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1 t onset of somatic AP was produced solely by backpropagation.
2 c potentials and facilitate action potential backpropagation.
3 nts are consistent with active, not passive, backpropagation.
4 t require axonal action potential firing and backpropagation.
5                     In machine learning, the backpropagation algorithm assigns blame by multiplying e
6 classical conditioning tasks using the error backpropagation algorithm to guide learning.
7 te structure in large data sets by using the backpropagation algorithm to indicate how a machine shou
8 al neural network-based model trained by the backpropagation algorithm.
9 e implemented in a network without using the backpropagation algorithm.
10                            In addition, this backpropagation also results in an unusually high rate o
11 fire tonically resulting in action potential backpropagation and dendritic Ca(2+) influx.
12 ing algorithms, such as k-nearest neighbors, backpropagation and probabilistic neural networks, often
13 of Kv4.2 subunits, regulate action potential backpropagation and the induction of specific forms of s
14                           We report enhanced backpropagation and theta resonance and decreased summat
15 ring rates reach 40 Hz (activity-independent backpropagation); and (3) do not exhibit signs of a 'cal
16 hat FSI was associated with action potential backpropagation (bAP) and a supralinear increase in dend
17                                        After backpropagation (BP) training, the ANN model was able to
18  (10 mM) had no effect on activity-dependent backpropagation but blocked the effect of CCh.
19 In association with the enhancement of spike backpropagation, CCh increased the amplitude and duratio
20 o dopamine, the pulses of GABA prohibited AP backpropagation distally from the application site, even
21             Non-decremental, non-dichotomous backpropagation in AOB primary dendrites ensures fast, r
22 ty-dependent attenuation of action-potential backpropagation in current-clamp simulations of a CA1 py
23 itic recording data means that the extent of backpropagation in thalamocortical (TC) and thalamic ret
24 alcium dynamics during action potential (AP) backpropagation in three types of V1 supragranular inter
25 uence synaptic potentiation following active backpropagation into dendrites.
26 tion and undergo strong attenuation in their backpropagation into the dendrites (length constant, 76
27 or local synaptic stimulation, and the rapid backpropagation into the dendritic arbor depended upon v
28 potential repolarization, repetitive firing, backpropagation (into dendrites) of action potentials, a
29                                              Backpropagation is limited, however, and action potentia
30 nberg-Marquardt, quasi-Newton, and resilient backpropagation methods are employed to train the ANN.
31 phic findings and patient age, a three-layer backpropagation network was developed to predict whether
32  analyzed with multivariate statistics and a backpropagation neural network (NN).
33 rs evaluated the performance of feed-forward backpropagation neural networks in predicting rapid prog
34 f the spectra using the multivariate methods backpropagation neural networks, decision tree, adaboost
35 ting the frequency of repetitive firing, the backpropagation of action potential into dendrites, and
36 tion of synaptic input or the initiation and backpropagation of action potentials in a branch-selecti
37                                          The backpropagation of action potentials into the dendritic
38 ppear at odds with the unusually weak active backpropagation of action potentials into the soma and d
39 h plasticity between LTD and LTP by boosting backpropagation of action potentials.
40  but is thought to rely in part on dendritic backpropagation of action potentials.
41                                              Backpropagation of autonomously generated APs was reliab
42  the dendritic arbor, calcium signals during backpropagation of both single APs and AP trains were re
43 of p-hydroxyphenacyl (pHP) GABA demonstrates backpropagation of GABAAR-mediated depolarizations from
44                                              Backpropagation of somatic action potentials generated S
45 ials in the axon initial segment followed by backpropagation of these spikes throughout the neuron re
46 rs of neurons and performs as effectively as backpropagation on a variety of tasks.
47 opamine is known to inhibit action potential backpropagation, our experiments revealed an unexpected
48 site of AP generation and the true extent of backpropagation remain unknown.
49  and action potential output caused by spike backpropagation results in the appearance of high spike
50 terpreting deep survival models using a risk backpropagation technique.
51                               Simulations of backpropagation using the device properties reach ideal
52                   This spatial control of AP backpropagation was mediated by Ia-type potassium curren
53                                              Backpropagation was reliant on Na+ channels: in 1 microm
54 and (iii) can be specified and trained using backpropagation with the same ease-of-use as contemporar

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