Interface: INeuroVec

Defined in: src/vec/INeuroVec.ts:25

Enhanced NeuroVec interface with time series operations

Properties

space

readonly space: NeuroSpace;

Defined in: src/vec/INeuroVec.ts:27

---

length

readonly length: number;

Defined in: src/vec/INeuroVec.ts:28

---

dim

readonly dim: number[];

Defined in: src/vec/INeuroVec.ts:29

---

spacing

readonly spacing: number[];

Defined in: src/vec/INeuroVec.ts:30

---

origin

readonly origin: number[];

Defined in: src/vec/INeuroVec.ts:31

Methods

getAt()

getAt(
   i, 
   j, 
   k, 
   t): number;

Defined in: src/vec/INeuroVec.ts:34

Parameters

i

number

j

number

k

number

t

number

Returns

number

---

setAt()

setAt(
   i, 
   j, 
   k, 
   t, 
   value): void;

Defined in: src/vec/INeuroVec.ts:35

Parameters

i

number

j

number

k

number

t

number

value

number

Returns

void

---

getVolume()

getVolume(t): NeuroVol;

Defined in: src/vec/INeuroVec.ts:36

Parameters

t

number

Returns

NeuroVol

---

getData()

getData(): any;

Defined in: src/vec/INeuroVec.ts:37

Returns

any

---

getRange()

getRange(): [number, number];

Defined in: src/vec/INeuroVec.ts:38

Returns

[number, number]

---

getTimeSeries()

getTimeSeries(
   i, 
   j, 
   k): Float32Array;

Defined in: src/vec/INeuroVec.ts:41

Parameters

i

number

j

number

k

number

Returns

Float32Array

---

setTimeSeries()

setTimeSeries(
   i, 
   j, 
   k, 
   data): void;

Defined in: src/vec/INeuroVec.ts:42

Parameters

i

number

j

number

k

number

data

Float32Array

Returns

void

---

getSeries()

getSeries(
   i, 
   j, 
   k): number[];

Defined in: src/vec/INeuroVec.ts:43

Parameters

i

number

j

number

k

number

Returns

number[]

---

detrend()

detrend(method, options?): INeuroVec;

Defined in: src/vec/INeuroVec.ts:46

Parameters

method

DetrendMethod

options?

order?

number

Returns

INeuroVec

---

temporalFilter()

temporalFilter(filter): INeuroVec;

Defined in: src/vec/INeuroVec.ts:47

Parameters

filter

TemporalFilter

Returns

INeuroVec

---

convolve()

convolve(kernel): INeuroVec;

Defined in: src/vec/INeuroVec.ts:48

Parameters

kernel

number[]

Returns

INeuroVec

---

temporalSmooth()

temporalSmooth(sigma): INeuroVec;

Defined in: src/vec/INeuroVec.ts:49

Parameters

sigma

number

Returns

INeuroVec

---

temporalMean()

temporalMean(): NeuroVol;

Defined in: src/vec/INeuroVec.ts:52

Returns

NeuroVol

---

temporalStd()

temporalStd(): NeuroVol;

Defined in: src/vec/INeuroVec.ts:53

Returns

NeuroVol

---

temporalMin()

temporalMin(): NeuroVol;

Defined in: src/vec/INeuroVec.ts:54

Returns

NeuroVol

---

temporalMax()

temporalMax(): NeuroVol;

Defined in: src/vec/INeuroVec.ts:55

Returns

NeuroVol

---

temporalMedian()

temporalMedian(): NeuroVol;

Defined in: src/vec/INeuroVec.ts:56

Returns

NeuroVol

---

temporalCorrelation()

temporalCorrelation(seed): NeuroVol;

Defined in: src/vec/INeuroVec.ts:59

Parameters

seed

[number, number, number]

Returns

NeuroVol

---

temporalCorrelationMap()

temporalCorrelationMap(seedVol): INeuroVec;

Defined in: src/vec/INeuroVec.ts:60

Parameters

seedVol

NeuroVol

Returns

INeuroVec

---

zscore()

zscore(): INeuroVec;

Defined in: src/vec/INeuroVec.ts:63

Returns

INeuroVec

---

percentSignalChange()

percentSignalChange(baseline?): INeuroVec;

Defined in: src/vec/INeuroVec.ts:64

Parameters

baseline?

number[]

Returns

INeuroVec

---

clone()

clone(): INeuroVec;

Defined in: src/vec/INeuroVec.ts:67

Returns

INeuroVec

---

slice()

slice(startTime, endTime): INeuroVec;

Defined in: src/vec/INeuroVec.ts:68

Parameters

startTime

number

endTime

number

Returns

INeuroVec

---

concatenate()

concatenate(other): INeuroVec;

Defined in: src/vec/INeuroVec.ts:69

Parameters

other

INeuroVec

Returns

INeuroVec