Table 1 Microscopic parameters associated with dynamic dendrite tips

From: Neurons exploit stochastic growth to rapidly and economically build dense dendritic arbors

Parameter

Symbol

Unit

24 h AEL

48 h AEL

96 h AEL

Source

Branching rate

\({k}_{{{{\rm{b}}}}}\)

min‒1·µm‒1

0.0082 ± 0.0017

0.0016 ± 0.0007

0.0009 ± 0.0006

*

Growing speed

\({v}_{{{{\rm{G}}}}}\)

µm·min‒1

1.61 ± 0.60

1.62 ± 0.67

1.64 ± 0.91

*

Shrinking speed

\({v}_{S}\)

µm·min‒1

1.53 ± 0.59

1.08 ± 0.46

1.33 ± 0.61

*

Transition rate

\({k}_{{{{\rm{GP}}}}}\)

min‒1

0.784 ± 0.036

0.933 ± 0.044

0.923 ± 0.034

*

Transition rate

\({k}_{{{{\rm{GS}}}}}\)

min‒1

0.640 ± 0.033

0.435 ± 0.030

0.799 ± 0.032

*

Transition rate

\({k}_{{{{\rm{PG}}}}}\)

min‒1

0.335 ± 0.015

0.155 ± 0.007

0.116 ± 0.004

*

Transition rate

\({k}_{{{{\rm{PS}}}}}\)

min‒1

0.314 ± 0.014

0.235 ± 0.009

0.117 ± 0.004

*

Transition rate

\({k}_{{{{\rm{SG}}}}}\)

min‒1

0.598 ± 0.033

0.282 ± 0.022

0.575 ± 0.027

*

Transition rate

\({k}_{{{{\rm{SP}}}}}\)

min‒1

0.946 ± 0.041

1.251 ± 0.045

1.276 ± 0.040

*

Drift velocity

\(\bar{v}\)

µm·min‒1

0.038 ± 0.019

0.027 ± 0.018

0.022 ± 0.018

**

Diffusion

\(D\)

µm2·min‒1

0.5039 ± 0.0443

0.2673 ± 0.0691

0.0216 ± 0.0332

**

Rebranching probability

\(\beta\)

‒

0.19 ± 0.04

0.17 ± 0.05

0.19 ± 0.02

***

Geometric factor

\(\alpha\)

‒

1.564

1.462

1.359

****

Diffusion factor

\(\gamma\)

-

0.602

0.580

0.678

****

  1. The subscripts G, S, and P denote growing, shrinking, and paused states. The transition rate \({k}_{{{{\rm{GP}}}}}\) denotes the rate of transition from the growing to the paused states. The errors are SEs except for the branching rates and speeds, and rebranching probability which are SDs.
  2. * Shree et al.20. ** Calculated from the transition matrix (Methods). *** Fig. 3d. **** See text and Methods.