A synaptic organizing principle for cortical neuronal groups
École Polytechnique Fédérale de Lausanne · University of California, San Francisco · +1 more institution
Abstract
Neuronal circuitry is often considered a clean slate that can be dynamically and arbitrarily molded by experience. However, when we investigated synaptic connectivity in groups of pyramidal neurons in the neocortex, we found that both connectivity and synaptic weights were surprisingly predictable. Synaptic weights follow very closely the number of connections in a group of neurons, saturating after only 20% of possible connections are formed between neurons in a group. When we examined the network topology of connectivity between neurons, we found that the neurons cluster into small world networks that are not scale-free, with less than 2 degrees of separation. We found a simple clustering rule where…
Citation impact
- FWCI
- 21.58
- Percentile
- 100%
- References
- 78
Authors
3- RPRodrigo Perin
École Polytechnique Fédérale de Lausanne
- TKThomas K. Berger
University of California, San Francisco, École Polytechnique Fédérale de Lausanne, University of California, Berkeley
- HMHenry MarkramCorresponding
University of California, San Francisco, École Polytechnique Fédérale de Lausanne, University of California, Berkeley
Topics & keywords
- Neocortex
- Neuroscience
- Neuron
- Topology (electrical circuits)
- Cluster analysis
- Computer science
- Biology
- Mathematics