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Feedforward and feedback influences through distinct frequency bands between two spiking-neuron networks
Leonardo Dalla Porta1, Daniel M Castro2, Mauro Copelli2
1Systems Neuroscience, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain.
Physical Review. E
|December 24, 2021
Summary
This study demonstrates a simple neural network model that replicates how distinct brainwave frequencies (theta, gamma, alpha-beta) mediate feedforward and feedback communication in visual processing.
Area of Science:
- Computational neuroscience
- Neural oscillations
- Brain signal processing
Background:
- Brain signal studies indicate distinct frequency bands for bottom-up and top-down influences in visual cortex.
- Theta and gamma rhythms are linked to feedforward processing, while alpha-beta rhythms dominate feedback in primates.
Purpose of the Study:
- To develop and analyze a biophysically plausible neural network model that reproduces distinct frequency band influences for feedforward and feedback signaling.
- To investigate directed neural influences at both population (local field potential proxy) and cellular (neuronal spiking) levels.
Main Methods:
- Utilized a two-network motif model composed of spiking-neuron models and chemical synapses.
- Analyzed population-level activity as a proxy for local field potentials.
- Examined neuronal spiking series for cellular-level insights.
Main Results:
- The proposed model successfully exhibited feedforward and feedback influences mediated by distinct frequency bands.
- The model allowed for the study of directed influences at both population and cellular scales.
Conclusions:
- A simple, biophysically plausible neural network model can replicate the distinct frequency band mechanisms of feedforward and feedback brain signal communication.
- This model offers a novel approach to studying directed neural influences at multiple levels of biological organization.
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