Class: MappedNeuroVec

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

Memory-mapped NeuroVec that provides efficient access to large datasets Uses ArrayBuffer for zero-copy operations where possible

Implements

• INeuroVec

Constructors

Constructor

new MappedNeuroVec(
   space, 
   buffer, 
   options?): MappedNeuroVec;

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

Parameters

space

NeuroSpace

buffer

ArrayBuffer

options?

MappedNeuroVecOptions = {}

Returns

MappedNeuroVec

Properties

space

readonly space: NeuroSpace;

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

Implementation of

INeuroVec.space

Accessors

length

Get Signature

get length(): number;

Defined in: src/vec/MappedNeuroVec.ts:78

Returns

number

Implementation of

INeuroVec.length

---

dim

Get Signature

get dim(): number[];

Defined in: src/vec/MappedNeuroVec.ts:82

Returns

number[]

Implementation of

INeuroVec.dim

---

spacing

Get Signature

get spacing(): number[];

Defined in: src/vec/MappedNeuroVec.ts:86

Returns

number[]

Implementation of

INeuroVec.spacing

---

origin

Get Signature

get origin(): number[];

Defined in: src/vec/MappedNeuroVec.ts:90

Returns

number[]

Implementation of

INeuroVec.origin

Methods

getData()

getData(): ArrayBuffer;

Defined in: src/vec/MappedNeuroVec.ts:94

Returns

ArrayBuffer

Implementation of

INeuroVec.getData

---

getRange()

getRange(): [number, number];

Defined in: src/vec/MappedNeuroVec.ts:98

Returns

[number, number]

Implementation of

INeuroVec.getRange

---

getAt()

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

Defined in: src/vec/MappedNeuroVec.ts:111

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/MappedNeuroVec.ts:116

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/MappedNeuroVec.ts:121

Parameters

t

number

Returns

NeuroVol

Implementation of

INeuroVec.getVolume

---

getSeries()

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

Defined in: src/vec/MappedNeuroVec.ts:146

Parameters

i

number

j

number

k

number

Returns

number[]

Implementation of

INeuroVec.getSeries

---

getTimeSeries()

getTimeSeries(
   i, 
   j, 
   k): Float32Array;

Defined in: src/vec/MappedNeuroVec.ts:151

Parameters

i

number

j

number

k

number

Returns

Float32Array

Implementation of

INeuroVec.getTimeSeries

---

setTimeSeries()

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

Defined in: src/vec/MappedNeuroVec.ts:169

Parameters

i

number

j

number

k

number

data

Float32Array

Returns

void

Implementation of

INeuroVec.setTimeSeries

---

detrend()

detrend(method, options?): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:186

Parameters

method

DetrendMethod

options?

order?

number

Returns

INeuroVec

Implementation of

INeuroVec.detrend

---

temporalFilter()

temporalFilter(filter): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:191

Parameters

filter

TemporalFilter

Returns

INeuroVec

Implementation of

INeuroVec.temporalFilter

---

convolve()

convolve(kernel): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:196

Parameters

kernel

number[]

Returns

INeuroVec

Implementation of

INeuroVec.convolve

---

temporalSmooth()

temporalSmooth(sigma): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:201

Parameters

sigma

number

Returns

INeuroVec

Implementation of

INeuroVec.temporalSmooth

---

temporalMean()

temporalMean(): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:206

Returns

NeuroVol

Implementation of

INeuroVec.temporalMean

---

temporalStd()

temporalStd(): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:229

Returns

NeuroVol

Implementation of

INeuroVec.temporalStd

---

temporalMin()

temporalMin(): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:256

Returns

NeuroVol

Implementation of

INeuroVec.temporalMin

---

temporalMax()

temporalMax(): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:260

Returns

NeuroVol

Implementation of

INeuroVec.temporalMax

---

temporalMedian()

temporalMedian(): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:264

Returns

NeuroVol

Implementation of

INeuroVec.temporalMedian

---

temporalCorrelation()

temporalCorrelation(seed): NeuroVol;

Defined in: src/vec/MappedNeuroVec.ts:268

Parameters

seed

[number, number, number]

Returns

NeuroVol

Implementation of

INeuroVec.temporalCorrelation

---

temporalCorrelationMap()

temporalCorrelationMap(seedVol): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:273

Parameters

seedVol

NeuroVol

Returns

INeuroVec

Implementation of

INeuroVec.temporalCorrelationMap

---

zscore()

zscore(): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:277

Returns

INeuroVec

Implementation of

INeuroVec.zscore

---

percentSignalChange()

percentSignalChange(baseline?): INeuroVec;

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

Parameters

baseline?

number[]

Returns

INeuroVec

Implementation of

INeuroVec.percentSignalChange

---

clone()

clone(): INeuroVec;

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

Returns

INeuroVec

Implementation of

INeuroVec.clone

---

slice()

slice(startTime, endTime): INeuroVec;

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

Parameters

startTime

number

endTime

number

Returns

INeuroVec

Implementation of

INeuroVec.slice

---

concatenate()

concatenate(other): INeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:331

Parameters

other

INeuroVec

Returns

INeuroVec

Implementation of

INeuroVec.concatenate

---

fromTypedArray()

static fromTypedArray(space, data): MappedNeuroVec;

Defined in: src/vec/MappedNeuroVec.ts:422

Create a MappedNeuroVec from a typed array

Parameters

space

NeuroSpace

data

| Uint8Array<ArrayBufferLike> | Float32Array<ArrayBufferLike> | Float64Array<ArrayBufferLike> | Int16Array<ArrayBufferLike>

Returns

MappedNeuroVec