You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: projects/behavior_and_theory/README.md
+7-7Lines changed: 7 additions & 7 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -14,7 +14,7 @@ Credit for data curation: Ann Kennedy
14
14
15
15
|| Run | View |
16
16
| - | --- | ---- |
17
-
| Loader notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/Loading_CalMS21_data.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/Loading_CalMS21_data.ipynb?flush_cache=true)|
17
+
| Loader notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/Loading_CalMS21_data.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/Loading_CalMS21_data.ipynb?flush_cache=true)|
18
18
19
19
## IBL
20
20
@@ -25,7 +25,7 @@ Credit for data curation: Eric DeWitt and the IBL team
| Loader notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/IBL_behavior_data.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/IBL_behavior_data.ipynb?flush_cache=true)|
28
+
| Loader notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/IBL_behavior_data.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/IBL_behavior_data.ipynb?flush_cache=true)|
29
29
30
30
31
31
## Laquitaine & Gardner, Neuron, 2017
@@ -34,23 +34,23 @@ The Laquitaine & Gardner dataset contains behavioral data collected in a motion
34
34
35
35
|| Run | View |
36
36
| - | --- | ---- |
37
-
| Loader & Exploration notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_human_errors.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_human_errors.ipynb)|
38
-
| Additional analyses |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_motion_prior_learning.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior/laquitaine_motion_prior_learning.ipynb)|
37
+
| Loader & Exploration notebook |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/laquitaine_human_errors.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/laquitaine_human_errors.ipynb)|
38
+
| Additional analyses |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/laquitaine_motion_prior_learning.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/laquitaine_motion_prior_learning.ipynb)|
39
39
40
40
41
41
## Working memory
42
42
43
43
|| Run | View |
44
44
| - | --- | ---- |
45
-
| Working memory |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/theory/RNN_working_memory.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/theory/RNN_working_memory.ipynb?flush_cache=true)|
45
+
| Working memory |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/RNN_working_memory.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/RNN_working_memory.ipynb?flush_cache=true)|
46
46
47
47
## Motor RNN
48
48
49
49
We built on [Feulner & Clopath, Plos Computational Biology, 2021](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008621) to propose this project. Here we explore how RNN representation dynamics is linked with connectivity structure and task complexity.
50
50
51
51
|| Run | View |
52
52
| - | --- | ---- |
53
-
| Motor RNN |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/theory/motor_RNNs.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/theory/motor_RNNs.ipynb)|
53
+
| Motor RNN |[](https://colab.research.google.com/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/motor_RNNs.ipynb)|[](https://nbviewer.jupyter.org/github/NeuromatchAcademy/course-content/blob/main/projects/behavior_and_theory/motor_RNNs.ipynb)|
54
54
55
55
56
56
## Databases of models
@@ -105,4 +105,4 @@ Click on each image below to see a full browser version!
105
105
106
106
## Linking structure, dynamics and function in recurrent neural networks (RNNs) during motor learning
0 commit comments