Comments (2)
mlech26l
commented on September 27, 2024
This is such that there is a 66% (2/3) chance of having an excitatory synapse and a 33% (1/3) chance of having an inhibitory synapse. Arguably, we want more excitatory synapses in the initialized network because a majority of inhibitory synapses can potentially collapse the dynamics of the network (i.e., forcing everything to zero).
from ncps.
rouniuyizu
commented on September 27, 2024
I see. Thank you,
This is such that there is a 66% (2/3) chance of having an excitatory synapse and a 33% (1/3) chance of having an inhibitory synapse. Arguably, we want more excitatory synapses in the initialized network because a majority of inhibitory synapses can potentially collapse the dynamics of the network (i.e., forcing everything to zero).
from ncps.
Related Issues (20)
- Reproducibility issue: low rewards in Atari examples HOT 4
- TypeError: SequenceLearner.optimizer_step() missing 1 required positional argument: 'closure' HOT 1
- Example of stacking LTC with convolutional layers on pytorch version HOT 2
- Inquiry on LTC Models for Financial Time-Series Prediction HOT 2
- Issues on recurrent connections in command layer for CfC
- getting issues while saving model HOT 2
- Input dimension HOT 1
- LtC and CfC implementation questions
- Pytorch model behaves differently after saving HOT 1
- How to define Output Dimension in NCP/LTC network?
- Example for image sequence classifier HOT 3
- Defining equal input and output shapes for LTC HOT 1
- Python gives anRuntime error when I try to send hidden state (hx) to the CfC model. HOT 2
- way to get 200G dataset
- What dependency versions? HOT 4
- module 'tensorflow.keras.layers' has no attribute 'AbstractRNNCell' HOT 3
- Error when using AutoNCP
- "Neural Circuit Policing to Enable Auditable Autonomy" Implementation Resource Request Please
- Clarification on Sensory and Motor Neurons in LTC Layers
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ncps.