Sentence examples for neuron in terms of from inspiring English sources
Third, information-theoretic data analyses open up novel ways to search for those stimuli that are most efficient in driving a given neuron in terms of its firing rate or coding quality.
An activation function, φ v), defines the output of a neuron in terms of the linear combination of inputs, v.
In the circuit, the single type of bilateral AFD neuron is the best-characterized thermosensory neuron in terms of its behavioural and molecular characteristics (Kimura et al, 2004; Biron et al, 2006; Mori et al, 2007).
Our results show that the ANLSH is more advantageous for the neuron in terms of ATP produced, both under hypoxic and normoxic conditions, although it does not provide a significant advantage for the astrocyte.
In this study, we have demonstrated that the ANLSH is more advantageous for the neuron in terms of ATP produced, both under hypoxic and normoxic conditions, although it does not provide a significant advantage for the astrocyte.
Finally, we tested whether the ON OFF tuning could be used to predict the preference of a neuron, in terms of response magnitude, to ON stimuli as compared to impulsive stimuli.
How does it compare to a real neuron-neuron interaction in terms of energy and speed?
A number of computational models have explained the behavior of dopamine neurons in terms of temporal difference learning.
There was also a lack of 'cross-talk' between neurons in terms of their individual temporal response patterns to different spatiotemporal stimulation patterns (Fig. 6A).
Of the 82 cell-attached recordings, 12 neurons had a narrower spike width than the others and could be classified as putative interneurons according to Luczak, et al.17, but these neurons did not stand out from the other neurons in terms of the response patterns described below and are hence not indicated separately.
Neural fields represent the large-scale dynamics of spatially structured networks of neurons in terms of nonlinear integrodifferential equations, whose associated kernels represent the spatial distribution of neuronal synaptic connections.
