Live Work: The Impact of Direct Encounters in Statutory Child and Family Social Wor

The aim of this research project was to examine the impact of direct work on practitioners in the field of statutory child protection. The author’s premise was that this work was anything but straightforward and that surprisingly, given the intense scrutiny on Children’s Services following a child death, there was little research into the day-to-day practice of front line staff. The aim was to explore whether psychoanalytic theory could be useful in understanding and making sense of the social work task. Data was collected through observation and semi-structured interviews in one Local Authority Child in Need team over a period of six months. The findings indicated that practitioners experienced direct work with some individuals and families as profoundly disturbing and that this affected them physiologically as well as psychologically. These effects persisted over time and appeared very difficult for the workers to process or articulate. This could be expressed through embodied or non-verbal communication in the interview. Practitioners appeared to be ‘inhabited’ by particular clients, suggesting phenomena such as projective identification were in operation. The intensity and persistence of the impact on the practitioners appears to be directly related to the quality, nature and intensity of the psychic defences functioning for the particular client. Significantly, the research indicated that when practitioners were dealing with the negative and disturbing projections from the (adult) clients it seemed from the data that the focus on the child would slip so that the child appeared to recede from view. Symptoms experienced by the practitioners were akin to trauma and research and theory on primary and secondary trauma were considered. Other issues raised included shame, which affects the clients, practitioners and the organisation and the meaning and implications of this are explored. Links between neuroscience and projective identification are addressed as well as the role of the organisation, particularly as a container for these toxic and disturbing encounters.

Spiking neural network connectivity and its potential for temporal sensory processing and variable binding

The most biologically-inspired artificial neurons are those of the third generation, and are termed spiking neurons, as individual pulses or spikes are the means by which stimuli are communicated. In essence, a spike is a short-term change in electrical potential and is the basis of communication between biological neurons. Unlike previous generations of artificial neurons, spiking neurons operate in the temporal domain, and exploit time as a resource in their computation. In 1952, Alan Lloyd Hodgkin and Andrew Huxley produced the first model of a spiking neuron; their model describes the complex electro-chemical process that enables spikes to propagate through, and hence be communicated by, spiking neurons. Since this time, improvements in experimental procedures in neurobiology, particularly with in vivo experiments, have provided an increasingly more complex understanding of biological neurons. For example, it is now well-understood that the propagation of spikes between neurons requires neurotransmitter, which is typically of limited supply. When the supply is exhausted neurons become unresponsive. The morphology of neurons, number of receptor sites, amongst many other factors, means that neurons consume the supply of neurotransmitter at different rates. This in turn produces variations over time in the responsiveness of neurons, yielding various computational capabilities. Such improvements in the understanding of the biological neuron have culminated in a wide range of different neuron models, ranging from the computationally efficient to the biologically realistic. These models enable the modeling of neural circuits found in the brain.

Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding

The most biologically-inspired artificial neurons are those of the third generation, and are termed spiking neurons, as individual pulses or spikes are the means by which stimuli are communicated. In essence, a spike is a short-term change in electrical potential and is the basis of communication between biological neurons. Unlike previous generations of artificial neurons, spiking neurons operate in the temporal domain, and exploit time as a resource in their computation. In 1952, Alan Lloyd Hodgkin and Andrew Huxley produced the first model of a spiking neuron; their model describes the complex electro-chemical process that enables spikes to propagate through, and hence be communicated by, spiking neurons. Since this time, improvements in experimental procedures in neurobiology, particularly with in vivo experiments, have provided an increasingly more complex understanding of biological neurons. For example, it is now well understood that the propagation of spikes between neurons requires neurotransmitter, which is typically of limited supply. When the supply is exhausted neurons become unresponsive. The morphology of neurons, number of receptor sites, amongst many other factors, means that neurons consume the supply of neurotransmitter at different rates. This in turn produces variations over time in the responsiveness of neurons, yielding various computational capabilities. Such improvements in the understanding of the biological neuron have culminated in a wide range of different neuron models, ranging from the computationally efficient to the biologically realistic. These models enable the modelling of neural circuits found in the brain. In recent years, much of the focus in neuron modelling has moved to the study of the connectivity of spiking neural networks. Spiking neural networks provide a vehicle to understand from a computational perspective, aspects of the brain’s neural circuitry. This understanding can then be used to tackle some of the historically intractable issues with artificial neurons, such as scalability and lack of variable binding. Current knowledge of feed-forward, lateral, and recurrent connectivity of spiking neurons, and the interplay between excitatory and inhibitory neurons is beginning to shed light on these issues, by improved understanding of the temporal processing capabilities and synchronous behaviour of biological neurons. This research topic aims to amalgamate current research aimed at tackling these phenomena.

Editorial: Facing the Other: Novel Theories and Methods in Face Perception Research

The Editorial on the Research Topic: Facing the Other: Novel Theories and Methods in Face Perception Research