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The averaging process over a large population of stochastic stimulation epochs cancels out the temporally changing components that a spike does not prefer, leaving the optimal signal for a neuron response.
As described in Section 3.1, the cochlear power feature can be considered as neuron response in the inner hair cells, and hair cells have receptive fields which refer to a coding of sound frequency.
A recent review [1] states that current models of the primary visual cortex (V1) of mammals explain less than 50% of neuron response variance and that "as much as 85% of V1 function has yet to be accounted for".
Researchers believe the speed of the neuron response -- on the order of milliseconds -- and the uniformity of response times regardless of where stimuli appeared rule out issues such as expectation, or attentional signals from elsewhere in the brain.
Neuron response intensities are represented by variables X and Y.
V1 neuron response latencies start at 30 ms – [98], [99].
Similar(21)
We predicted that BZ responses in primary neurons would be preserved when other odor responsive sensory neurons were ablated, while secondary neuron responses would require functional signaling from intact primary neurons.
Through a series of experiments the dynamics of the neuroprocessors are evaluated and compared with real neuron responses.
Here we analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neuron responses.
We then tested these models by recording in vivo receptor neuron responses to a new set of odorants and successfully predicted the responses of five out of seven receptor neurons.
The relationship of different neuron dynamics to phase plane structures that approximate the firing threshold has been developed as a diagnostic tool to understand variable neuron responses to fluctuating environmental parameters (see, e.g., [30] and references therein).
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