Details

Autor(en) / Beteiligte

• Chapeton, Julio
• Fares, Tarec
• LaSota, Darin
• Stepanyants, Armen

Titel

Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons

Ist Teil von

• Proceedings of the National Academy of Sciences - PNAS, 2012-12, Vol.109 (51), p.E3614-E3622

Ort / Verlag

United States: National Academy of Sciences

Erscheinungsjahr

2012

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek

Beschreibungen/Notizen

• 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 excitatory and >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.