Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits
Cold Spring Harbor Laboratory · Brandeis University · +2 more institutions
Abstract
How different is local cortical circuitry from a random network? To answer this question, we probed synaptic connections with several hundred simultaneous quadruple whole-cell recordings from layer 5 pyramidal neurons in the rat visual cortex. Analysis of this dataset revealed several nonrandom features in synaptic connectivity. We confirmed previous reports that bidirectional connections are more common than expected in a random network. We found that several highly clustered three-neuron connectivity patterns are overrepresented, suggesting that connections tend to cluster together. We also analyzed synaptic connection strength as defined by the peak excitatory postsynaptic potential amplitude. We found that…
Citation impact
- FWCI
- 14.51
- Percentile
- 100%
- References
- 74
Authors
5Topics & keywords
- Neuroscience
- Biology
- Postsynaptic potential
- Excitatory postsynaptic potential
- Visual cortex
- Neurotransmission
- Connection (principal bundle)
- Inhibitory postsynaptic potential
- Life below water