Logic Mind Tree vs Neuro Sandbox

[Logic Mind Tree] is an app that lets you quickly build your mind. When you have an idea, [Logic Mind Tree] helps you focus on its architecture and combing, combining logic and creativity to make your thinking clearly visible. It can be applied to notes, learning, design, teaching, etc., and enjoy logical thinking design. The specific functions are as follows: Support for exporting large pictures. Support single node icon size setting, single node font setting, support undo, redo, etc. Support group node and item node, support zoom operation. Supports convenient copy, paste, and move operations. Supports setting node pictures, links, text colors, notes, etc. Support multiple display methods. Make your thinking clearer. The file is configured in XML format and can be edited by sharing and other XML editors. Support sharing source files or jpg format files. Support file import and opening, etc. The application has offline file storage, which is convenient and reliable. and it also provides a backup function, which can compress and share all files and save them. Suitable for thinking logic training, English learning, outline collation, work summary, genealogy drawing, etc. 1. Add icon and number management 2. Increase border settings 3. Support the independent height and length of each node line 4. Support hidden root node 5. Improve known issues

Neuro Sandbox is an interactive visual sandbox for exploring neural network dynamics. Build small networks by placing neurons, connecting synapses, and observing how activity flows through the system in real time. Neuro Sandbox is designed for students, researchers, and anyone interested in computational neuroscience who wants to see how network behavior emerges from simple rules. Rather than writing code, you interact directly with the network. Adjust parameters, introduce feedback loops, and watch how excitation, inhibition, and decay shape firing patterns over time. What you can do: • Build custom neural networks by adding and connecting neurons • Assign excitatory or inhibitory neuron types • Adjust basal firing rates and synaptic decay • Modify synaptic weights and observe their effects • Visualize spike propagation and firing dynamics • Monitor live firing rates and recent activity history • Explore simple Hebbian-style learning rules • Detect and pause runaway network behavior