Modeling brain function—the world of attractor neural networks
Modeling brain function—the world of attractor neural networks
The conscious mind: in search of a fundamental theory
The conscious mind: in search of a fundamental theory
Paradigmatic working memory (attractor) cell in IT cortex
Neural Computation
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Attractor Dynamics in Feedforward Neural Networks
Neural Computation
Cognitive Map Dimensions of the Human Value System Extracted from Natural Language
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
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This paper focuses on three connected to each other fundamental beliefs that appear to be unconsciously taken for granted at the basis of modern cognitive neuroscience: (i) the attractor hypothesis, (ii) the neural code hypothesis, and (iii) the supervenience hypothesis about human subjective experience. Their precise understanding and experimental verification is an important challenge that calls for a scientific paradigm change and needs to be addressed for future progress in cognitive neuroscience. The work presents a theoretical analysis and preliminary experimental and modeling results that suggest a roadmap to solving the challenge.