TY - GEN
T1 - Sensitivity analysis of an analog circuit model of lamprey unit pattern generator
AU - Brauer, E. J.
AU - Jung, Ranu
AU - Wilson, D.
AU - Abbas, J. J.
PY - 1997
Y1 - 1997
N2 - Neural circuitry within the spinal cord of the lamprey, a primitive vertebrate, can generate self-sustained oscillations for locomotion (swimming). This pattern generator can be modeled as a chain of oscillatory unit pattern generator segments which exhibit behavior depending on the parameter values in the network. Here, the authors present the results of a simulation study of an analog electronic circuit which mimics the behavior of the biological lamprey unit pattern generator. The circuitry mimics a neural network containing 6 neurons with simplified biophysical properties. The analog circuit exhibits symmetric oscillations, asymmetric oscillations, and fixed points, similar to the behavior of the mathematical model of the lamprey. This work is the first in a series of circuits designed to have possible applications in neuroscience research and in the development of artificial locomotor systems.
AB - Neural circuitry within the spinal cord of the lamprey, a primitive vertebrate, can generate self-sustained oscillations for locomotion (swimming). This pattern generator can be modeled as a chain of oscillatory unit pattern generator segments which exhibit behavior depending on the parameter values in the network. Here, the authors present the results of a simulation study of an analog electronic circuit which mimics the behavior of the biological lamprey unit pattern generator. The circuitry mimics a neural network containing 6 neurons with simplified biophysical properties. The analog circuit exhibits symmetric oscillations, asymmetric oscillations, and fixed points, similar to the behavior of the mathematical model of the lamprey. This work is the first in a series of circuits designed to have possible applications in neuroscience research and in the development of artificial locomotor systems.
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U2 - 10.1109/ICNN.1997.616158
DO - 10.1109/ICNN.1997.616158
M3 - Conference contribution
AN - SCOPUS:0030685530
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 975
EP - 979
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
T2 - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -