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Found 4 papers, 1 papers with code
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
Visual object recognition has been extensively studied in both neuroscience and computer vision.
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
The ability to synthesize realistic patterns of neural activity is crucial for studying neural information processing.
Quantifying how much sensory information in a neural code is relevant for behavior
Determining how much of the sensory information carried by a neural code contributes to behavioral performance is key to understand sensory function and neural information flow.
Invariant components of synergy, redundancy, and unique information among three variables
In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams and Beer dissects the information that two variables (sources) carry about a third variable (target) into nonnegative information atoms that describe redundant, unique, and synergistic modes of dependencies among the variables.
