Abstract
Feedback is the fundamental property of neural circuits in the cerebral cortex. If cortical area A projects to cortical area B, then area B invariably sends feedback connections to area A. Similarly, within a given cortical area, there exists massive recurrent excitatory feedback between pyramidal neurons due to local horizontal connections.In cortical information processing feeback plays vital role. In this paper we reviewed the neural coding strategies and learning methods based on the idea of feedback connections between cortical areas instantiate statistical generative models of cortical inputs.
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Diana Andrushia, A., Thangarajan, R. (2012). Survey on Information Processing in Visual Cortex: Cortical Feedback and Spiking Neural Network. In: Kim, Th., Ko, Ds., Vasilakos, T., Stoica, A., Abawajy, J. (eds) Computer Applications for Communication, Networking, and Digital Contents. FGCN 2012. Communications in Computer and Information Science, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35594-3_44
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DOI: https://doi.org/10.1007/978-3-642-35594-3_44
Publisher Name: Springer, Berlin, Heidelberg
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