Conference proceeding
Adaptation by change of passive membrane resistance
IJCNN-91-Seattle International Joint Conference on Neural Networks, v ii, 2
1991
Abstract
Summary form only given, as follows. Membrane resistance is modeled in short-term memory equations of neural networks as a self-relaxation parameter which ensures exponential decay to zero when the input stimulus is removed. Several models were examined, and it was shown that steady-state network response and sensitivity is dependent on the (passive) membrane resistance. Change of membrane resistance thus provides a mechanism for post-sensory adaptation. The results were examined through analog hardware implementation and simulation of one of the neural network models, and agreement with theoretical analysis was observed. A simple mechanism for tuning the operating point and sensitivity was implemented and demonstrated. The implementation has direct technological application while the tuning mechanism itself explains some of the short-term adaptive behavior of biological systems.< >
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Details
- Title
- Adaptation by change of passive membrane resistance
- Creators
- B Nabet - Drexel University
- Publication Details
- IJCNN-91-Seattle International Joint Conference on Neural Networks, v ii, 2
- Conference
- IJCNN-91-Seattle International Joint Conference on Neural Networks
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Other Identifier
- 991019182669304721