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Cell crowding causes high-grade breast cancer cells to become more invasive by activating a molecular switch that causes the cells to shrink and spread.
The human brain is thought to constantly predict future words during language processing. Recently, a new approach to investigating linguistic predictions emerged which aims to capture predictive ...
Orbitofrontal cortex and hippocampus reinstate representations of causal choices to associate with delayed outcomes, and the frontal pole supports this credit assignment process by maintaining pending ...
This valuable investigation provides new and solid evidence for a specific cognitive deficit in cerebellar degeneration patients. The authors use three tasks that modulate complexity and error ...
This important work presents a stochastic branching process model of tumour-immune coevolution, incorporating stochastic antigenic mutation accumulation and escape within the cancer cell population.
This valuable study shows that locomotion-related modulations in the mouse visual cortex are not uniform but primarily affect neurons in muscarinic receptor-negative patches, which receive projections ...
Understanding and reasoning about the physical world rely on a specific brain network, in which the area PF of the left inferior parietal lobe plays a central role.
We highlight recent developments in eLife’s equity, diversity and inclusion framework and what steps we will be taking next.
Deciphering the gut biome's, including helminths', influence on human trained immunity will unlock novel immunotherapies harnessing the immune reprogramming potential of their secreted factors and ...
Ecological network management provides key mechanistic knowledge on ecosystem degradation that links species- to ecosystem-level responses to global change, and emerging technological tools offer the ...
Future prosocial acts can be forecasted from stable biological differences in how people perceive others' merit, pointing to novel strategies to reduce favoritism and discrimination in social ...
One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...
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