The phrase "aspects of the input" is correct and usable in written English.
It can be used when discussing different features, elements, or characteristics of a given input in various contexts, such as data analysis or feedback.
Example: "In our analysis, we will examine the various aspects of the input to determine its effectiveness."
Alternatives: "elements of the input" or "features of the input".
The functional localization assumption states that units or subunits within an information processing system become functionally specialized for dealing with specific aspects of the input environment.
A second main finding was that the same tactile afferent input could be encoded in different temporal response patterns between neurons, which suggest that the brain can channel tactile information through multiple parallel processing networks, possibly focussing on complementary aspects of the input information.
Taken together, these results suggest that in systems designed to respond to temporal aspects of the input, SFA and STD might constitute two necessary, linked elements whose simultaneous interplay is important for the performance of the system.
As such, we chose to look at some aspects of the input and process indicators for which secondary data was available.
Our results suggest that during speech perception low-frequency phase of the MEG signal corresponds to neither abstract linguistic units nor holistic evoked potentials but rather tracks different aspects of the input signal.
Clearly users who spend additional effort on improving the different aspects of the input alignments will be able to achieve higher detection rates.
However, the present cluster-based N-way analysis revealed additional aspects of the input-output relationships, for example the negative effect of increasing v dPCN on the state variable P C in the part of the model output space defined by Cluster 2. Hence, the N-way HC-PLSR-based metamodelling worked as intended in this illustration example.
Our main concern is showing how modifying certain aspects of the inputs affects a possible goal-specific activity in the map.
An attractor network has several preferred activity states, such that relevant external inputs cause network activity to change dynamically and approach one of these preferred states, usually the one most closely correlated with some aspects of the inputs.
Specifically, we investigate (1) whether such an organization can develop without assumptions on the functional role of mirror neurons and (2) which aspects of the inputs to the mirror system may influence the development of such goal-specific neurons.
This article presents the mathematical framework to evaluate the sensitivity of a forecast error aspect to the input parameters of a weak-constraint four-dimensional variational data assimilation system (w4D-Var DAS), extending the established theory from strong-constraint 4D-Var.
