Modular brain networks
The development of new technologies for mapping structural and functional brain
connectivity has led to the creation of comprehensive network maps of neuronal circuits and …
connectivity has led to the creation of comprehensive network maps of neuronal circuits and …
[HTML][HTML] Evolutionary robotics: what, why, and where to
Evolutionary robotics applies the selection, variation, and heredity principles of natural
evolution to the design of robots with embodied intelligence. It can be considered as a …
evolution to the design of robots with embodied intelligence. It can be considered as a …
The evolutionary origins of modularity
A central biological question is how natural organisms are so evolvable (capable of quickly
adapting to new environments). A key driver of evolvability is the widespread modularity of …
adapting to new environments). A key driver of evolvability is the widespread modularity of …
Modularity of the Mtr respiratory pathway of Shewanella oneidensis strain MR‐1
D Coursolle, JA Gralnick - Molecular microbiology, 2010 - Wiley Online Library
Four distinct pathways predicted to facilitate electron flow for respiration of externally located
substrates are encoded in the genome of Shewanella oneidensis strain MR‐1. Although the …
substrates are encoded in the genome of Shewanella oneidensis strain MR‐1. Although the …
Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function
The human brain can be represented as a graph in which neural units such as cells or small
volumes of tissue are heterogeneously connected to one another through structural or …
volumes of tissue are heterogeneously connected to one another through structural or …
[HTML][HTML] Neural modularity helps organisms evolve to learn new skills without forgetting old skills
A long-standing goal in artificial intelligence is creating agents that can learn a variety of
different skills for different problems. In the artificial intelligence subfield of neural networks …
different skills for different problems. In the artificial intelligence subfield of neural networks …
Correlational selection in the age of genomics
Ecologists and evolutionary biologists are well aware that natural and sexual selection do
not operate on traits in isolation, but instead act on combinations of traits. This long …
not operate on traits in isolation, but instead act on combinations of traits. This long …
[HTML][HTML] Intelligence is associated with the modular structure of intrinsic brain networks
General intelligence is a psychological construct that captures in a single metric the overall
level of behavioural and cognitive performance in an individual. While previous research …
level of behavioural and cognitive performance in an individual. While previous research …
The modular organization of human anatomical brain networks: Accounting for the cost of wiring
Brain networks are expected to be modular. However, existing techniques for estimating a
network's modules make it difficult to assess the influence of organizational principles such …
network's modules make it difficult to assess the influence of organizational principles such …
[HTML][HTML] How morphological development can guide evolution
Organisms result from adaptive processes interacting across different time scales. One such
interaction is that between development and evolution. Models have shown that …
interaction is that between development and evolution. Models have shown that …