Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane
Abstract
The dendritic trees of cortical pyramidal neurons seem ideally suited to perfonn local processing on inputs. To explore some of the implications of this complexity for the computational power of neurons, we simulated a realistic biophysical model of a hippocampal pyramidal cell in which a "cold spot"-a high density patch of inhibitory Ca-dependent K channels and a colocalized patch of Ca channels-was present at a dendritic branch point. The cold spot induced a non monotonic relationship be(cid:173) tween the strength of the synaptic input and the probability of neuronal fIring. This effect could also be interpreted as an analog stochastic XOR.
Cite
Text
Zador et al. "Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane." Neural Information Processing Systems, 1991.Markdown
[Zador et al. "Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/zador1991neurips-nonlinear/)BibTeX
@inproceedings{zador1991neurips-nonlinear,
title = {{Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane}},
author = {Zador, Anthony M. and Claiborne, Brenda J. and Brown, Thomas H.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {51-58},
url = {https://mlanthology.org/neurips/1991/zador1991neurips-nonlinear/}
}