Class: FileBackedNeuroVec

Defined in: src/vec/FileBackedNeuroVec.ts:26

File-backed NeuroVec that loads data on demand Maintains an LRU cache of recently accessed volumes

Implements

• INeuroVec

Constructors

Constructor

new FileBackedNeuroVec(
   space, 
   dataGetter, 
   options?): FileBackedNeuroVec;

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

Parameters

space

NeuroSpace

dataGetter

(timeIndex) => Float32Array

options?

maxCacheSize?

number

dataSetter?

(timeIndex, data) => void

Returns

FileBackedNeuroVec

Properties

space

readonly space: NeuroSpace;

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

Implementation of

INeuroVec.space

Accessors

length

Get Signature

get length(): number;

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

Returns

number

Implementation of

INeuroVec.length

---

dim

Get Signature

get dim(): number[];

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

Returns

number[]

Implementation of

INeuroVec.dim

---

spacing

Get Signature

get spacing(): number[];

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

Returns

number[]

Implementation of

INeuroVec.spacing

---

origin

Get Signature

get origin(): number[];

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

Returns

number[]

Implementation of

INeuroVec.origin

Methods

getData()

getData(): any;

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

Returns

any

Implementation of

INeuroVec.getData

---

getRange()

getRange(): [number, number];

Defined in: src/vec/FileBackedNeuroVec.ts:72

Returns

[number, number]

Implementation of

INeuroVec.getRange

---

getAt()

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

Defined in: src/vec/FileBackedNeuroVec.ts:89

Parameters

i

number

j

number

k

number

t

number

Returns

number

Implementation of

INeuroVec.getAt

---

setAt()

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

Defined in: src/vec/FileBackedNeuroVec.ts:102

Parameters

i

number

j

number

k

number

t

number

value

number

Returns

void

Implementation of

INeuroVec.setAt

---

getVolume()

getVolume(t): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:126

Parameters

t

number

Returns

NeuroVol

Implementation of

INeuroVec.getVolume

---

getSeries()

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

Defined in: src/vec/FileBackedNeuroVec.ts:144

Parameters

i

number

j

number

k

number

Returns

number[]

Implementation of

INeuroVec.getSeries

---

getTimeSeries()

getTimeSeries(
   i, 
   j, 
   k): Float32Array;

Defined in: src/vec/FileBackedNeuroVec.ts:149

Parameters

i

number

j

number

k

number

Returns

Float32Array

Implementation of

INeuroVec.getTimeSeries

---

setTimeSeries()

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

Defined in: src/vec/FileBackedNeuroVec.ts:167

Parameters

i

number

j

number

k

number

data

Float32Array

Returns

void

Implementation of

INeuroVec.setTimeSeries

---

detrend()

detrend(method, options?): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:190

Parameters

method

DetrendMethod

options?

order?

number

Returns

INeuroVec

Implementation of

INeuroVec.detrend

---

temporalFilter()

temporalFilter(filter): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:195

Parameters

filter

TemporalFilter

Returns

INeuroVec

Implementation of

INeuroVec.temporalFilter

---

convolve()

convolve(kernel): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:200

Parameters

kernel

number[]

Returns

INeuroVec

Implementation of

INeuroVec.convolve

---

temporalSmooth()

temporalSmooth(sigma): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:205

Parameters

sigma

number

Returns

INeuroVec

Implementation of

INeuroVec.temporalSmooth

---

temporalMean()

temporalMean(): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:210

Returns

NeuroVol

Implementation of

INeuroVec.temporalMean

---

temporalStd()

temporalStd(): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:238

Returns

NeuroVol

Implementation of

INeuroVec.temporalStd

---

temporalMin()

temporalMin(): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:270

Returns

NeuroVol

Implementation of

INeuroVec.temporalMin

---

temporalMax()

temporalMax(): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:274

Returns

NeuroVol

Implementation of

INeuroVec.temporalMax

---

temporalMedian()

temporalMedian(): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:278

Returns

NeuroVol

Implementation of

INeuroVec.temporalMedian

---

temporalCorrelation()

temporalCorrelation(seed): NeuroVol;

Defined in: src/vec/FileBackedNeuroVec.ts:282

Parameters

seed

[number, number, number]

Returns

NeuroVol

Implementation of

INeuroVec.temporalCorrelation

---

temporalCorrelationMap()

temporalCorrelationMap(seedVol): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:287

Parameters

seedVol

NeuroVol

Returns

INeuroVec

Implementation of

INeuroVec.temporalCorrelationMap

---

zscore()

zscore(): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:291

Returns

INeuroVec

Implementation of

INeuroVec.zscore

---

percentSignalChange()

percentSignalChange(baseline?): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:296

Parameters

baseline?

number[]

Returns

INeuroVec

Implementation of

INeuroVec.percentSignalChange

---

clone()

clone(): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:301

Returns

INeuroVec

Implementation of

INeuroVec.clone

---

slice()

slice(startTime, endTime): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:308

Parameters

startTime

number

endTime

number

Returns

INeuroVec

Implementation of

INeuroVec.slice

---

concatenate()

concatenate(other): INeuroVec;

Defined in: src/vec/FileBackedNeuroVec.ts:338

Parameters

other

INeuroVec

Returns

INeuroVec

Implementation of

INeuroVec.concatenate

---

clearCache()

clearCache(): void;

Defined in: src/vec/FileBackedNeuroVec.ts:433

Clear the cache

Returns

void

---

getCacheStats()

getCacheStats(): object;

Defined in: src/vec/FileBackedNeuroVec.ts:441

Get cache statistics

Returns

object

size

size: number;

maxSize

maxSize: number;

hitRate

hitRate: number;