Inhibition in Random Neuronal Networks Enhances Response Variability and Disrupts Stimulus Discrimination
Netta Haroush, Shimon Marom

TL;DR
This study investigates how inhibition in random cortical networks influences response variability and stimulus discrimination, revealing that blocking inhibition reduces variability but can enhance stimulus discrimination based on spike timing relations.
Contribution
It demonstrates that inhibition increases response variability and disrupts stimulus discrimination in random neuronal networks, contrasting with its role in structured sensory pathways.
Findings
Blocking inhibition reduces response variability.
Blocking inhibition enhances stimulus discrimination based on spike timing.
Inhibition disrupts coherent wave propagation of activity.
Abstract
Inhibition is considered to shape neural activity, and broaden its pattern repertoire. In the sensory organs, where the anatomy of neural circuits is highly structured, lateral inhibition sharpens contrast among stimulus properties. The impact of inhibition on stimulus processing and the involvement of lateral inhibition is less clear when activity propagates to the less-structured relay stations. Here we take a synthetic approach to disentangle the impacts of inhibition from that of specialized anatomy on the repertoire of evoked activity patterns, and as a result, the network capacity to uniquely represent different stimuli. To this aim, we blocked inhibition in randomly rewired networks of cortical neurons in-vitro, and quantified response variability and stimulus discrimination among stimuli provided at different spatial loci, before and after the blockade. We show that blocking…
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Taxonomy
TopicsNeural dynamics and brain function · Neuroscience and Neural Engineering · stochastic dynamics and bifurcation
