Zenodo (CERN European Organization for Nuclear Research)
September 7, 2026
Jincheng Zhang
This paper presents a formal model of consciousness, aiming to bridge the gap between theoretical neuroscience and rigorous mathematical analysis. The model leverages the principles of Integrated Information Theory (IIT) to quantify the degree of integrated information (Φ) within a system, and employs Bayesian inference to dynamically update beliefs based on sensory input. The core of the model...
Zenodo (CERN European Organization for Nuclear Research)
September 7, 2026
Jincheng Zhang
This paper proposes a novel approach to understanding consciousness by constructing an ontological framework – a first-person "ontology" – derived from simulating the information processing mechanisms within biological neural systems. The core claim is that consciousness, fundamentally, is an emergent property of complex information processing. We advocate for a bottom-up approach, utilizing...
Zenodo (CERN European Organization for Nuclear Research)
September 7, 2026
Jincheng Zhang
This paper proposes a novel computational architecture for mapping and simulating consciousness, termed the Dynamic Consciousness Mapping (DCM) architecture. The core claim rests on the ability to dynamically analyze and map subjective states of consciousness, enabling a system to both understand and potentially control these states. The proposed mechanism utilizes real-time physiological data,...
Zenodo (CERN European Organization for Nuclear Research)
September 7, 2026
Jincheng Zhang
This paper proposes a novel approach to synthesizing consciousness by focusing on embodiment. The core argument posits that genuine synthetic consciousness emerges not solely from complex computational models, but from the seamless integration of a sophisticated neural network within a physical robotic system. This system is designed to mimic the emergent properties of consciousness, including...
Zenodo (CERN European Organization for Nuclear Research)
September 7, 2026
Jincheng Zhang
This paper explores the potential of geometric modeling to represent consciousness, moving beyond correlational analysis to propose a hierarchical framework based on predictive chaos. The core claim is to develop a dynamic graph model of the brain, where interconnected regions evolve through a chaotic system, and the network's structure reflects internal states. This model aims to offer a novel...
Zenodo (CERN European Organization for Nuclear Research)
September 6, 2026
Jincheng Zhang
This paper explores the potential of geometric modeling to represent and analyze consciousness, proposing a novel neural network architecture designed to explicitly capture the underlying geometric patterns of brain activity. The core claim is that by modeling neural networks as geometric structures, we can gain a deeper understanding of the connections and representations that correlate with...
Zenodo (CERN European Organization for Nuclear Research)
September 6, 2026
Jincheng Zhang
This paper explores the potential of simulating embodied cognition through the construction of simulated sensorimotor loops. The core claim is that creating more realistic artificial intelligence agents requires modeling the embodied experience of the agent, specifically by replicating the feedback mechanisms inherent in human sensorimotor processes. The proposed mechanism involves an agent...
Zenodo (CERN European Organization for Nuclear Research)
September 6, 2026
Jincheng Zhang
This paper proposes a novel formal model of consciousness grounded in the principles of Integrated Information Theory (IIT) and graph representation. The core idea is to represent the brain as a complex graph, where nodes correspond to neurons and edges denote synaptic connections. Utilizing IIT, we quantitatively assess the integrated information within this graph, aiming to correlate this...
Zenodo (CERN European Organization for Nuclear Research)
September 6, 2026
Jincheng Zhang
This paper explores the potential for a mathematical model to describe consciousness as an emergent property arising from the geometry of interconnected neural networks. Traditional theories focus on information processing, but we propose a novel framework – the 'geometry-based constraint' – suggesting that neural networks actively shape and refine their internal representations, directly...
Zenodo (CERN European Organization for Nuclear Research)
September 6, 2026
Jincheng Zhang
This paper explores the mathematical framework for describing the emergence of consciousness from complex neural networks. We propose a rigorous mathematical model that incorporates feedback loops and self-organization, aiming to provide a foundation for understanding the subjective experience. The core claim is to develop a mathematical model capable of explaining the evolution of neural...
Zenodo (CERN European Organization for Nuclear Research)
September 5, 2026
Jincheng Zhang
This paper presents a novel formal model of consciousness, integrating the principles of Integrated Information Theory (IIT) with Bayesian Networks. The core challenge in understanding consciousness lies in its lack of a rigorous, quantifiable mathematical representation. This model addresses this deficiency by utilizing IIT's concept of integrated information (Φ) – representing the amount of...
Zenodo (CERN European Organization for Nuclear Research)
September 5, 2026
Jincheng Zhang
This paper proposes a computational model designed to simulate the emergent phenomenon of consciousness. The core of the model lies in the construction of a complex network, governed by nonlinear dynamics and exhibiting self-organization, feedback mechanisms, and information integration. The model utilizes a massively parallel computing architecture to explore the potential for subjective...
Zenodo (CERN European Organization for Nuclear Research)
September 5, 2026
Jincheng Zhang
This paper proposes a novel model for simulating consciousness, termed the Time Window Recursive Model (TWRM). The core claim of this model is that subjective experience and self-awareness can be effectively modeled by recursively processing information within temporally defined windows. The proposed mechanism involves decomposing conscious experience into a series of time windows, where each...
Zenodo (CERN European Organization for Nuclear Research)
September 5, 2026
Jincheng Zhang
This paper proposes a novel approach to simulating consciousness by developing dynamic multi-modal neuron models. The core idea is to replicate the underlying mechanisms of consciousness by simulating the intricate interactions and information integration between diverse neuronal populations. We construct a model incorporating visual, auditory, and motor modalities, dynamically modeling the...
Zenodo (CERN European Organization for Nuclear Research)
September 5, 2026
Jincheng Zhang
This paper explores the potential of algorithmic simulation to model emergent consciousness – the subjective experience of being. We propose a novel 'Dynamic Resonance Network' architecture, designed to mimic the intricate feedback loops within the human brain, as a starting point for understanding this fundamental aspect of cognition. The core claim is that by creating a sufficiently complex...
Zenodo (CERN European Organization for Nuclear Research)
September 4, 2026
Jincheng Zhang
This paper explores the potential for emergent consciousness arising from fractal feedback loops within a complex neural network. The core claim is that such a network, exhibiting self-organizing fractal patterns, can generate a subjective experience, potentially demonstrating a causal link between the network's internal state and its observable behavior. We propose a model of the brain as a...
Zenodo (CERN European Organization for Nuclear Research)
September 4, 2026
Jincheng Zhang
This paper introduces a novel consciousness computing model predicated on dynamic quantum entanglement. We propose a framework that utilizes the inherent properties of quantum entanglement to simulate the intricate dynamics of the human brain's neural connections, focusing on information transfer and the potential for subjective experience. The core mechanism involves mimicking the brain's...
Zenodo (CERN European Organization for Nuclear Research)
September 4, 2026
Jincheng Zhang
Quantum consciousness, the hypothesized subjective experience arising from quantum processes, has remained largely a philosophical debate with limited empirical validation. Traditional approaches to studying consciousness rely heavily on correlational studies, which often struggle to capture the nuances of subjective experience. This paper proposes a novel metric, the "Cognitive Resonance"...
Zenodo (CERN European Organization for Nuclear Research)
September 3, 2026
Jincheng Zhang
This paper investigates the algorithmic formalization of emergent consciousness within complex neural networks. The core claim is to develop a mathematically-based framework to quantify and analyze the emergence of subjective experience and consciousness, utilizing concepts of information integration, dynamic resonance, and self-organization. The framework proposes a rigorous,...
Zenodo (CERN European Organization for Nuclear Research)
September 3, 2026
Jincheng Zhang
This paper explores the potential of utilizing the framework of multi-particle quantum field theory (MQFT) to simulate the neural correlates of consciousness. The core claim is to develop a system capable of mimicking brain activity and information flow, leveraging quantum entanglement as a fundamental mechanism. We propose a model centered around simulating neural networks through quantum...
Zenodo (CERN European Organization for Nuclear Research)
September 3, 2026
Jincheng Zhang
This paper proposes a novel approach to neural computing, termed "Conscious-Based Neural Computing," which seeks to build computational systems exhibiting rudimentary forms of understanding and self-awareness by directly mimicking the underlying mechanisms of human consciousness. The core idea is to move beyond treating consciousness as a purely theoretical construct, and instead, integrate it...
Zenodo (CERN European Organization for Nuclear Research)
September 2, 2026
Jincheng Zhang
This paper proposes and outlines the design of an "Emergent Consciousness Simulator," a computational model aimed at simulating the emergent phenomenon of consciousness. The core claim is that consciousness arises from the complex interactions within a system, rather than residing solely in individual components. This simulator will leverage massively parallel computing to model the intricate...
Zenodo (CERN European Organization for Nuclear Research)
September 2, 2026
Jincheng Zhang
Quantum state collapse, a cornerstone of quantum mechanics, has long been considered a bizarre phenomenon with limited explanatory power regarding consciousness. However, recent theoretical developments, particularly within the framework of quantum information theory, suggest a potentially profound connection between the collapse of quantum states and the subjective experience of consciousness....
Zenodo (CERN European Organization for Nuclear Research)
September 2, 2026
Jincheng Zhang
This paper proposes a novel approach to understanding consciousness, termed Emergent Consciousness Simulation (SIM). The core claim is that consciousness emerges from the specific scale and interaction patterns within neural networks. SIM leverages large-scale parallel computing to construct a simulated neural network incorporating self-organizing modules and feedback loops, mirroring...
Zenodo (CERN European Organization for Nuclear Research)
September 2, 2026
Jincheng Zhang
This paper explores the theoretical possibility of algorithmic consciousness, moving beyond embodied systems to investigate the emergence of self-aware behavior within computational architectures through iterative feedback and emergent properties. We propose a novel self-organizing algorithm, termed the "Cognitive Loop," designed to generate a simulated consciousness by continually adjusting...