Dissecting emergent network noise compensation mechanisms in working memory tasks
Colin Bredenberg,Maximilian Puelma Touzel,Rainer Engelken,Guillaume Lajoie · COSYNE 2022
In vivo, single neurons have high trial-to-trial variability in their information transmission, which presents a challenge for networks whose outputs must be consistent for high task performance. Reliability becomes increasingly difficult to attain for working memory tasks where information must be preserved for extended periods of time. This implies that relative to systems without noise, the brain must have mechanisms dedicated to compensating for unreliability in neuron activity. How trained networks mitigate the effects of noise while completing working memory tasks remains largely unexplo
Sat, Mar 19, 2022