PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

Software for amblyopia treatment done for Meta Quest 3

⊛ Consciousness Architecture. Change the word. Change the world. ⊛

A hybrid heuristic + LLM neuroplasticity engine for local LLMs - recreates biological synaptic formation, decay and pruning as autonomous graph operations over Neo4j, powered by Ollama.

Advanced computational framework for integrated analysis of molecular and electrical brain network dynamics at the cellular level

CNS-targeted virtual screening of TIMP2 modulators with ADMET and toxicity profiling.

Clinical guide for recoveriX brain-computer interface rehabilitation | Medical BCI for stroke, MS, TBI, SCI | Luxembourg

This reporsitory hosts simulation files, data and plotting notebooks supporting the preprint 'Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks' by Anil et.al., 2023.

"A collection of 10 AI prompts to rewire your brain for better thinking, productivity, and learning. Inspired by Grok and neuroplasticity concepts, these prompts help you think faster, solve problems, and master skills efficiently. Ideal for self-improvement enthusiasts and AI learners."

Dichoptic VR therapy for amblyopia — Pico G2 4K port (same headset as Luminopia FDA-cleared treatment)

Differentiable Plasticity: A Meta-Learning Framework for Evolving Universal Learning Rules : This work synthesizes concepts from: Hebbian neuroscience (activity-dependent synaptic modification) Meta-learning (learning to learn) Differentiable programming (end-to-end gradient flow) Neuroplasticity (adaptive weight modification)

🧠 Enhance neurorehabilitation with recoveriX, a BCI technology that helps patients regain motor functions through innovative therapy and real-time feedback.

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

An open-source framework to reprogram youth mindset, habits, and intelligence through controlled observation, content consumption, and ethical self-mastery.

This project is designed to assess cortical motor map changes due to pellet eating behavior paired with vagus nerve stimulation

Bio-inspired continual learning library in PyTorch. Features dynamic neurogenesis, synaptic consolidation, and fast/slow weights to prevent catastrophic forgetting. Learn animals + vehicles + adapt to noise—all without destroying previous knowledge.

Enable local LLMs to manage semantic memory graphs using a hybrid heuristic and LLM-driven Neo4j system for dynamic, autonomous knowledge control.

Rémy Cohan

Manage persistent memory for Claude Code with a markdown vault that updates, reflects, and improves your agent's knowledge over time.