Signal analysis and stochastic modeling of evoked responses in brain circuits grown in culture

The evoked responses (i.e., input-output dynamics) of small brain circuits grown in isolation are studied, with a focus on understanding state changes related to sleep and waking. In particular, brain circuits grown on multi-electrode arrays are subject to impulse-train stimulations, and analyses ar...

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Bibliographic Details
Published in2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) pp. 452 - 456
Main Authors Xue, Mengran, Taishi, Ping, Sahabandu, Dinuka, Roy, Sandip, Krueger, James
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2017
Subjects
biological signal processing
Biological system modeling
Brain modeling
Electrodes
Hidden Markov models
input-output models
Integrated circuit modeling
Markov regenerative models
sleep/waking
Stochastic processes
Switches
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Summary:The evoked responses (i.e., input-output dynamics) of small brain circuits grown in isolation are studied, with a focus on understanding state changes related to sleep and waking. In particular, brain circuits grown on multi-electrode arrays are subject to impulse-train stimulations, and analyses are undertaken of the resulting electrical responses. The data analyses indicate that brain circuits fluctuate probabilistically between discrete states, which modulate spectral characteristics of the evoked response. Based on these observations, a stochastic switching model for evoked response profiles is proposed.
DOI:10.1109/GlobalSIP.2017.8308683