TY - GEN
T1 - Modeling the retinal horizontal cell layer on a massively parallel processor
T2 - 2nd IEEE Symposium on Parallel and Distributed Processing, SPDP 1990
AU - Kimball, Anthony L.
AU - Winslow, Raimond L.
N1 - Funding Information:
This work was supported by The Army High Performance Computing Research Center of the University of Minnesota Institute of Technology, The Whitaker Foundation, and NIH Grant POlNS17763-07. Our thanks to Thinking Machines Corporation, Cambridge, MA, the Northeast Parallel Architecture Center, Syracuse, NY, and the Minnesota Supercomputer Center, Minneapolis, MN for technical assistance and computer time. Thanks also to Dr. Andrew Knapp of Central Nervous System Re- search, Inc., Cambridge, MA, for providing data on which the modeling is based. Videotape copies of CM-2 simulations may be obtained by sending a blank VHS casette to the authors.
Publisher Copyright:
© 1990 IEEE.
PY - 1990
Y1 - 1990
N2 - We describe the use of a massively parallel processor , the Connection Machine model CM-2, to simulate light responses of the horizontal cell network of the vertebrate outer retina. The network model is biophysically detailed; properties of all non-linear voltage-gated membrane currents and intracellular calcium buffering mechanisms are modeled. Implementation and efficiency of execution on CM-2 and Cray supercomputers is discussed. Computational properties of the horizontal cell network under light and dark adapted conditions are analyzed. Results demonstrate that an increase in cell coupling following light adaptation improves the temporal resolution of the network at the expense of decreased spatial resolution. These changes may perform matched filtering, adjusting the response kinetics of the horizontal cell network to match those of cone photoreceptors over a range of background light levels.
AB - We describe the use of a massively parallel processor , the Connection Machine model CM-2, to simulate light responses of the horizontal cell network of the vertebrate outer retina. The network model is biophysically detailed; properties of all non-linear voltage-gated membrane currents and intracellular calcium buffering mechanisms are modeled. Implementation and efficiency of execution on CM-2 and Cray supercomputers is discussed. Computational properties of the horizontal cell network under light and dark adapted conditions are analyzed. Results demonstrate that an increase in cell coupling following light adaptation improves the temporal resolution of the network at the expense of decreased spatial resolution. These changes may perform matched filtering, adjusting the response kinetics of the horizontal cell network to match those of cone photoreceptors over a range of background light levels.
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U2 - 10.1109/SPDP.1990.143647
DO - 10.1109/SPDP.1990.143647
M3 - Conference contribution
AN - SCOPUS:84910860205
T3 - Proceedings of the 2nd IEEE Symposium on Parallel and Distributed Processing 1990, SPDP 1990
SP - 792
EP - 798
BT - Proceedings of the 2nd IEEE Symposium on Parallel and Distributed Processing 1990, SPDP 1990
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 1990 through 13 December 1990
ER -