Coding of Objects in Low-Level Visual Cortical Areas
We develop a neural network architecture to help model the creation of visual temporal object representations. We take visual input to be hard-wired up to and including V1 (as an orientation-filtering system). We then develop architectures for afferents to V2 and thence to V4, both of which are trained by a causal Hebbian law. We use an incremental approach, using sequences of increasingly complex stimuli at an increasing level of the hierarchy. The V2 representations are shown to encode angles, and V4 is found sensitive to shapes embedded in figures. These results are compared to recent experimental data, supporting the incremental training scheme and associated architecture.
KeywordsExcitatory Neuron Articulation Point Prefer Pair Maximal Pair Excitatory Population
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- 1.Somers, D.C., Nelson, S.B., Sur, M.: An Emergent Model of Orientation Selectivity in Cat Visual Cortical Simple Cells. J. Neurosci. 15, 5448–5465 (2005)Google Scholar
- 2.Troyer, T.W., Krukowski, A.E., Priebe, N.J., Miller, K.D.: Contrast-Invariant Orientation Tuning in Cat Visual Cortex: Thalamocortical Input Tuning and Correlation-Based Intracortical Activity. J. Neurosci. 18, 5908–5927 (1998)Google Scholar
- 3.Lauritsen, T.Z., Miller, K.D.: Different Roles for Simple-Cell and Complex-Cell Inhibition. J. Neurosci. 23, 10201–10213 (2003)Google Scholar
- 6.Riesenhuber, M., Poggio, T.: Models of object recognition. Nature Neurosci. (suppl. 3), 1199–1204 (2000)Google Scholar
- 7.Giese, M., Leopold, D.A.: Physiologically inspired neural model for the encoding of face spaces (2004) (preprint) Google Scholar
- 11.Pasupathy, A., Connor, C.E.: Shape Representation in Area V4: Position-Specific Tuning for Boundary Configuration. J. Neurophysiol. 86, 2505–2519 (2001)Google Scholar
- 12.Hegde, J., Van Essen, D.C.: Selection for Complex Shapes in Primate Visual Area V2. J. Neurosci. 20(RC61), 1–6 (2000)Google Scholar
- 14.Bi, G.-Q., Poo, M.-M.: Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. J. Neurosci. 18, 10464–10472 (1998)Google Scholar
- 16.Taylor, J., Hartley, M., Taylor, N.: Attention as Sigma-Pi Controlled Ach-Based Feedback. In: IJCNN 2005 (2005) (submitted)Google Scholar