Graduate Program in Neuroscience, Mathematical Biology Program, Institute of Applied Mathematics
I am interested in vision, and the development and organization of the primary visual cortex. This includes studying how the genes and environment interact in early post-natal development, how cellular mechanisms contribute to perceptual processing, and how disorders such as amblyopia and glaucoma may affect visual function. I use computer models to simulate developmental mechanisms, cats as experimental models for visual processing, and humans as subjects for psychophysical research. Present and past research projects include the following:
- Application of neural net models to the formation of computational maps of ocular dominance and orientation columns in the visual cortex
- Analysis of columnar organization in the cat visual cortex using optical recording of stimulus evoked neural activity
- Multi-electrode recording methods for the comparison of receptive field properties in simultaneously recorded clusters of neurons
- Quantitative analysis and modeling of spatial summation in simple and complex cell receptive fields in cat visual cortex
- Physiological and psychophysical studies of the mechanisms of vernier hyperacuity
- The development of clinically diagnostic psychophysical tests of visual function in glaucoma
- Early detection of glaucoma using mathematical modelling of optic nerve head shape and neural network methods for classifying images as normal or glaucomatous.
Spacek, M, Blanche, T, Swindale N (2009) Python for large-scale electrophysiology. Frontiers in Neuroinformatics , 2 (9), 1 – 10.
Godfrey, KB, Eglen SJ and Swindale, NV (2009) A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth.” PLoS Comput Biol. Dec ;5 (12):e1000600, 1 – 22.
Swindale, N.V. (2008) Feedback Decoding of Spatially Structured Population Activity in Cortical Maps. Neural Computation , 20 , 176-204
Godfrey, KB and Swindale, NV (2007) Retinal wave behaviour through activity dependent refractory periods. PLoS Computational Biology , 3 (11), 1 – 13.
Swindale, NV (2007) A model for the thick, thin and pale stripe organization of primate V2. Network: Computation in Neural Systems , 18 , 327-342.
Swindale, N.V., Stjepanovic, G., Chin A. & Mikelberg F.S. (2000) Automated analysis of normal and glaucomatous optic nerve head topography images. Investigative Ophthalmology and Visual Science, 41, 1730-1742.