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Class: DenseNeuroHyperVec ​

Defined in: src/hypervec/NeuroHyperVec.ts:22

Dense implementation of NeuroHyperVec

Implements ​

Constructors ​

Constructor ​

ts
new DenseNeuroHyperVec(
   space, 
   dimensions, 
   data?): DenseNeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:30

Parameters ​

space ​

NeuroSpace

dimensions ​

DimensionInfo[]

data? ​

Float32Array<ArrayBufferLike>

Returns ​

DenseNeuroHyperVec

Properties ​

spatialDim ​

ts
spatialDim: [number, number, number];

Defined in: src/hypervec/NeuroHyperVec.ts:23

Spatial dimensions [x, y, z]

Implementation of ​

INeuroHyperVec.spatialDim

space ​

ts
space: NeuroSpace;

Defined in: src/hypervec/NeuroHyperVec.ts:24

Spatial coordinate system

Implementation of ​

INeuroHyperVec.space

dimensions ​

ts
dimensions: DimensionInfo[];

Defined in: src/hypervec/NeuroHyperVec.ts:25

Information about non-spatial dimensions

Implementation of ​

INeuroHyperVec.dimensions

Accessors ​

ndim ​

Get Signature ​

ts
get ndim(): number;

Defined in: src/hypervec/NeuroHyperVec.ts:60

Total number of dimensions (spatial + non-spatial)

Returns ​

number

Total number of dimensions (spatial + non-spatial)

Implementation of ​

INeuroHyperVec.ndim

shape ​

Get Signature ​

ts
get shape(): number[];

Defined in: src/hypervec/NeuroHyperVec.ts:64

Shape of the full array

Returns ​

number[]

Shape of the full array

Implementation of ​

INeuroHyperVec.shape

size ​

Get Signature ​

ts
get size(): number;

Defined in: src/hypervec/NeuroHyperVec.ts:68

Total number of elements

Returns ​

number

Total number of elements

Implementation of ​

INeuroHyperVec.size

Methods ​

getSubVolume() ​

ts
getSubVolume(indices): 
  | NeuroVol
  | NeuroVec<TypedArray>;

Defined in: src/hypervec/NeuroHyperVec.ts:128

Get a sub-volume by specifying indices for non-spatial dimensions

Parameters ​

indices ​

Record<string, number | number[]>

Map of dimension name to index or slice

Returns ​

| NeuroVol | NeuroVec<TypedArray>

Implementation of ​

INeuroHyperVec.getSubVolume

getVoxelSeries() ​

ts
getVoxelSeries(
   x, 
   y, 
   z, 
   dims?): number[];

Defined in: src/hypervec/NeuroHyperVec.ts:219

Get a time series for a specific voxel across specified dimensions

Parameters ​

x ​

number

X coordinate

y ​

number

Y coordinate

z ​

number

Z coordinate

dims? ​

string[]

Dimensions to extract (default: all non-spatial)

Returns ​

number[]

Implementation of ​

INeuroHyperVec.getVoxelSeries

setSubVolume() ​

ts
setSubVolume(indices, data): void;

Defined in: src/hypervec/NeuroHyperVec.ts:252

Set data for a sub-volume

Parameters ​

indices ​

Record<string, number | number[]>

Indices for non-spatial dimensions

data ​

| NeuroVol | NeuroVec<TypedArray>

Data to set

Returns ​

void

Implementation of ​

INeuroHyperVec.setSubVolume

reduce() ​

ts
reduce(dims, options): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:313

Reduce along specified dimensions

Parameters ​

dims ​

string[]

Dimension names to reduce

options ​

ReductionOptions

Reduction options

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.reduce

mapAlong() ​

ts
mapAlong(dims, fn): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:423

Apply function along specified dimensions

Parameters ​

dims ​

string[]

Dimensions to map over

fn ​

(data) => NeuroVol

Function to apply

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.mapAlong

concat() ​

ts
concat(other, dim): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:450

Concatenate with another hypervec along a dimension

Parameters ​

other ​

INeuroHyperVec

Other hypervec

dim ​

string

Dimension name

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.concat

split() ​

ts
split(dim, indices): INeuroHyperVec[];

Defined in: src/hypervec/NeuroHyperVec.ts:536

Split along a dimension

Parameters ​

dim ​

string

Dimension to split

indices ​

number[]

Indices where to split

Returns ​

INeuroHyperVec[]

Implementation of ​

INeuroHyperVec.split

permute() ​

ts
permute(order): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:603

Permute dimensions

Parameters ​

order ​

string[]

New dimension order by name

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.permute

extractFeatures() ​

ts
extractFeatures(options): object;

Defined in: src/hypervec/NeuroHyperVec.ts:636

Extract features using dimensionality reduction

Parameters ​

options ​

FeatureExtractionOptions

Feature extraction options

Returns ​

object

components ​
ts
components: INeuroHyperVec;
loadings ​
ts
loadings: number[][];
explainedVariance? ​
ts
optional explainedVariance?: number[];

Implementation of ​

INeuroHyperVec.extractFeatures

correlateAlong() ​

ts
correlateAlong(dim1, dim2): number[][];

Defined in: src/hypervec/NeuroHyperVec.ts:646

Compute correlation between different conditions/subjects

Parameters ​

dim1 ​

string

First dimension name

dim2 ​

string

Second dimension name

Returns ​

number[][]

Implementation of ​

INeuroHyperVec.correlateAlong

glm() ​

ts
glm(designMatrix, contrastMatrix): object;

Defined in: src/hypervec/NeuroHyperVec.ts:698

Apply GLM across time or conditions

Parameters ​

designMatrix ​

number[][]

Design matrix

contrastMatrix ​

number[][]

Contrast matrix

Returns ​

object

beta ​
ts
beta: INeuroHyperVec;
tstat ​
ts
tstat: NeuroVol;
pval ​
ts
pval: NeuroVol;

Implementation of ​

INeuroHyperVec.glm

toArray() ​

ts
toArray(): Float32Array;

Defined in: src/hypervec/NeuroHyperVec.ts:707

Convert to dense array (use with caution for large data)

Returns ​

Float32Array

Implementation of ​

INeuroHyperVec.toArray

save() ​

ts
save(filename, format?): Promise<void>;

Defined in: src/hypervec/NeuroHyperVec.ts:711

Save to file

Parameters ​

filename ​

string

Output filename

format? ​

string

Format (hdf5, nifti-5d, custom)

Returns ​

Promise<void>

Implementation of ​

INeuroHyperVec.save

view() ​

ts
view(spec): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:716

Create a view with reordered/subsetted dimensions

Parameters ​

spec ​

Record<string, number | number[] | "all">

Specification for the view

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.view

clone() ​

ts
clone(): INeuroHyperVec;

Defined in: src/hypervec/NeuroHyperVec.ts:755

Clone the hypervec

Returns ​

INeuroHyperVec

Implementation of ​

INeuroHyperVec.clone

dispose() ​

ts
dispose(): void;

Defined in: src/hypervec/NeuroHyperVec.ts:763

Dispose of resources

Returns ​

void

Implementation of ​

INeuroHyperVec.dispose

Released under the MIT License.

Copyright © 2024–present Bradley Buchsbaum