Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-75555-5_32
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Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision

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“…Clearly the shape must reflect the construct and limitations of the physical mechanism underlying perception, that is, it must reflect the neural activity in the task relevant areas of the brain. It has previously been demonstrated that individual sensory neurons show response functions (firing rate vs. stimulus intensity) that closely resemble the psychometric function seen in detection tasks, such as the logistic distribution (Lansky, Pokora, & Rospars, 2007). In NTVA, which is a neural interpretation of TVA (Bundesen, Habekost, & Kyllingsbaek, 2005), it is assumed that the rate at which stimuli are perceptually processed is proportional to neural firing rates in the visual cortex.…”
mentioning
confidence: 98%
“…Clearly the shape must reflect the construct and limitations of the physical mechanism underlying perception, that is, it must reflect the neural activity in the task relevant areas of the brain. It has previously been demonstrated that individual sensory neurons show response functions (firing rate vs. stimulus intensity) that closely resemble the psychometric function seen in detection tasks, such as the logistic distribution (Lansky, Pokora, & Rospars, 2007). In NTVA, which is a neural interpretation of TVA (Bundesen, Habekost, & Kyllingsbaek, 2005), it is assumed that the rate at which stimuli are perceptually processed is proportional to neural firing rates in the visual cortex.…”
mentioning
confidence: 98%
“…, x d ) but x j are assumed to be fixed. In practice, stimulus-response curves are oftentimes strictly monotone (increasing or decreasing [11,16]), meaning that their first derivative with respect to the input x j does not change sign on suitably chosen intervals. Another common feature of stimulus-response curves is their sigmoidal form [3], characterized by a bell-shaped first derivative, as will be made precise later.…”
Section: Sigmoidal Stimulus-response Curvesmentioning
confidence: 99%