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Found 4 papers, 1 papers with code
Where Do Human Heuristics Come From?
Here we approach this discrepancy from the perspective of bounded rationality and our goal is to provide a justification for such seemingly sub-optimal strategies.
Emulating Human Developmental Stages with Bayesian Neural Networks
We compare the acquisition of knowledge in humans and machines.
Interpreting the neural code with Formal Concept Analysis
We propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explore the semantic relationships between the neural representation of large sets of stimuli.
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
The peristimulus time historgram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists.
