Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons
Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons
复制标题
DOI:
10.1073/pnas.1211467109
复制
发表时间:
2012-12-18
影响因子:
11.1
通讯作者:
Stepanyants, Armen
中科院分区:
文献类型:
--
作者:
Chapeton, Julio;Fares, Tarec;Stepanyants, Armen
Many features of synaptic connectivity are ubiquitous among cortical systems. Cortical networks are dominated by excitatory neurons and synapses, are sparsely connected, and function with stereotypically distributed connection weights. We show that these basic structural and functional features of synaptic connectivity arise readily from the requirement of efficient associative memory storage. Our theory makes two fundamental predictions. First, we predict that, despite a large number of neuron classes, functional connections between potentially connected cells must be realized with 50% probability if the presynaptic cell is inhibitory. Second, we establish a unique relation between probability of connection and coefficient of variation in connection weights. These predictions are consistent with a dataset of 74 published experiments reporting connection probabilities and distributions of postsynaptic potential amplitudes in various cortical systems. What is more, our theory explains the shapes of the distributions obtained in these experiments.