Elements of information theory
Elements of information theory
Statistically efficient estimation using population coding
Neural Computation
Mutual information, Fisher information, and population coding
Neural Computation
Neuronal tuning: to sharpen or broaden
Neural Computation
| Hi-index | 0.01 |
Neurons in visual cortex receive most inputs from other cortical neurons with similar stimulus preference. To understand the role of this arrangement in information transmission we use a computational model to quantify the information about external stimuli that a typical cortical neuron receives through its cortico-cortical synapses. We find that efficient readout of the information encoded by an afferent population with orientation tuning similar to that observed in area V1 requires the spread of orientation preferences of excitatory cortical afferents to take a value in agreement with experiments. We suggest that the organization of V1 cortico-cortical synapses allows efficient information transmission.