97 citations · 406 across the 28 of their papers we have counts for
6 papers · 1 filter
Comment on Deterministic Information Bottleneck
Sarah Marzen
We make the case that although Deterministic Information Bottleneck may be a contribution to clustering, it should not be used to aid lossy compression without the addition of bloc…
Time cells might be optimized for predictive capacity, not redundancy reduction or memory capacity
Alexander Hsu, Sarah Marzen
Recently, researchers have found time cells in the hippocampus that appear to contain information about the timing of past events. Some researchers have argued that time cells are…
On the role of theory and modeling in neuroscience
Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham +17
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth…
Weak universality in sensory tradeoffs
Sarah Marzen, Simon DeDeo
For many organisms, the number of sensory neurons is largely determined during development, before strong environmental cues are present. This is despite the fact that environments…
The evolution of lossy compression
Sarah E. Marzen, Simon DeDeo
In complex environments, there are costs to both ignorance and perception. An organism needs to track fitness-relevant information about its world, but the more information it trac…
Time Resolution Dependence of Information Measures for Spiking Neurons: Atoms, Scaling, and Universality
Sarah E. Marzen, Michael R. DeWeese, James P. Crutchfield
The mutual information between stimulus and spike-train response is commonly used to monitor neural coding efficiency, but neuronal computation broadly conceived requires more refi…