Automatic and customizable pipeline for creating a CNN + light GBM model to predict whiskers contacting objects

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jacheung from gravatar.com jacheung Avatar for Phillip_Maire from gravatar.com Phillip_Maire

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phillip Maire
  • Requires: Python >=3.6
Classifiers
Report project as malware

Project description


WhACC is a tool for automated touched image classification.

Many neuroscience labs (e.g. Hires Lab) use tasks that involve whisker active touch against thin movable poles to study diverse questions of sensory and motor coding. Since neurons operate at temporal resolutions of milliseconds, determining precise whisker contact periods is essential. Yet, accurately classifying the precise moment of touch is time-consuming and labor intensive.

Walkthrough: Google CoLab


Single example trial lasting 4 seconds. Example video (left) along with whisker traces, decomposed components, and spikes recorded from L5 (right). How do we identify the precise millisecond frame when touch occurs?

Flow diagram of WhACC video pre-processing and design implementation

![](./pictures/WhACC figure 1.png)

Touch frame scoring and variation in human curation

![](./pictures/WhACC figure 2.png)

Feature engineering and selection

![](./pictures/WhACC figure 3.png)

Data selection and model performance

![](./pictures/WhACC figure 4.png)

WhACC shows expert human level performance

![](./pictures/WhACC figure 5.png)

Code contributors:

WhACC code and software was originally developed by Phillip Maire and Jonathan Cheung in the laboratory of Samuel Andrew Hires.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jacheung from gravatar.com jacheung Avatar for Phillip_Maire from gravatar.com Phillip_Maire

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phillip Maire
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

1.4.3

1.3.31

1.3.30

1.3.29

1.3.28

1.3.27

1.3.26

1.3.25

1.3.24

1.3.23

1.3.22

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

This version

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.1

1.1.74

1.1.73

1.1.72

1.1.70

1.1.67

1.1.66

1.1.65

1.1.62

1.1.56

1.1.52

1.1.51

1.1.50

1.1.47

1.1.41

1.1.40

1.1.38

1.1.36

1.1.35

1.1.34

1.1.33

1.1.31

1.1.30

1.1.29

1.1.28

1.1.27

1.1.26

1.1.25

1.1.24

1.1.23

0.1.37

0.1.33

0.1.32

0.1.31

0.1.30

0.1.29

0.1.28

0.1.27

0.1.25

0.1.24

0.1.23

0.1.22

0.1.21

0.1.20

0.1.19

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.0.117

0.0.116

0.0.115

0.0.114

0.0.113

0.0.112

0.0.111

0.0.110

0.0.109

0.0.108

0.0.107

0.0.106

0.0.105

0.0.104

0.0.103

0.0.102

0.0.101

0.0.100

0.0.99

0.0.98

0.0.97

0.0.96

0.0.95

0.0.94

0.0.93

0.0.92

0.0.91

0.0.90

0.0.89

0.0.88

0.0.87

0.0.86

0.0.85

0.0.84

0.0.83

0.0.82

0.0.81

0.0.80

0.0.79

0.0.78

0.0.77

0.0.75

0.0.74

0.0.73

0.0.72

0.0.71

0.0.70

0.0.69

0.0.68

0.0.67

0.0.66

0.0.65

0.0.64

0.0.63

0.0.62

0.0.61

0.0.60

0.0.59

0.0.58

0.0.57

0.0.56

0.0.55

0.0.54

0.0.53

0.0.51

0.0.50

0.0.49

0.0.48

0.0.47

0.0.40

0.0.36

0.0.35

0.0.34

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.13

0.0.12

0.0.11

0.0.10

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

whacc-1.3.8.tar.gz (3.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

whacc-1.3.8-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file whacc-1.3.8.tar.gz.

File metadata

  • Download URL: whacc-1.3.8.tar.gz
  • Upload date:
  • Size: 3.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.10

File hashes

Hashes for whacc-1.3.8.tar.gz
Algorithm Hash digest
SHA256 27bb671e93e00478e93c04410aad04e44a59071ae9dee030d80aedf45dd2a425
MD5 f077cb310be9270a39478b2a00743db0
BLAKE2b-256 e6be07288ad23d4a691d86af2a033624820038b355c92167ef7f9b8f6d6981d2

See more details on using hashes here.

File details

Details for the file whacc-1.3.8-py3-none-any.whl.

File metadata

  • Download URL: whacc-1.3.8-py3-none-any.whl
  • Upload date:
  • Size: 3.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.10

File hashes

Hashes for whacc-1.3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 47773b4e698d37db895491cce2573353d23325a0280d1dd1e901db59d392c0e8
MD5 36b3b3ac1a3ec92508f72d7fdfecc4cf
BLAKE2b-256 9fea62d95186b759e71fc9af5958f9f455c53550054662e629052f6d542de387

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page