Modelling contrast-dependent latency dynamics of STS neuro responses in a spiking neural network (PhD)

Experimental work investigating the responses of neurons in the higher areas of the visual system has shown that the presentation of a visual stimulus at high contrast elicits a neural response with short latency, and presentation of a visual stimulus at low contrast elicits a neural response at longer latency (Oram et al, 2002), irrespective of stimulus preference. An existing model seeks to explain this using recurrent connections with depressing synapses (van Rossum et al, unpublished work). The project proposed is to extend this model, using it to further explain experimental data and to examine theoretical implications.

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Related Publications and Presentations

  • Lawrence C. York, Dominic K.S. Marjoram, Stephen Lawrie, and Bill Moorhead, “Probabilistic Independent Component Analysis of fMRI Data”, DTC Day, University of Edinburgh, 2006.
  • Lawrence C. York, Mike Oram, and Mark C W Van Rossum, “Contrast dependent response latency in a spiking neural network”, European Conference on Visual Perception, 2007.

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