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Showing below up to 50 results in range #1 to #50.

1. 2017: Change detection: The DivInE-Model
2. 2017: Computation Spike by Spike
3. 2017: Contour Integration
4. 2017: Natural scenes and sparse coding in visual cortex
5. 2017: Oscillations and information routing: CTC model
6. 2020: Deep Networks and Tensor Flow
7. 2020: Divisive Normalization -- a Universal Concept for Adaptive Dynamics and Function of Cortical Circuits
8. 2020: Recurrent networks: Temporal dynamics and synchronization
9. 2022: Deep Networks and Pytorch
10. 2022: Divisive inhibition: a dynamical circuit for change detection
11. 2022: Preparation -- Python class with and without classes
12. 2022: Synchronization and dynamic oscillations in the visual system
13. AMCE SSL
14. Advanced Indexing
15. Animation and Slider
16. Argh: Organize your command line arguments
17. Assert
18. Austin: Time and memory profiling
19. Available dtypes
20. Basic Commands and Variables
21. Basic Math Operations
22. Basic Structure of a Computer
23. Basics
24. Basics with Python / Matlab
25. Beyond normal np.save
26. Boolean matricies and logic functions
27. Broadcasting: Automatic adaption of dimensions​
28. Built-in Functions
29. Built-in Keywords
30. Check if the port for torchrun is open via ncat
31. Class
32. Collection of distinct hashable objects -- set and frozenset
33. Computer admin tutorials
34. Concatenate Matrices and arrays
35. Config VS Code (Insiders)
36. Connor Stevens
37. Constants
38. Convert other data into numpy arrays e.g. asarray
39. Converting the original MNIST files into numpy
40. Creating networks
41. Creating order via sub-directories: os.makedirs
42. Data augmentation
43. Dataclass
44. Datasets
45. Dealing with Matlab files
46. Dealing with the main diagonal / triangles of a matrix
47. Dict​
48. Differential Equations
49. Dimensions and shape
50. DivInE-model for MT neurons