Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One class of cognitive models, accumulator models (AMs), is a framework to explain cognitive mechanisms of reaction timing. In AMs, an internal signal, which grows linearly with time upon the onset of an external stimulus, is postulated. Reaction time is dened by the time at which the signal reaches a predened threshold level. Indeed, cortical neurons with activity that grows seemingly linearly with time are largely found, which is consistent with AMs. Here  show that stochastic dynamics of a recurrent network of bistable spiking neurons can produce linear growth of neuronal activity. This suggests possible neural bases of AMs. c � 2003 Elsevier Science B.V. All rights reserved.
['Hiroshi Okamoto', 'Tomoki Fukai']
I am writing a research paper on a idea Neural bases of accumulator models
[{"from": "human", "value": "I am writing a research paper on a idea Neural bases of accumulator models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: One class of cognitive models, accumulator models (AMs), is a framework to explain cognitive mechanisms of reaction timing. In AMs, an internal signal, which grows linearly with time upon the onset of an external stimulus, is postulated. Reaction time is dened by the time at which the signal reaches a predened threshold level. Indeed, cortical neurons with activity that grows seemingly linearly with time are largely found, which is consistent with AMs. Here  show that stochastic dynamics of a recurrent network of bistable spiking neurons can produce linear growth of neuronal activity. This suggests possible neural bases of AMs. c \ufffd 2003 Elsevier Science B.V. All rights reserved."}]