ArticleFrontiers in computational neuroscience2020
Will We Ever Have Conscious Machines?
Article in Frontiers in computational neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Mirror-induced origination process of human self-consciousness-restructuring consciousness-based cognitive theory.Frontiers in psychology · 2026Article
- Can artificial systems become conscious?-Recursive embodied closure as an integrative framework.Frontiers in psychology · 2026Article
- Probing for consciousness in machines.Frontiers in artificial intelligence · 2025Article
- Eight challenges in developing theory of intelligence.Frontiers in computational neuroscience · 2024Article
- Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.Scientific reports · 2023Article
- Anesthesia for non-traditional consciousness.Frontiers in human neuroscience · 2023Article
- Classification at the accuracy limit: facing the problem of data ambiguity.Scientific reports · 2022Article
- Tinnitus is associated with improved cognitive performance and speech perception-Can stochastic resonance explain?Frontiers in aging neuroscience · 2022Article
- Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway.Frontiers in neuroscience · 2022Article
- Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence.Frontiers in artificial intelligence · 2022Review
- Analysis and visualization of sleep stages based on deep neural networks.Neurobiology of sleep and circadian rhythms · 2021Article
- Spiking Autoencoders With Temporal Coding.Frontiers in neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The question of whether artificial beings or machines could become self-aware or conscious has been a philosophical question for centuries. The main problem is that self-awareness cannot be observed from an outside perspective and the distinction of being really self-aware or merely a clever imitation cannot be answered without access to knowledge about the mechanism's inner workings. We investigate common machine learning approaches with respect to their potential ability to become self-aware. We realize that many important algorithmic steps toward machines with a core consciousness have already been taken.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.