NeuroPAL_ID Neurons

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Image Neurons Object

class Neurons.Image

Image A list of neurons in a certain body part Detailed explanation goes here

Constructor Summary

Image(superpixels, varargin)

Image Construct an instance of this class. superpixel: Matlab struct superpixels with variables mean, cov, color, basline, and potentially ids, rank, probabilistic ids, probabilistic probs, … . bodypart: A string that represents which body part the current instance of this class corresponds to, examples are ‘head’ and ‘tail’. scale: image scale (x,y,z). meta_data: meta data

Property Summary

atlas_version

the atlas version used to ID the neurons

bodypart

a string consisting the name of the worm’s body part - DEPRECATED,PLEASE USE “worm” INSTEAD!!!

meta_data

key, value pairs for intermediate analysis

neurons

a list of the instances of Neuron class -> see Neuron.m

scale

(x,y,z) scale

Method Summary

add_deterministic_ids(deterministic_ids)

ADD_DETERMINISTIC_IDS setter of neuron deterministic_ids.

add_meta_data(key, value)

ADD_META_DATA adding a (key,value) pair in the meta_data data structure for intermediate analysis, examples are LL (log likelihood) etc.

add_neuron(volume, position, nsz, scale)

ADD_NEURON Add a neuron to the list of neurons. by running one iteration of Matching Pursuit. volume: the full z-scored image. position: the location in the neighbourhood of which the neuron should be added. nsz: the window size around the patch for the new neuron. trunc: the truncation value of the Gaussian function used for fitting.

add_probabilistic_ids(probabilistic_ids)

ADD_PROBABILISTIC_IDS setter of neuron probabilistic_ids.

add_probabilistic_probs(probabilistic_probs)

ADD_PROBABILISTIC_PROBS setter of neuron probabilistic_probs.

add_ranks(ranks)

ADD_RANKS setter of neuron ranks.

del_neuron(neuron_i)

DEL_NEURON Delete a neuron from the list of neurons.

delete_annotations()

DELETE_ANNOTATIONS delete all user IDs.

delete_model_IDs()

DELETE_MODEL_IDS delete all the model-predicted IDs.

find_rank(rank_num)

FIND_RANK find the neuron with given rank.

find_user_id_neuron(name)

FIND_USER_ID find a neuron by user ID name Note: since this method only returns one neuron, it ignores artifacts, mutations, and emphasized neurons as these can exist as duplicates. Please use find_user_id_neurons to search for multiple neurons.

find_user_id_neurons(name, varargin)

FIND_USER_ID find multiple neurons by user ID name Inputs:

name = the name of the neuron to find [is_emphasized] = find emphasized neurons too?

default: false

flipLR_annotations()

FLIPLR_ANNOTATIONS flip the L/R annotation for all user IDs.

getOutliers(p)

index_neurons indexes the neurons that are outliers at the significance level p. tests containts the results of all individual tests performed, for each of the outliers test(i).global is the p-value of the global test (using color + position), based on chi^2 with 6 df for the i-th outlier. test(i).position_test and tests(i).color_test contain position and color specific tests.

tests(i).position_test.global and tests(i).color_test.global are global tests based on chi^2 with 3 df.

tests(i).position_test.individual and tests(i).color_test.individual contain the 3 tests (each) forevery position and color coordinates, each based on a chi^2 with one degree of freedom.

get_3d_segments(sz, nsz)

GET_3D_SEGMENTS getter of neuron 3d segmentations. sz: size of the full reconstructed image, which is the same size of the original image used for fitting. nsz: size of a neuron used for reconstruction. trunc: Gaussian truncation value used for reconstruction. image: full reconstruction of image using truncated Gaussian functions and stitching them together.

get_3d_shape(sz, nsz)

GET_3D_SHAPE getter of neuron 3d reconstructions. sz: size of the full reconstructed image, which is the same size of the original image used for fitting. nsz: size of a neuron used for reconstruction. trunc: Gaussian truncation value used for reconstruction. image: full reconstruction of image using truncated Gaussian functions and stitching them together.

get_aligned_xyzRGBs()

GET_ALIGNED_XYZRGBS getter of aligned neuron positions + colors. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_annotation_confidences()

GET_ANNOTATION_CONFIDENCES getter of neuron annotation_confidences.

get_annotations()

GET_ANNOTATIONS getter of neuron annotations. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_baselines()

GET_BASELINES getter of neuron baselines. *** NOTE: THIS FUNCTION MAY RETURN NANS!!!

get_colors()

GET_COLORS getter of neuron colors. *** NOTE: THIS FUNCTION MAY RETURN NANS!!!

get_colors_readout()

GET_COLORS_READOUT getter of neuron color readouts.

get_covariances()

GET_COVARIANCES getter of neuron covariances. *** NOTE: THIS FUNCTION MAY RETURN NANS!!!

get_deterministic_ids()

GET_DETERMINISTIC_IDS getter of neuron deterministic_ids. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_is_annotations_on()

GET_IS_ANNOTATIONS_ON getter of neuron is_annotation_ons.

get_is_emphasized()

GET_IS_EMPHASIZED getter of neuron is_emphasized.

get_line_sizes()

GET_LINE_COLORS getter of neuron line_sizes.

get_marker_colors()

GET_MARKER_COLORS getter of neuron marker_colors.

get_marker_sizes()

GET_MARKER_SIZES getter of neuron marker_sizes.

get_meta_data(key)

GET_META_DATA returns the value paired with key.

get_positions()

GET_POSITIONS getter of neuron positions.

get_probabilistic_ids()

GET_PROBABILISTIC_IDS getter of neuron probabilistic_ids. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_probabilistic_probs()

GET_PROBABILISTIC_PROBS getter of neuron probabilistic_probs. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_ranks()

GET_RANKS getter of neuron ranks. *** NOTE: THIS FUNCTION MAY RETURN < NUM(NEURONS)!!!

get_truncations()

GET_TRUNCATIONS getter of neuron truncations. *** NOTE: THIS FUNCTION MAY RETURN NANS!!!

is_all_annotated()

IS_ALL_ANNOTATED do all neurons have user annotations?

is_any_annotated()

IS_ANY_ANNOTATED do any of the neurons have user annotations?

is_any_auto_ID()

IS_ANY_ANNOTATED do any of the neurons have user annotations?

mirror_image_Z(mirror_image)

MIRROR_IMAGE_Z Mirror an image around the z-axis image: the image to mirror rot_image: the image mirrored around the z-axis

mirror_neurons_Z(mirror_image)

MIRROR_NEURONS_Z Mirror the neurons around the z-axis image: the image to mirror

nearest_unannotated(neuron_i)

NEAREST_UNANNOTATED find the nearest unannoted neuron

nearest_unannotated_z(neuron_i)

NEAREST_UNANNOTATED_Z find the nearest unannoted neuron in z

num_auto_id_neurons()

NUM_AUTO_ID_NEURONS the number of auto ID’d neurons in the image

num_neurons()

NUM_NEURONS the number of neurons in the image

num_user_id_neurons()

NUM_USER_ID_NEURONS the number of user ID’d neurons in the image

num_user_unid_neurons()

NUM_USER_UNID_NEURONS the number of user unID’d neurons in the image

rank_neuron_max(neuron_i)

RANK_NEURON_MAX Give a neuron the maximum rank.

rotate(image, rot)

ROT_IMAGE Rotates the image using parameters specified in rot image: the full image that needs to be rotated rot: a 4x4 rotation matrix or a 1x3 vector consisting rotation angles. The rotation will be applied to the full image and the neurons one by one. rot_image: the rotated image

rotate_X_180(rot_image)

ROTATE_X_180 Rotate everything 180 degrees around the x-axis image: the image to rotate rot_image: the image rotated 180 degrees around the x-axis

rotate_Y_180(rot_image)

ROTATE_Y_180 Rotate everything image 180 degrees around the y-axis image: the image to rotate rot_image: the image rotated 180 degrees around the y-axis

rotate_Z_270(rot_image, scale)

ROTATE_Z_270 Rotate everything 270 degrees around the z-axis image: the image to rotate rot_image: the image rotated 270 degrees around the z-axis scale: the image’s microns/pixels scale

rotate_Z_90(rot_image, scale)

ROTATE_Z_90 Rotate everything 90 degrees around the z-axis image: the image to rotate rot_image: the image rotated 90 degrees around the z-axis scale: the image’s microns/pixels scale

rotate_image_X_180(rot_image)

ROTATE_IMAGE_X_180 Rotate an image 180 degrees around the x-axis image: the image to rotate rot_image: the image rotated 180 degrees around the x-axis

rotate_image_Y_180(rot_image)

ROTATE_IMAGE_Y_180 Rotate an image 180 degrees around the y-axis image: the image to rotate rot_image: the image rotated 180 degrees around the y-axis

rotate_image_Z_270(rot_image, scale)

ROTATE_IMAGE_Z_270 Rotate an image 270 degrees around the z-axis image: the image to rotate rot_image: the image rotated 270 degrees around the z-axis scale: the image’s microns/pixels scale

rotate_image_Z_90(rot_image, scale)

ROTATE_IMAGE_Z_90 Rotate an image 90 degrees around the z-axis image: the image to rotate rot_image: the image rotated 90 degrees around the z-axis scale: the image’s microns/pixels scale

rotate_neurons_X_180(rot_image)

ROTATE_NEURONS_X_180 Rotate the neurons 180 degrees around the x-axis image: the image to rotate

rotate_neurons_Y_180(rot_image)

ROTATE_NEURONS_Y_180 Rotate the neurons 180 degrees around the y-axis image: the image to rotate

rotate_neurons_Z_270(rot_image)

ROTATE_NEURONS_Z_270 Rotate the neurons 270 degrees around the z-axis image: the image to rotate

rotate_neurons_Z_90(rot_image)

ROTATE_NEURONS_Z_90 Rotate the neurons 90 degrees around the z-axis image: the image to rotate

to_superpixel()

TO_SUPERPIXEL coverts the neurons to a superpixel data structure for data loading and storing and for interfacing with different softwares and programming languages.

*** LEGACY FUNCTION. DEPRECATED, DON’T USE THIS!!!

unrank_neuron(neuron_i)

UNRANK_NEURON Remove the neuron’s rank.

update_colors(data, old_RGBW, new_RGBW)

UPDATE_COLORS update the neuron colors.

user_id_neuron_names()

USER_ID_NEURON_NAMES get a list of the user ID neuron names

user_id_neurons()

USER_ID_NEURONS get a list of the user ID neurons

Neuron Object

class Neurons.Neuron

NEURON A neuron.

A neuron has a position within an image, color, list of potential IDs, probabilities associated with these IDs, and methods to draw it within a GUI.

Property Summary

aligned_xyzRGB

the neuron’s position & color, aligned to the global model

annotation

User neuron ID.

annotation_confidence

user confidence about annotation

baseline

baseline noise values (R,G,B,W), W = white channel, values=[-1,1]

color

neuron color based on fitting (R,G,B,W), W = white channel, values=[0-255]

color_readout

neuron color based on readout from the image

covariance

3x3 covariance matrix that’s fit to the neuron

deterministic_id

Auto neuron ID.

is_annotation_on

is the neuron’s annotation ON, OFF, or neither (empty)

is_emphasized

user emphasis (e.g., for mutations)

is_selected

GUI properties.

outlier

whenever alignment information is available annotated neurons will be flagged as potential outliers

position

Neuron position & color.

probabilistic_ids

neuron IDs listed by descending probability

probabilistic_probs

neuron ID probabilities

rank

ranks of the neuron based on the confidence assigned by sinkhorn algorithm

truncation

Gaussian truncation value that defines the sharpness of the edge of neuron

Method Summary

addToBrain(b)

ADDTOBRAIN Add this neuron to a brain image.

annotate(name, confidence, is_on, atlas, varargin)

ANNOTATE annotate the neuron. name: the neuron name confidence: the user confidence is_on: is the neuron’s annotation ON or OFF? atlas: the statistical atlas of neuron properties [is_emphasized]: did the user emphasize this neuron?

delete_annotation()

DELETE_ANNOTATION delete the user ID.

delete_model_ID()

DELETE_MODEL_ID delete the model-predicted ID.

get_3d_reconstruction(nsz)

GET_3D_RECONSTRUCTION reconstructs the 3D colored shape of the current neuron according to its properties.

nsz: size of the reconstructed image trunc: truncation value used for reconstruction. recon: (X,Y,Z,C) 4D double array.

get_marker_color()

GET_MARKER_COLORS specifies the marker color of the current neuron according to the annotation confidence.

get_marker_size()

GET_MARKER_SIZE specifies the marker size of the current neuron according to whether it is selected in the software or not.

remove()

REMOVE Remove this neuron.

rotate(rot, sz, newsz)

ROTATE rotates the neuron and translates it according to new image space.

rot: a 4x4 rotation matrix or a 1x3 vector consisting rotation angles. sz: size of the image before rotation used to translate before rotation. newsz: size of the image after rotation used to translate after rotation.

static unmarshall(sp, i)

UNMARSHALL Construct the neuron by unmarshalling it. *** LEGACY FUNCTION. DEPRECATED!!!

Hermaphrodite Neurons

class Neurons.Hermaphrodite

HERMAPHRODITE Hermaphrodite related data.

Property Summary

asym_deterministic_LR_neurons

Asymmetrically deterministic neurons.

asym_stochastic_LR_neurons

Asymmetrically stochastic neurons.

non_LR_neurons

Non-left/right neurons.

non_neuronal_cells

Non-neuronal cells.

sym_2_fold_DV_neurons

2-fold symmetric neurons.

sym_4_fold_DV_neurons

4-fold symmetric neurons. Note: the SIBs & SMDs are excluded because their coloring is not always symmetric for the dorsal and ventral cells.

sym_6_fold_DV_neurons

6-fold symmetric neurons.

Method Summary

static flipLR(name)

FLIPLR Flip the L/R info in the neuron’s name.

static getAnteriorMidbody()

GETANTERIORMIDBODY A list of anterior midbody neurons.

static getAnteriorPharynx()

GETANTERIORPHARYNX A list of anterior pharynx neurons.

static getCentralMidbody()

GETCENTRALRMIDBODY A list of central midbody neurons.

static getClasses()

GETCLASSES Get a list of neuron classes.

static getColors()

GETCOLORS Get a list of NeuroPAL neuron colors. names = neuron names colors = corresponding (R,G,B) color vector

static getDorsalGanglion()

GETDORSALGANGLION A list of dorsal ganglion neurons.

static getDorsoRectalGanglion()

GETDORSORECTALGANGLION A list of dorso-rectal ganglion neurons.

static getGanglia()

GETGANGLIA Get a list of ganglia info. A stuct array where: name = ganglion name neurons = ganglion neurons

static getGanglionNames()

GETGANGLIONNAMES Get a list of ganglion names.

static getLeftAnteriorGanglion()

GETLEFTANTERIORGANGLION A list of left anterior ganglion neurons.

static getLeftLateralGanglion()

GETLEFTLATERALGANGLION A list of left lateral ganglion neurons.

static getLeftLumbarGanglion()

GETLEFTLUMBARGANGLION A list of left lumbar ganglion neurons.

static getNeuroPALColorClass(name)

GETNEUROPALCOLORCLASS Get the NeuroPAL-limited color class for the neuron. Most left/right and dorsal/ventral neurons share equivalent NeuroPAL colors and thus have the same color class.

static getNeuroPALName(neuron)

GETNEUROPALNAME Get the NeuroPAL-limited name for the neuron. Left/right neurons, within the same ganglia, cannot be distinguished. Therefore,they have a degenerate neuron name. For example, RIGL & RIGR have a NeuroPAL-limited ID of RIG.

static getNeuronClass(neuron)

GETNEURONCLASS Get the class for this neuron.

static getNeuronColor(name)

GETNEURONCOLOR Get the neuron’s NeuroPAL RGB color.

static getNeurons()

GETNEURONS Get a list of neurons.

static getNeuronsOrderedByGanglia()

GETNEURONSORDEREDBYGANGLIA Get a list of neurons ordered by ganglia combining left & right ganglia.

static getNeuronsOrderedByGangliaLR()

GETNEURONSORDEREDBYGANGLIALR Get a list of neurons ordered by ganglia separating left & right ganglia.

static getPosteriorMidbody()

GETPOSTERIORMIDBODY A list of posterior midbody neurons.

static getPosteriorPharynx()

GETPOSTERIORPHARYNX A list of posterior pharynx neurons.

static getPreAnalGanglion()

GETPREANALGANGLION A list of pre-anal ganglion neurons.

static getRetroVesicularGanglion()

GETRETROVESICULARGANGLION A list of retro-vesicular ganglion neurons.

static getRightAnteriorGanglion()

GETRIGHTANTERIORGANGLION A list of right anterior ganglion neurons.

static getRightLateralGanglion()

GETRIGHTLATERALGANGLION A list of right lateral ganglion neurons.

static getRightLumbarGanglion()

GETRIGHTLUMBARGANGLION A list of right lumbar ganglion neurons.

static getVentralGanglion()

GETVENTRALGANGLION A list of ventral ganglion neurons.

static getVentralNerveCord()

GETVENTRALNERVECORD A list of ventral nerve cord neurons.

static isAWC(name)

ISAWC Is this neuron’s name an acceptable form of AWC?

static isCell(name)

ISCELL Is this a cell name?

static isNeuron(name)

ISNEURON Is this a neuron name?

static neuronStartsWith(str)

NEURONSTARTSWITH Which neurons start with this string?

static numAnteriorMidbodyNeurons()

NUMANTERIORMIDBODYNEURONS Get the number of anterior midbody neurons.

static numCentralMidbodyNeurons()

NUMCENTRALMIDBODYNEURONS Get the number of central midbody neurons.

static numHeadNeurons()

NUMHEADNEURONS Get the number of head neurons.

static numMidbodyNeurons()

NUMMIDBODYNEURONS Get the number of midbody neurons.

static numNeurons(body)

NUMNEURONS Get the number of neurons for this body part.

static numPosteriorMidbodyNeurons()

NUMPOSTERIORMIDBODYNEURONS Get the number of posterior midbody neurons.

static numTailNeurons()

NUMTAILNEURONS Get the number of tail neurons.

static stripLR(name)

STRIPLR Strip the L/R info from the neuron’s name.

static stripOnOff(name)

STRIPONOFF Strip the ON/OFF info from the neuron’s name.

Male Neurons

class Neurons.Male

MALE Male related data.

Property Summary

asym_deterministic_LR_neurons

Asymmetrically deterministic neurons.

asym_stochastic_LR_neurons

Asymmetrically stochastic neurons.

non_LR_neurons

Non-left/right neurons.

non_neuronal_cells

Non-neuronal cells.

sym_2_fold_DV_neurons

2-fold symmetric neurons.

sym_4_fold_DV_neurons

4-fold symmetric neurons. Note: the SIBs & SMDs are excluded because their coloring is not always symmetric for the dorsal and ventral cells.

sym_6_fold_DV_neurons

6-fold symmetric neurons.

variable_neurons

Variable neurons.

Method Summary

static flipLR(name)

FLIPLR Flip the L/R info in the neuron’s name.

static getAnteriorMidbody()

GETANTERIORMIDBODY A list of anterior midbody neurons.

static getAnteriorPharynx()

GETANTERIORPHARYNX A list of anterior pharynx neurons.

static getCentralMidbody()

GETCENTRALRMIDBODY A list of central midbody neurons.

static getClasses()

GETCLASSES Get a list of neuron classes.

static getColors()

GETCOLORS Get a list of NeuroPAL neuron colors. names = neuron names colors = corresponding (R,G,B) color vector

static getDorsalGanglion()

GETDORSALGANGLION A list of dorsal ganglion neurons.

static getDorsoRectalGanglion()

GETDORSORECTALGANGLION A list of dorso-rectal ganglion neurons.

static getGanglia()

GETGANGLIA Get a list of ganglia info. A stuct array where: name = ganglion name neurons = ganglion neurons

static getGanglionNames()

GETGANGLIONNAMES Get a list of ganglion names.

static getLeftAnteriorGanglion()

GETLEFTANTERIORGANGLION A list of left anterior ganglion neurons.

static getLeftCloacalGanglion()

GETLEFTCLOACALGANGLION A list of left cloacal ganglion neurons.

static getLeftLateralGanglion()

GETLEFTLATERALGANGLION A list of left lateral ganglion neurons.

static getLeftLumbarGanglion()

GETLEFTLUMBARGANGLION A list of left lumbar ganglion neurons.

static getLeftPreAnalGanglion()

GETLEFTPREANALGANGLION A list of left pre-anal ganglion neurons.

static getLeftRays()

GETLEFTRAYS A list of left ray neurons.

static getNeuroPALColorClass(name)

GETNEUROPALCOLORCLASS Get the NeuroPAL-limited color class for the neuron. Most left/right and dorsal/ventral neurons share equivalent NeuroPAL colors and thus have the same color class.

static getNeuroPALName(neuron)

GETNEUROPALNAME Get the NeuroPAL-limited name for the neuron. Left/right neurons, within the same ganglia, cannot be distinguished. Therefore,they have a degenerate neuron name. For example, RIGL & RIGR have a NeuroPAL-limited ID of RIG.

static getNeuronClass(neuron)

GETNEURONCLASS Get the class for this neuron.

static getNeuronColor(name)

GETNEURONCOLOR Get the neuron’s NeuroPAL RGB color.

static getNeurons()

GETNEURONS Get a list of neurons.

static getNeuronsOrderedByGanglia()

GETNEURONSORDEREDBYGANGLIA Get a list of neurons ordered by ganglia combining left & right ganglia.

static getNeuronsOrderedByGangliaLR()

GETNEURONSORDEREDBYGANGLIALR Get a list of neurons ordered by ganglia separating left & right ganglia.

static getPosteriorMidbody()

GETPOSTERIORMIDBODY A list of posterior midbody neurons.

static getPosteriorPharynx()

GETPOSTERIORPHARYNX A list of posterior pharynx neurons.

static getRetroVesicularGanglion()

GETRETROVESICULARGANGLION A list of retro-vesicular ganglion neurons.

static getRightAnteriorGanglion()

GETRIGHTANTERIORGANGLION A list of right anterior ganglion neurons.

static getRightCloacalGanglion()

GETRIGHTCLOACALGANGLION A list of right cloacal ganglion neurons.

static getRightLateralGanglion()

GETRIGHTLATERALGANGLION A list of right lateral ganglion neurons.

static getRightLumbarGanglion()

GETRIGHTLUMBARGANGLION A list of right lumbar ganglion neurons.

static getRightPreAnalGanglion()

GETRIGHTPREANALGANGLION A list of right pre-anal ganglion neurons.

static getRightRays()

GETRIGHTRAYS A list of right ray neurons.

static getVariableNeurons()

GETVARIABLENEURONS Get a list of variable neurons.

static getVentralGanglion()

GETVENTRALGANGLION A list of ventral ganglion neurons.

static getVentralNerveCord()

GETVENTRALNERVECORD A list of ventral nerve cord neurons.

static isAWC(name)

ISAWC Is this neuron’s name an acceptable form of AWC?

static isCell(name)

ISCELL Is this a cell name?

static isNeuron(name)

ISNEURON Is this a neuron name?

static neuronStartsWith(str)

NEURONSTARTSWITH Which neurons start with this string?

static numAnteriorMidbodyNeurons()

NUMANTERIORMIDBODYNEURONS Get the number of anterior midbody neurons.

static numCentralMidbodyNeurons()

NUMCENTRALMIDBODYNEURONS Get the number of central midbody neurons.

static numHeadNeurons()

NUMHEADNEURONS Get the number of head neurons.

static numMidbodyNeurons()

NUMMIDBODYNEURONS Get the number of midbody neurons.

static numNeurons(body)

NUMNEURONS Get the number of neurons for this body part.

static numPosteriorMidbodyNeurons()

NUMPOSTERIORMIDBODYNEURONS Get the number of posterior midbody neurons.

static numTailNeurons()

NUMTAILNEURONS Get the number of tail neurons.

static stripLR(name)

STRIPLR Strip the L/R info from the neuron’s name.

static stripOnOff(name)

STRIPONOFF Strip the ON/OFF info from the neuron’s name.

Neuron Birth Information

class Neurons.NeuronBirth

Property Summary

late_herm_neuron_stages

late_herm_neuron_times

late_herm_neurons

Hermaphrodite neurons that differentiate long after they are born.

Method Summary

static getHermaphroditeBirthText()

GETHERMAPHRODITEBIRTHTEXT Get a list of hermaphrodite neuron birth times as a text string.

Output:

neurons = neuron names stages = birth time text neuron_stages = neuron name and birth time text

static getHermaphroditeBirthTimes()

GETHERMAPHRODITEBIRTHTIMES Get a list of hermaphrodite neuron birth times.

Output:

names = neuron names minutes = neuron birth times in minutes stages = larval stage times = stage-specific birth time

static getHermaphroditeStages(neurons, minutes)

GETHERMAPHRODITESTAGES Get a list of hermaphrodite neuron birth stages and stage-specific times.

Input:

names = neuron names minutes = neuron birth times in minutes

Output:

stages = larval stage times = stage-specific birth time

static getMaleBirthText()

GETMALEBIRTHTEXT Get a list of male neuron birth times as a text string.

Output:

neurons = neuron names stages = birth time text neuron_stages = neuron name and birth time text

static getMaleBirthTimes()

GETMALEBIRTHTIMES Get a list of male neuron birth times.

Output:

names = neuron names minutes = neuron birth times in minutes stages = larval stage times = stage-specific birth time

See Also

• Neuron GUI