"reverse connection" is a valid phrase used in written English.
It can be used to indicate that two people or objects are interacting with each other in a different way than anticipated. For example, "I was surprised when I noticed the reverse connection between the two countries' economies."
The enlarged insets clearly show that the shape of the response signals is reversed in the reverse connection.
b The output voltages and currents generated by the PGCT of about ~1 V and about ~150 nA in the reverse connection.
In contrast to the forward connection, in Fig. 3b, the peak voltage and current in the reverse connection are about ~1 V and ~150 nA, respectively, which are generated via a cantilever flapping at constant frequency (~4.5 Hz) too.
Then the coefficients beta_{i}=1-nalpha_{i} (19) are nonnegative, and their sum is equal to 1. Since (beta_{i}=1-sum_{i neq j=1}^{n+1}beta_{j}), the reverse connection alpha_{i}=frac{sum_{i neq j=1}^{n+1}beta_{j}}{n} (20) follows.
Therefore, our results strongly support excitation from aBN1 to aBN2, but we only find weak functional imaging-based evidence supporting the reverse connection.
In the third model, which represented a control suggested by one of our reviewers, this modulatory effect acted on the reverse connection, V1→A1.
Fig. 3 Validated polarity via forward and reverse connections measurements.
The common method to validate polarity was applied forward and reverse connections measurements.
While the shape of the response signals remains the same under forward and reverse connections measurements, the signal is definitely obtained from the noise or other forms instead of piezoelectric signal.
Since, there were individuals in the department who professionally served as the consultants and information sources, the majority of the staff were turning to them for getting information; and reverse connections were not happening frequently.
Furthermore, it is far from clear that the brain contains the kind of reverse connections that would be needed if the brain were to learn by a process like backpropagation, and the immense number of repetitions needed for such training methods seems far from realistic.
