Skip to content
Snippets Groups Projects
Commit 19bc50c2 authored by POLITO Guillermo Andres's avatar POLITO Guillermo Andres
Browse files

fixed changes log organization

parent 62052546
No related branches found
No related tags found
No related merge requests found
...@@ -8,17 +8,19 @@ Infrastructure: ...@@ -8,17 +8,19 @@ Infrastructure:
- Supporting the system's distribution: - Supporting the system's distribution:
- Clustering support - Clustering support
- Refactoring to support the dynamic deployment of actors in different cluster nodes. - Refactoring to support the dynamic deployment of actors in different cluster nodes.
- Two deployment strategies were implemented so far: Random and concrete actor. - Two deployment strategies were implemented so far: Random and concrete node.
- Fixes in the core to make it distributable. E.g, fixed serialization of messages, global state. - Fixes in the core to make it distributable. E.g, fixed serialization of messages, global state.
- The Continuous Integration service was extended and enhanced [4] - The Continuous Integration service was extended and enhanced [4]
- A new input mechanism was implemented [5, 6] - A new input mechanism was implemented [5, 6]
Core: Core:
- Preliminar version of supervised learning algorithm SpikeProp
- Preliminar version of Supervised Xor, an example of learning the Xor function with SpikeProp (Error-backpropagation in temporally encoded networks of spiking neurons)
- Added bio-inspired model i.e., a model with parameters similar to those in the nature. - Added bio-inspired model i.e., a model with parameters similar to those in the nature.
- Added supervised learning algorithm SpikeProp
Examples:
- Examples of Mnist/Freeway/sevenSegment with the bio-inspired model. - Examples of Mnist/Freeway/sevenSegment with the bio-inspired model.
- Example of Masquelier's experiment: Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains - Example of Masquelier's experiment: Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
- Added Supervised Xor, an example of learning the Xor function with SpikeProp (Error-backpropagation in temporally encoded networks of spiking neurons)
- Preliminar version of an example of direction detection with reservoir computing (using supervised STDP and only 2 directions) - Preliminar version of an example of direction detection with reservoir computing (using supervised STDP and only 2 directions)
Documentation: Documentation:
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment