7463; July, 2016.
    17. Spatial resolution dependence on spectral frequency in human electrocorticography. Muller, L; Hamilton, L; Edwards, E; Bouchard, K.E.; Chang, E.; J. Neural Engineering, 13(5):056013; , 2016.
    18. Role of the site of synaptic competition and the balance of learning forces for Hebbian encoding of probabilistic Markov sequences. Bouchard, K.E., Ganguly, S., Brainard, M.S.; Front. in Comp. Neuro., 9: 92; July, 2015.
    19. Dynamic encoding of speech sequence probability in human temporal cortex. Leonard, M.K., Bouchard, K.E., Tang, C; Chang, E.F.; J. Neuroscience, 35(18):7203-14; May, 2015.
    20. An auditory-motor feedback loop with response adaptation contributes to generating repetitive vocalizations. Wittenback, J.*, Bouchard, K.E.*, Brainard, M.S., Jin, D.Z.; PLoS Comp. Bio., 11(10); July, 2015. *:co-first authors.
    21. Identification of genetic factors that modify motor performance and body weight using Collaborative Cross mice. Mao JH, Langley SA, Huang Y, Hang M, Bouchard K.E., Celniker SE, Brown JB, Jansson JK, Karpen GH, Snijders AM. Scientific Reports, 5:16247 Nov, 2015.
    22. Strategies for optical control and simultaneous electrical readout of extended cortical circuits. Ledochowitsch, P.*, Yazdan-Shahmorad, A.*, Bouchard, K.E., Diaz-Botia, C., Hanson, T., He, J., Seybold, B., Olivero, E., Blanche, T.J., Schreiner, C.E., Hasenstaub, A., Chang, E.F., Sabes, P.**, Maharbiz, M.M.**; J. Neurosci. Methods, 256:220-31; Dec, 2015.
    23. Decoding speech from human neural recordings with deep neural networks. Livesey, J.; Bouchard, K.E.; Chang, E.F.; NeurIPS Workshop. 2015.
    24. Cortical control of vowel formants and co-articulation by human sensorimotor cortex. Bouchard, K.E.,Chang, E.F.; J. Neuroscience, 34(38):12662-77; , 2014.
    25. Speech map in the human ventral sensory-motor cortex. Conant, D., Bouchard, K.E., Chang, E.F.; Curr. Opin. Neurobio., 24(1):63-7; , 2014.
    26. Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography. Bouchard, K.E., Chang, E.F.; IEEE, Engineering in Medicine and Biology, 2014:6782-5; , 2014.
    27. Functional organization of human sensorimotor cortex for speech articulation. Bouchard, K.E.,Mesgarani, N., Johnson, K., Chang, E.F.; Nature Article, 495(7441): 327–332. , 2013.
    28. Neural encoding and integration of learned probabilistic sequences in avian sensory-motor circuitry.Bouchard, K.E., Brainard, M.S.; J. Neuroscience, 33(45): 17710–17723; Nov., 2013.
    29. Cannabinoid receptor 2 signaling in peripheral immune cells modulates disease onset and severity in mouse models of Huntington’s disease. Bouchard, J.S., Truong, J., Bouchard, K.E., Dunkelberger, D., Desrayaud, S., Moussaoui, S., Tabrizi, S.J., Stella, N., Muchowski, P.J.; J. Neuroscience, 12;32(50):18259-68; , 2012.
    30. Control of network activity through neuronal response modulation. Swineheart, C., Bouchard, K.E.,Partensky, P., Abbott, L. F.; Neurocomputing, 58–60 327–335; 2004.