Metabolic considerations for cognitive modeling - Volume 49

During regeneration, new neurons need to be made in a way that reproduces both neuronal diversity and organization. Here the authors show that a combination of factors works cooperatively to direct ne...

E. coli integrate environmental history through scale-free memory, performing recurrent, neural-like computation to balance growth and survival in fluctuating nutrient conditions.

Bacteria use strategies similar to artificial neural networks to use the past to adapt to the future.

A repository of teaching resources for courses that bear on philosophical issues about memory.

When detecting scientific phenomena, researchers often aim to separate datasets into signal and noise. This signal-noise distinction captures that not all data one collects are relevant to this phenom...

Scientists aim to remediate artifacts in their experimental datasets. However, the remediation of one artifact can result in another. Why might this happen, and what does this consequence tell us abou...

When detecting scientific phenomena, researchers often aim to separate datasets into signal and noise. This signal-noise distinction captures that not all data one collects are relevant to this phenom...

Discover emerging research on quantum biology, mechanobiology and cognition through expert-led sessions connecting science, medicine and innovation.