Dr. David Senseman
We are interested in the basic rules that govern the parallel processing of visual, auditory and olfactory information within the vertebrate central nervous system. In order to examine this problem we are using voltage-sensitive dyes to provide a non-invasive means of recording changes in neuronal activity following the presentation of sensory stimuli. A specialized computer-based data acquisition system allows us to simultaneously monitor electrical activity in 464 contiguous anatomical brain regions with millisecond temporal resolution. Through a combination of video imaging and computer animation techniques, we are able to directly visualize the spatio-temporal spread of electrical information within the brain. Currently we are using this apparatus to investigate (1) the initial processing of odor information with the glomerular region of the olfactory bulb and (2) the processing of retino-hypothalamic tract input with the suprachiasmatic nucleus (SCN).
Vignali, S, Peter, N, Demir, IE, Ceyhan GO, Zeller F, Senseman, D, Michel, K and M. Schemann (2010) Recordings from human myenteric neurons using voltage-sensitive dyes. J. Neuroscience Methods 192:240-248.
Luo Q, Lu H, Lu H, Senseman D, Worsleye K, Yang Y, Gao, J-H Physiologically evoked neuronal current MRI in a bloodless turtle brain: Detectable or not? Neuroimage 2009; 47: 1268–1276.
Luo Q, Ho-Ling Liu, H.-L.,Parris B, Huo Lu H, Senseman DM, Jia-Hong Gao (2007) Modeling Oxygen Effects in Tissue-Preparation Neuronal-Current MRI. Magnetic Resonance in Medicine 58:407–412.
Robbins KA, Senseman DM Extracting wave structure from biological data with application to responses in the turtle visual cortex, Journal of Computational Neuroscience, 2004; 16(3): 267-298.
Robbins, KA, Robinson M, Senseman D. Visualizing cortical waves and timing from data, IEEE Visualization 2004, 401-408.
Robbins, K.A., I. Grinshpan, K. Allen and D. M. Senseman (2004). Synchronized views for exploring populations of neurons. Proc. SPIE (Papers selected from Visualization and Data Analysis 2004, Eds Robert F. Erbacher, Philip C. Chen, Jonathan C. Roberts, Matti T. Gröhn, Katy Börner), 5295:235-245.