Feedforward and feedback influences through distinct frequency bands between two spiking-neuron networks

TL;DR

This study demonstrates that a biophysically plausible two-network spiking neuron model can replicate the distinct frequency band influences observed in brain signals, providing insights into feedforward and feedback neural interactions.

Contribution

The paper introduces a simple, biophysically plausible two-network model that reproduces frequency-specific feedforward and feedback influences at both population and cellular levels.

Findings

Model exhibits feedforward influence in theta and gamma bands.

Model shows feedback influence dominated by alpha-beta rhythm.

Allows analysis of directed influences at cellular and population levels.

Abstract

Several studies with brain signals suggested that bottom-up and top-down influences are exerted through distinct frequency bands among visual cortical areas. It has been recently shown that theta and gamma rhythms subserve feedforward, whereas the feedback influence is dominated by the alpha-beta rhythm in primates. A few theoretical models for reproducing these effects have been proposed so far. Here we show that a simple but biophysically plausible two-network motif composed of spiking-neuron models and chemical synapses can exhibit feedforward and feedback influences through distinct frequency bands. Differently from previous studies, this kind of model allows us to study directed influences not only at the population level, by using a proxy for the local field potential, but also at the cellular level, by using the neuronal spiking series.