Conference proceeding
Analog modulation of digital computation in nerve cells: Simulating the stomatogastric nervous system of the crab
Modelling and Simulation 2004, pp.148-152
01 Jan 2004
Abstract
In modeling studies, the performance of neural networks is often attributed to the complexity of the structure of the network and the number of connections between neurons. In contrast, recent research in neurobiology shows that an analog modulation of the connections between neurons and of the integrative properties of single neurons can strongly enhance the network performance and might even be capable of replacing parts of the network without losing the task-specific output. We modeled the stomatogastric nervous system of the crab, using the biologically oriented network simulator madSim to test the impact of such analog modulations on network function. This network has been studied intensively and provides a solid data base for a simulation.
Our model shows that the analog modulation of a single neuronal connection determines the output of the whole network. Also, an analog computation within a single neuron can substitute missing network parts and rescue the desired function.
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Details
- Title
- Analog modulation of digital computation in nerve cells: Simulating the stomatogastric nervous system of the crab
- Creators
- W SteinJ Ausborn
- Contributors
- C Bobeanu (Editor)
- Publication Details
- Modelling and Simulation 2004, pp.148-152
- Publisher
- Eurosis
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Identifiers
- 991020655668804721
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