Topic: information routing

The availability and scale of synapse-resolution connectomes containing the wiring of neural systems has grown rapidly in recent years. In order to exploit these rich datasets and extract neural circuit mechanisms underlying behavior, scalable connectome analysis tools capable of predicting information routing principles in circuit pathways are necessary. Current methods to extract neurons mediating information flow only consider a limited set of pathway lengths and do not scale to large connectome datasets. Here, we develop an efficient framework to identify such bottlenecks in pathways betwe

Selective processing of relevant aspects of our environment is crucial for goal-directed behavior. In the visual cortex, neurons encoding attended stimuli show synchronized activity within the γ-frequency band (30 – 100 Hz). Given this rhythmic nature of neuronal activity, with alternating phases of enhanced and diminished excitability, effective information transmission should not only necessitate synchronization of oscillatory activity but should critically depend on the phase difference between sender- and receiver neurons’ γ-activity. To test this, we simultaneously recorded neuronal activ