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Relations (1)
related 0.70 — strongly supporting 6 facts
The relationship between consciousness and artificial neural networks is defined by ongoing debates regarding whether computational models can replicate human cognitive states [1], [2]. Furthermore, scientific research explores how the dynamics of neural networks relate to the emergence of consciousness [3], [4], while also addressing the limitations of these models in solving complex phenomena like the binding problem [5].
Facts (6)
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Quantum Models of Consciousness from a Quantum Information ... arxiv.org 3 facts
claimThe binding problem remains challenging to explain at the scale of neural networks, leading to the proposal that consciousness should be conceptualized as a force field.
claimModern science and philosophy generally assume that consciousness arises from complex synaptic computations within neural networks, where brain neurons function as fundamental units of information.
perspectiveThe authors of 'Quantum Models of Consciousness from a Quantum Information Science Perspective' argue that a purely algorithmic and deterministic perspective on neural networks leaves little room for concepts such as qualia and free will in the understanding of consciousness.
The evolution of human-type consciousness – a by-product of ... frontiersin.org 1 fact
referenceRabinovich, Zaks, and Varona (2020) published 'Sequential dynamics of complex networks in mind: consciousness and creativity' in Physics Reports, discussing the dynamics of neural networks in relation to consciousness.
Life, Intelligence, and Consciousness: A Functional Perspective longnow.org 1 fact
perspectiveMany members of the European and American intelligentsia argue that terms such as 'intelligence,' 'learning,' 'understanding,' 'agency,' and 'consciousness' should not be applied to artificial neural networks without qualification.
Quantum Mechanics And Consciousness: The Physics Of Mind quantumzeitgeist.com 1 fact
perspectiveMost neuroscientists focus on classical physics explanations for consciousness, emphasizing neural networks and information processing rather than quantum mechanical models.