The functional networks of cultured neurons exhibit complex network properties similar to those found in vivo. Starting from random seeding, cultures undergo significant reorganization during the initial period in vitro, yet despite providing an ideal platform for observing developmental changes in neuronal connectivity, little is known about how a complex functional network evolves from isolated neurons. In the present study, evolution of functional connectivity was estimated from correlations of spontaneous activity. Network properties were quantified using complex measures from graph theory and used to compare cultures at different stages of development during the first 5 weeks in vitro. Networks obtained from young cultures (14 days in vitro) exhibited a random topology, which evolved to a small-world topology during maturation. The topology change was accompanied by an increased presence of highly connected areas (hubs) and network efficiency increased with age. The small-world topology balances integration of network areas with segregation of specialized processing units. The emergence of such network structure in cultured neurons, despite a lack of external input, points to complex intrinsic biological mechanisms. Moreover, the functional network of cultures at mature ages is efficient and highly suited to complex processing tasks.

This review identified evidence that delineates some of the effects of gender on the culture, practice and organisation of medicine. There are problems with some of the research methodologies and we identify areas for further research. To understand the effects of the changing gender composition of medicine it will be necessary to use more sophisticated research designs to explore the structural, economic, historical and social contexts that interact to produce medical culture. This will provide a basis for exploring the impact and implications of these changes and has immediate relevance for workforce planning and understanding both the changing nature of health professions' education and health care delivery.

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Research governance, including research ethics committees and data protection legislation, is invested in protecting the individual rights of participants in social care and health research. Increasingly funders expect evidence of outcomes that engage with ‘service users’, making research critical in supporting social interventions to compete for scant resources in an economic climate marked by ‘austerity’ ( Sullivan 2011 ). This article focuses on the tensions that can arise from the research governance of violence and abuse research. We argue that increased scrutiny of violence and abuse as a ‘sensitive’ topic that involves ‘vulnerable’ groups has made ethical clearance more challenging, which in turn can lead to a dangerous lack of evidence. This can have a harmful impact upon women and children and leave specialised violence and abuse services facing a precarious future. Drawing on recent debates we describe the ‘positive empowerment’ approach used to engage victim-survivors and perpetrators of domestic violence in Project Mirabal. We conclude with recommendations for ethical decision-making in violence and abuse research: (i) to reconsider participants as active agents and stakeholders; (ii) to prioritise the development of skilled researchers; (iii) to develop situated processes of informed consent and confidentiality; and (iv) to continue to discuss and share practical experiences of feminist research practice that seeks to deliver justice and social change.

The intelligent controlling mechanism of a typical mobile robot is usually a computer system. Some recent research is ongoing in which biological neurons are being cultured and trained to act as the brain of an interactive real world robotthereby either completely replacing, or operating in a cooperative fashion with, a computer system. Studying such hybrid systems can provide distinct insights into the operation of biological neural structures, and therefore, such research has immediate medical implications as well as enormous potential in robotics. The main aim of the research is to assess the computational and learning capacity of dissociated cultured neuronal networks. A hybrid system incorporating closed-loop control of a mobile robot by a dissociated culture of neurons has been created. The system is flexible and allows for closed-loop operation, either with hardware robot or its software simulation. The paper provides an overview of the problem area, gives an idea of the breadth of present ongoing research, establises a new system architecture and, as an example, reports on the results of conducted experiments with real-life robots.