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Paper: Python in neuroscience (2009-12-11)
Godfrey KB, Eglen SJ, Swindale NV (2009) A multi-component model of the developing retinocollicular pathway incorporating axonal and synaptic growth. PLoS Comput Biol 5(12):e1000600.
Paper: Python in neuroscience (2009-07-20)
Spacek MA, Swindale NV (2009) Python in neuroscience. Neuromorphic Engineer 10.2417/1200907.1682.
Paper: Python for large-scale electrophysiology (2009-01-29)
Spacek MA, Blanche TJ, Swindale NV (2009) Python for large-scale electrophysiology. Front Neuroinform 2:9.
Latest revision of dimstim visual stimulation software, is now available (2008-05-22)
See the dimstim page.
Paper: Feedback decoding of spatially structured population activity in cortical maps (2008-01-25)
Swindale NV (2008) Feedback decoding of spatially structured population activity in cortical maps. Neural Computation 20:176-204.
Paper: Retinal wave behavior through activity-dependent refractory periods (2008-01-25)
Godfrey KB, Swindale NV (2007) Retinal wave behavior through activity-dependent refractory periods. PLoS Comput Biol 3(11):e245.
Paper: Visual cortex: more wiggle room for the brain (2008-01-25)
Swindale NV (2007) Visual cortex: more wiggle room for the brain. Current Biology 17(24):R1055-7.
Paper: A model for the thick, thin and pale stripe organization of primate V2 (2008-01-25)
Swindale NV (2007) A model for the thick, thin and pale stripe organization of primate V2. Network 18(4):327-42.
SfN 2007 posters are up (2007-11-01)
Spacek MA, Blanche TJ, Seamans JK, Swindale NV (2007) Accounting for network states in cortex: are (local) pairwise correlations sufficient? Soc Neurosci Abstr 37:790.1.
Godfrey KB, Swindale NV (2007) Spiking model for retinotopic organization and eye-specific segregation. Soc Neurosci Abstr 37:36.4.
Switched to wiki (2007-08-23)
Switched the website to a MoinMoin wiki.
Paper: The singular precision of visual cortex maps (2006-12-05)
Swindale NV (2006) Cerebral cortex: The singular precision of visual cortex maps. Current Biology 16(23):991-994.
Paper: Nyquist interpolation (2006-07-15)
Blanche TJ, Swindale NV (2006) Nyquist interpolation improves neuron yield in multiunit recordings. Journal of Neuroscience Methods 155(1):81-91.
