Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A general feature of the cerebral cortex is its massive interconnectivity - it has been estimated anatomically [19] that cortical neurons receive upwards of 5,000 synapses, the majority of which originate from other nearby cortical neurons. Numerous experiments in primary visual cortex (V1) have revealed strongly nonlinear interactions beten stimulus elements which activate classical and non-classical receptive field regions. Recurrent cortical connections likely contribute substantially to these effects. Hover, most theories of visual processing have either assumed a feedforward processing scheme [7], or have used recurrent interactions to account for isolated effects only [1, 16, 18]. Since nonlinear systems cannot in general be taken apart and analyzed in pieces, it is not clear what one learns by building a recurrent model that only accounts for one, or very few phenomena. Here  develop a relatively simple model of recurrent interactions in V1, that reflects major anatomical and physiological features of intracortical connectivity, and simultaneously accounts for a wide range of phenomena observed physiologically. All phenomena  address are strongly nonlinear, and cannot be explained by linear feedforward models.
['Emanuel Todorov', 'Athanassios G. Siapas', 'David C. Somers']
I am writing a research paper on a idea A Model of Recurrent Interactions in Primary Visual Cortex
[{"from": "human", "value": "I am writing a research paper on a idea A Model of Recurrent Interactions in Primary Visual Cortex"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A general feature of the cerebral cortex is its massive interconnectivity - it has been estimated anatomically [19] that cortical neurons receive upwards of 5,000 synapses, the majority of which originate from other nearby cortical neurons. Numerous experiments in primary visual cortex (V1) have revealed strongly nonlinear interactions beten stimulus elements which activate classical and non-classical receptive field regions. Recurrent cortical connections likely contribute substantially to these effects. Hover, most theories of visual processing have either assumed a feedforward processing scheme [7], or have used recurrent interactions to account for isolated effects only [1, 16, 18]. Since nonlinear systems cannot in general be taken apart and analyzed in pieces, it is not clear what one learns by building a recurrent model that only accounts for one, or very few phenomena. Here  develop a relatively simple model of recurrent interactions in V1, that reflects major anatomical and physiological features of intracortical connectivity, and simultaneously accounts for a wide range of phenomena observed physiologically. All phenomena  address are strongly nonlinear, and cannot be explained by linear feedforward models."}]