Abstract (may include machine translation)
In this issue of Neuron, Młynarski et al. (2021) provide a maxent-based normative method for flexible neural data analysis by combining data-driven and theory-driven approaches. The next challenge is identifying the right frameworks to use this method at its best.
Original language | English |
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Pages (from-to) | 1077-1079 |
Number of pages | 3 |
Journal | Neuron |
Volume | 109 |
Issue number | 7 |
DOIs | |
State | Published - 7 Apr 2021 |
Keywords
- Bayesian
- loss calibration
- neural data analysis
- optimization