A Quantitative Map of the Circuit of Cat Primary Visual Cortex

TLDR

The study aims to quantitatively describe cat area 17 circuits by estimating projection weights between neuronal types. They reconstructed 39 neurons and thalamic afferents, combined morphometric data with literature estimates, and used a proportionality assumption to compute synapse numbers across six cortical layers. The predicted synaptic maps closely match electron‑microscopy data for spiny stellate cell inputs and reveal that most excitatory connections are weak, with only a few strong projections.

Abstract

We developed a quantitative description of the circuits formed in cat area 17 by estimating the “weight” of the projections between different neuronal types. To achieve this, we made three-dimensional reconstructions of 39 single neurons and thalamic afferents labeled with horseradish peroxidase during intracellular recordings in vivo . These neurons served as representatives of the different types and provided the morphometrical data about the laminar distribution of the dendritic trees and synaptic boutons and the number of synapses formed by a given type of neuron. Extensive searches of the literature provided the estimates of numbers of the different neuronal types and their distribution across the cortical layers. Applying the simplification that synapses between different cell types are made in proportion to the boutons and dendrites that those cell types contribute to the neuropil in a given layer, we were able to estimate the probable source and number of synapses made between neurons in the six layers. The predicted synaptic maps were quantitatively close to the estimates derived from the experimental electron microscopic studies for the case of the main sources of excitatory and inhibitory input to the spiny stellate cells, which form a major target of layer 4 afferents. The map of the whole cortical circuit shows that there are very few “strong” but many “weak” excitatory projections, each of which may involve only a few percentage of the total complement of excitatory synapses of a single neuron.