scholarly journals What Is Consciousness, and Could Machines Have It?

2021 ◽  
pp. 43-56
Author(s):  
Stanislas Dehaene ◽  
Hakwan Lau ◽  
Sid Kouider
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Careful Consideration ◽  
The Self ◽  
Self Monitoring ◽  
Unconscious Processing ◽  
Word Consciousness ◽  
Types Of Information ◽  
The Brain ◽  
Selection Of

AbstractThe controversial question of whether machines may ever be conscious must be based on a careful consideration of how consciousness arises in the only physical system that undoubtedly possesses it: the human brain. We suggest that the word “consciousness” conflates two different types of information-processing computations in the brain: the selection of information for global broadcasting, thus making it flexibly available for computation and report (C1, consciousness in the first sense), and the self-monitoring of those computations, leading to a subjective sense of certainty or error (C2, consciousness in the second sense). We argue that despite their recent successes, current machines are still mostly implementing computations that reflect unconscious processing (C0) in the human brain. We review the psychological and neural science of unconscious (C0) and conscious computations (C1 and C2) and outline how they may inspire novel machine architectures.

Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback

2005 ◽  
Vol 17 (10) ◽  
pp. 2139-2175 ◽  
Author(s):  
Naoki Masuda ◽  
Brent Doiron ◽  
André Longtin ◽  
Kazuyuki Aihara
Keyword(s):  
Information Processing ◽  
Stimulus Frequency ◽  
Spiking Neurons ◽  
Feedforward Networks ◽  
Dynamical Characteristics ◽  
Neural Activities ◽  
Inherent Frequency ◽  
Types Of Information ◽  
The Brain

Oscillatory and synchronized neural activities are commonly found in the brain, and evidence suggests that many of them are caused by global feedback. Their mechanisms and roles in information processing have been discussed often using purely feedforward networks or recurrent networks with constant inputs. On the other hand, real recurrent neural networks are abundant and continually receive information-rich inputs from the outside environment or other parts of the brain. We examine how feedforward networks of spiking neurons with delayed global feedback process information about temporally changing inputs. We show that the network behavior is more synchronous as well as more correlated with and phase-locked to the stimulus when the stimulus frequency is resonant with the inherent frequency of the neuron or that of the network oscillation generated by the feedback architecture. The two eigenmodes have distinct dynamical characteristics, which are supported by numerical simulations and by analytical arguments based on frequency response and bifurcation theory. This distinction is similar to the class I versus class II classification of single neurons according to the bifurcation from quiescence to periodic firing, and the two modes depend differently on system parameters. These two mechanisms may be associated with different types of information processing.

scholarly journals On The Verge of the Hybrid Mind

2021 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Surjo Soekadar ◽  
Jennifer Chandler ◽  
Marcello Ienca ◽  
Christoph Bublitz
Keyword(s):  
Human Brain ◽  
Natural Environment ◽  
The Body ◽  
The Self ◽  
Cognitive Systems ◽  
Privacy And Security ◽  
Technological Artifacts ◽  
Mind And Body ◽  
The Mind ◽  
The Brain

Recent advances in neurotechnology allow for an increasingly tight integration of the human brain and mind with artificial cognitive systems, blending persons with technologies and creating an assemblage that we call a hybrid mind. In some ways the mind has always been a hybrid, emerging from the interaction of biology, culture (including technological artifacts) and the natural environment. However, with the emergence of neurotechnologies enabling bidirectional flows of information between the brain and AI-enabled devices, integrated into mutually adaptive assemblages, we have arrived at a point where the specific examination of this new instantiation of the hybrid mind is essential. Among the critical questions raised by this development are the effects of these devices on the user’s perception of the self, and on the user’s experience of their own mental contents. Questions arise related to the boundaries of the mind and body and whether the hardware and software that are functionally integrated with the body and mind are to be viewed as parts of the person or separate artifacts subject to different legal treatment. Other questions relate to how to attribute responsibility for actions taken as a result of the operations of a hybrid mind, as well as how to settle questions of the privacy and security of information generated and retained within a hybrid mind.

2. The human brain

2017 ◽  
pp. 17-33
Author(s):  
Susan Blackmore
Keyword(s):  
Body Image ◽  
Motor Control ◽  
Human Brain ◽  
Brain Function ◽  
The Self ◽  
Central Processor ◽  
Human Consciousness ◽  
The Brain ◽  
Vast Network ◽  
Successful Science

‘The human brain’ considers the brain as a vast network of connections from which come our extraordinary abilities: perception, learning, memory, reasoning, language, and somehow or another—consciousness. Different areas deal with vision, hearing, speech, body image, motor control, and forward planning. They are all linked, but this is not done through one central processor, but by millions of criss-crossing connections. By contrast, human consciousness seems to be unified. A successful science of consciousness must therefore explain the contents of consciousness, the continuity of consciousness, and the self who is conscious. Research linking consciousness to brain function is discussed along with conditions such as synaesthesia, blindsight, stroke damage, and amnesia.

Regional selection of the brain size regulating gene CASC5 provides new insight into human brain evolution

2016 ◽  
Vol 136 (2) ◽  
pp. 193-204 ◽  
Author(s):  
Lei Shi ◽  
Enzhi Hu ◽  
Zhenbo Wang ◽  
Jiewei Liu ◽  
Jin Li ◽  
...  
Keyword(s):  
Human Brain ◽  
Brain Size ◽  
Brain Evolution ◽  
Human Brain Evolution ◽  
The Brain ◽  
Insight Into ◽  
Selection Of

scholarly journals Consistency in macroscopic human brain responses to noisy time-varying visual inputs

2019 ◽  
Author(s):  
Keiichi Kitajo ◽  
Takumi Sase ◽  
Yoko Mizuno ◽  
Hiromichi Suetani
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Brain Dynamics ◽  
Time Varying ◽  
Ongoing Activity ◽  
Visual Inputs ◽  
Brain Responses ◽  
Individual Variations ◽  
Open Question ◽  
The Brain

AbstractIt is an open question as to whether macroscopic human brain responses to repeatedly presented external inputs show consistent patterns across trials. We here provide experimental evidence that human brain responses to noisy time-varying visual inputs, as measured by scalp electroencephalography (EEG), show a signature of consistency. The results indicate that the EEG-recorded responses are robust against fluctuating ongoing activity, and that they respond to visual stimuli in a repeatable manner. This consistency presumably mediates robust information processing in the brain. Moreover, the EEG response waveforms were discriminable between individuals, and were invariant over a number of days within individuals. We reveal that time-varying noisy visual inputs can harness macroscopic brain dynamics and can manifest hidden individual variations.

scholarly journals A Synergistic Workspace for Human Consciousness Revealed by Integrated Information Decomposition

2020 ◽  
Author(s):  
Andrea I. Luppi ◽  
Pedro A.M. Mediano ◽  
Fernando E. Rosas ◽  
Judith Allanson ◽  
John D. Pickard ◽  
...  
Keyword(s):  
Information Processing ◽  
Human Brain ◽  
Information Integration ◽  
Conscious Experience ◽  
Human Information Processing ◽  
Loss Of Consciousness ◽  
Mathematical Framework ◽  
Human Consciousness ◽  
The Brain ◽  
Integrated Information

AbstractA central goal of neuroscience is to understand how the brain synthesises information from multiple inputs to give rise to a unified conscious experience. This process is widely believed to require integration of information. Here, we combine information theory and network science to address two fundamental questions: how is the human information-processing architecture functionally organised? And how does this organisation support human consciousness? To address these questions, we leverage the mathematical framework of Integrated Information Decomposition to delineate a cognitive architecture wherein specialised modules interact with a “synergistic global workspace,” comprising functionally distinct gateways and broadcasters. Gateway regions gather information from the specialised modules for processing in the synergistic workspace, whose contents are then further integrated to later be made widely available by broadcasters. Through data-driven analysis of resting-state functional MRI, we reveal that gateway regions correspond to the brain’s well-known default mode network, whereas broadcasters of information coincide with the executive control network. Demonstrating that this synergistic workspace supports human consciousness, we further apply Integrated Information Decomposition to BOLD signals to compute integrated information across the brain. By comparing changes due to propofol anaesthesia and severe brain injury, we demonstrate that most changes in integrated information happen within the synergistic workspace. Furthermore, it was found that loss of consciousness corresponds to reduced integrated information between gateway, but not broadcaster, regions of the synergistic workspace. Thus, loss of consciousness may coincide with breakdown of information integration by this synergistic workspace of the human brain. Together, these findings demonstrate that refining our understanding of information-processing in the human brain through Integrated Information Decomposition can provide powerful insights into the human neurocognitive architecture, and its role in supporting consciousness.

Philosophical and Physical Opinions

2019 ◽  
pp. 40-58
Author(s):  
David Cunning
Keyword(s):  
Mental Illness ◽  
Seventeenth Century ◽  
Motion Perception ◽  
Structural Integrity ◽  
Empty Space ◽  
Natural World ◽  
The Self ◽  
Men And Women ◽  
The Brain ◽  
Selection Of

This chapter features a selection of excerpts from Cavendish’s book, Philosophical and Physical Opinions. The passages treat a number of topics and issues: whether or not there are inherent capability differences between men and women; gender; atomism; whether or not goodness and badness are objective qualities in the natural world; empty space and the impossibility of vacuum; the struggle for creatures to maintain their structural integrity; striving; individuation; creation; annihilation; chance; causation; teleology; knowledge; motion; perception; mental illness and the brain; and physicians and disease. The chapter begins with a note that Cavendish writes “To the Two Universities” in which she says that the main reason for differences in the skills and capacities of women and men is that men have put into place structures that make it impossible for women to develop and flourish. She also looks ahead to a future time when different structures will be in place and the self-same work that she has produced in the seventeenth century will have an opportunity to secure a foothold.

Cannabis and the Brain

1996 ◽  
Vol 30 (2) ◽  
pp. 179-183 ◽  
Author(s):  
David J. Castle ◽  
Frances R. Ames
Keyword(s):  
Information Processing ◽  
Literature Review ◽  
Human Brain ◽  
Cannabis Sativa ◽  
Cerebral Damage ◽  
Functional Psychoses ◽  
Precise Relationship ◽  
Relationship Of ◽  
The Brain

Objective: The aim of the paper is to review the effects of Cannabis sativa on the human brain. Method: A selective literature review was undertaken. Results/Conclusions: Cannabis sativa causes an acute and, with regular heavy ingestion, a subacute encephalopathy. There is no evidence of irreversible cerebral damage resulting from its use, although impairment of information processing might be a long-term consequence of heavy prolonged use. The precise relationship of cannabis to the functional psychoses such as schizophrenia has yet to be clarified.

scholarly journals Extrinsic factors underlying food valuation in the human brain

2020 ◽  
Author(s):  
Kosuke Motoki ◽  
Shinsuke Suzuki
Keyword(s):  
Human Brain ◽  
Brain Regions ◽  
Reward Processing ◽  
Extrinsic Factors ◽  
Decision Neuroscience ◽  
Subjective Value ◽  
Wide Range ◽  
Range Of Functions ◽  
Types Of Information ◽  
The Brain

Subjective value for food rewards guide our dietary choices. There is growing evidence that value signals are constructed in the brain by integrating multiple types of information about flavour, taste, and nutritional attributes of the foods. However, much less is known about the influence of food-extrinsic factors such as labels, brands, prices, and packaging designs. In this mini review, we outline recent findings in decision neuroscience, consumer psychology, and food science with regard to the effect of extrinsic factors on food value computations in the human brain. To date, studies have demonstrated that, while the integrated value signal is encoded in the ventromedial prefrontal cortex, information on the extrinsic factors of the food is encoded in diverse brain regions previously implicated in a wide range of functions: cognitive control, memory, emotion and reward processing. We suggest that a comprehensive understanding of food valuation requires elucidation of the mechanisms behind integrating extrinsic factors in the brain to compute an overall subjective value signal.

scholarly journals On The Verge of the Hybrid Mind

2021 ◽  
Vol 1 (1) ◽  
pp. 30-43
Author(s):  
Surjo Soekadar ◽  
Jennifer Chandler ◽  
Marcello Ienca ◽  
Christoph Bublitz
Keyword(s):  
Human Brain ◽  
Natural Environment ◽  
The Body ◽  
The Self ◽  
Cognitive Systems ◽  
Privacy And Security ◽  
Technological Artifacts ◽  
Mind And Body ◽  
The Mind ◽  
The Brain

Recent advances in neurotechnology allow for an increasingly tight integration of the human brain and mind with artificial cognitive systems, blending persons with technologies and creating an assemblage that we call a hybrid mind. In some ways the mind has always been a hybrid, emerging from the interaction of biology, culture (including technological artifacts) and the natural environment. However, with the emergence of neurotechnologies enabling bidirectional flows of information between the brain and AI-enabled devices, integrated into mutually adaptive assemblages, we have arrived at a point where the specific examination of this new instantiation of the hybrid mind is essential. Among the critical questions raised by this development are the effects of these devices on the user’s perception of the self, and on the user’s experience of their own mental contents. Questions arise related to the boundaries of the mind and body and whether the hardware and software that are functionally integrated with the body and mind are to be viewed as parts of the person or separate artifacts subject to different legal treatment. Other questions relate to how to attribute responsibility for actions taken as a result of the operations of a hybrid mind, as well as how to settle questions of the privacy and security of information generated and retained within a hybrid mind.

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