Report to the Office of Naval, Research on the Santa Fe Institute Workshop Implications of Dendritic Models for Neural Network Properties.
Abstract
Implications of Dendritic Models for Neural Network Properties, a small, intensive workshop focussing on the experience and insights gained by participants in their mathematical and computational studies of neuron models which are realistic in the sense that they preserve some of the distributed anatomy and some of the nonuniform, nonlinear membrane properties of biological neurons. Most of the participants were experienced both in physics and in experimental neurophysiology; all shared a conviction that dendritic synaptic input patterns and membrane nonlinearity are important in actual biological neural networks. In addition to discussion of recent experiments and computations, attention was given to identifying collaborations that could offer special promise of demonstrating how network properties can be enriched by including realistic neuron properties in network models.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 05, 1992
- Accession Number
- ADA253949
Entities
People
- Ginger R. Richardson
Organizations
- Santa Fe Institute