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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Segundo, J.P. Vibert, J.-F. Stiber, M. Hanneton, S. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Anatomy & Cell Biol., California Univ., CA, USA (Segundo, J.P.) |
| Abstract | The authors describe how periodically modulated pre-synaptic trains influence postsynaptic discharges in pacemaker neurons. Experiments are conducted on inhibitory synapses in crayfish. Descriptions are based upon point-process and dynamical systems theories. Pre- and postsynaptic discharges differ clearly. Local marked distortions are due to similar trends, special patterns, asymmetric sensitivity to change, and saturations. Discharges locally resemble locked, intermittent or messy forms. The pre- vs. post-synaptic contrast is sensitive to all modulation features. Synaptic coding is the operational unit in neural networks. It is asked if and how the performance of a net changes when, rather than including simple units, it has neurons and synapses closer to those examined here. Likewise necessary are a dynamic interpretation of the parallel between modulated and pacemaker drivings, and an understanding of the underlying mechanisms. Commonplace in nature are intercurrent perturbations. These are represented by noisy modulations. Average noisy cycles are distorted less than clean ones, suggesting that faithful synaptic codings may be achieved by averaging simultaneous noisy cycles across converging fibers. |
| Starting Page | 58 |
| Ending Page | 63 |
| File Size | 491198 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780309995 |
| DOI | 10.1109/ICNN.1993.298531 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-03-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Modulation coding Neurons Pacemakers Frequency Neural networks Low-frequency noise Noise generators Biological cells Computer science Computer simulation |
| Content Type | Text |
| Resource Type | Article |
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