Table 3 Description of BELBFM Components and their interactions.

From: Simultaneous prediction of 10m and 100m wind speeds using a model inspired by brain emotional learning

Block

Equation

Unit

Role

Inputs

Output

Sensory input

(SC)

(2)

Receives and labels input signals

V10, U10, V100, U100

\(\:{SI}_{t}^{S}\)

Thalamus

(TH)

(3)

Generates wind speed values

\(\:{SI}_{t}^{S}\)

\(\:{TH}_{t}^{S}\)

Sensory cortex (SC)

(4) to (6)

Generates and distributes input-target vectors

\(\:{TH}_{t}^{S}\)

\(\:{SC}_{t}^{O1}\), \(\:{SC}_{t}^{O2}\), \(\:{SC}_{t}^{A}\)

Orbitofrontal cortex

(OFC)

MLP model

O1

Basic memory unit trained on 10 m wind speed data

\(\:{SC}_{t}^{O1}\)

\(\:{O1}_{t}\)

MLP model

O2

Basic memory unit trained on 100 m wind speed data

\(\:{SC}_{t}^{O2}\)

\(\:{O2}_{t}\)

(10)

WO1

Functional memory associated with O1

\(\:{Z}_{t}^{(O1,S)}\)

\(\:{{W}{O}1}_{t}\)

(11)

WO2

Functional memory associated with O2

\(\:{Z}_{t}^{(O2,S)}\)

\(\:{{W}{O}2}_{t}\)

Amygdala

(AMIG)

MLP model

A

Basic memory unit trained on both 10 and 100 m wind speed data

\(\:{SC}_{t}^{A}\)

\(\:{A}_{t}\)

(12)

WA

Functional memory associated with A

\(\:{Z}_{t}^{(A,S)}\)

\(\:{{W}{A}}_{t}\)

(18) or (19)

F

Fuses the results to generate the final output of the model

\(\:{O1}_{t}\), \(\:{O2}_{t}\), \(\:{A}_{t}\)

\(\:{{W}{O}1}_{t}\), \(\:{{W}{O}2}_{t}\), \(\:{{W}{A}}_{t}\)

\(\:{F}_{t}^{S}\)