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EPSRC Reference: GR/R12350/01
Title: The Role of Correlated Synaptic Activity In Neural Integration
Principal Investigator: Halliday, Dr D
Other Investigators:
Tyrrell, Professor A Tyrell, Professor A
Researcher Co-Investigators:
Project Partners:
Department: Electronics
Organisation: University of York
Scheme: Standard Research (Pre-FEC)
Starts: 01 September 2001 Ends: 28 February 2003 Value (£): 61,941
EPSRC Research Topic Classifications:
Biomedical neuroscience
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
23 Jan 2001 Software Technologies Deferred
Summary on Grant Application Form
Observations in humans and primates have revealed the presence of synchronous rhythmic activity between sensorimotor cortex and spinal cord during maintained voluntary contractions. Similar observations from studies on the visual system have lead to the suggestion that such rhythmicity and synchronization reflect mechanisms underlying the integration of distributed neural processes in the nervous system. Therefore, integration of neuronal activity from distributed sites in different systems may involve common mechanisms at the level of interacting spiking neurones. At the neuronal level, the study of neural integration is the study of large scale synaptic integration. Within single neurones, the spatial-temporal interaction between the timing of individual inputs and their input location on the dendritic tree results in the small random fluctuations in membrane potential throughout the cell. The study of these spatial-temporal interactions is therefore a key aspect in understanding the computational properties of neurones, i.e. how the large number of inputs are assimilated into the single output discharge of the cell. We propose an interdisciplinary research program using simulation studies combined with multivariate Fourier methods for analysis of stochastic data to study spatial-temporal integration in single neurones and networks of neurones. It is hypothesised that weak stochastic temporal correlation amongst large populations of spike trains plays an important part in neural integration within the human central nervous system.
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