Synthetic Cortex: Emotional and Instinctive Cognitive Layer for LLMs

Hello everyone,
I’m the founder of the Synthetic Cortex (Scortex Laboratory) project, and I would like to share the methodology we have been developing.

Synthetic Cortex is a technology project conducting research on integrating emotional and instinctive decision-making mechanisms into large language models (LLMs).
Inspired by the human brain's cerebral cortex, Scortex aims to develop advanced cognitive layers that can be integrated into any LLM architecture.

Our first demo, Synthetic Cortex L1, has been released for limited user testing, marking the completion of the initial research phase.
L1 functions as an external cognitive layer capable of generating artificial emotions and making instinctive decisions.

In 1943, neuroscientist Warren McCulloch and logician Walter Pitts mathematically modeled the human neuron mechanism for the first time, laying the foundation for LLM technology. Synthetic Cortex builds upon this legacy — in addition to artificial neurons, it mathematically models the structures of hormones and neurotransmitters that give rise to human emotions and integrates them into the neural decision-making mechanism.

As a result, the model bases its decisions not only on data but also on simulated emotional and instinctive dynamics, granting it creative and adaptive behavioral tendencies.

The L1 version functions like a hat covering the brain — no matter which LLM it’s connected to, optimization occurs within this layer. However, our next iteration, L2, moves this mechanism inside the model’s hidden and output layers — evolving from an external attachment into an embedded cortical structure.

#opensource

All technical details: www.scortexlabs.com/next1.html

Demo model: studio.scortexlabs.com

🧠 What Problem Does It Solve?

This technology mimics how the human mind processes experiences.
It models hormone and neurotransmitter levels in a way analogous to artificial neural activations. During inference, user inputs and model responses are used to generate dynamic hormone loads, which modulate variables in the model’s hidden layers.

Through this manipulation, the system activates a Default Mode Network— initiating a deep, associative thinking process before producing an output.

Synthetic Cortex explores what a language model with emotions, instinctive behavior, and associative deep thought...

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