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Category: neural networks

Towards a cognitive neuroscience of self-awareness

Towards a cognitive neuroscience of self-awareness

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Recall the anterior cingulate cortex’s (ACC) role in meditative states from the last post. This neuroscience article by the above name claims that “self-awareness is a pivotal component of conscious experience. It is correlated with a paralimbic network of medial prefrontal/anterior cingulate and medial parietal/posterior cingulate cortical ‘hubs’ and associated regions. Electromagnetic and transmitter manipulation have demonstrated that the network is not an epiphenomenon but instrumental in generation of self-awareness.” Concerning meditation and this brain network: “The new understanding of…

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Communication between brain areas based on nested oscillations

Communication between brain areas based on nested oscillations

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eNeuro, 10 March 2017, 4(2). This might be neuroscientific evidence for my speculations on the syntegration of consciousness states and stages via meditative discipline. To be determined. The abstract: “Unraveling how brain regions communicate is crucial for understanding how the brain processes external and internal information. Neuronal oscillations within and across brain regions have been proposed to play a crucial role in this process. Two main hypotheses have been suggested for routing of information based on oscillations, namely communication through coherence and…

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Consciousness in the world is scale invariant

Consciousness in the world is scale invariant

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And implies an event horizon of the human brain. There’s a mouthful, a new title in NeuroQuantology (15:3, September 2017). The abstract follows, also a brainful. This will take some reading and digesting, provided I have the requisite capacity to understand it (which remains to be seen). “Our brain is not a ‘stand alone’ information processing organ: it acts as a central part of our integral nervous system with recurrent information exchange with the entire organism and the cosmos. In this study, the brain…

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The real problem of consciousness

The real problem of consciousness

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See this article. A few excerpts: “A new picture is taking shape in which conscious experience is seen as deeply grounded in how brains and bodies work together to maintain physiological integrity – to stay alive.” “The brain is locked inside a bony skull. All it receives are ambiguous and noisy sensory signals that are only indirectly related to objects in the world. Perception must therefore be a process of inference, in which indeterminate sensory signals are combined with prior…

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Deep clustering machine learning enables AI to distinguish individual voices in a crowd

Deep clustering machine learning enables AI to distinguish individual voices in a crowd

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AI system can isolate individuals’ voices from other environmental noise, including other voices. Such a system has many potential uses, both benign and nefarious. The ability is rapidly improving to untangle signals from noise and identify which signals are from which sources. The approach should be able to apply to other kinds of signals too, not only sounds. https://www.newscientist.com/article/2151268-an-ai-has-learned-how-to-pick-a-single-voice-out-of-a-crowd/

Downward mental causation and free will

Downward mental causation and free will

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I know, to free will or not to free will, that is the hackneyed question debated in philosophical circles since we learned how to talk. But here’s a cognitive neuroscientist’s research on “how neuronal code underlies top-down mental causation.” It’s a long video, over 2 hours, and I have yet to complete it. Here is Peter Tse’s CV.  Here is his book on the topic is. Here is a good summary of Tse’s work on the topic.

Memes are like cognitive frames

Memes are like cognitive frames

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It occurred to me that memes are a lot like frames as Lakoff describes them. Lakoff has done extensive cognitive scientific work on schemas, metaphors and frames. Check out this lengthy article in Frontiers in Human Neuroscience, 2014; 8: 958, “Mapping the brain’s metaphor circuitry.” Even though they don’t relate this to the concept of memes, there are some striking similarities. E.g.:  “Reddy had found that the abstract concepts of communication and ideas are understood via a conceptual metaphor: Ideas…

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Gender role bias in AI algorithms

Gender role bias in AI algorithms

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Should it surprise us that human biases find their way into human-designed AI algorithms trained using data sets of human artifacts? Machine-learning software trained on the datasets didn’t just mirror those biases, it amplified them. If a photo set generally associated women with cooking, software trained by studying those photos and their labels created an even stronger association. https://www.wired.com/story/machines-taught-by-photos-learn-a-sexist-view-of-women?mbid=nl_82117_p2&CNDID=24258719

Neo-Piagetian theories of cognitive development

Neo-Piagetian theories of cognitive development

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In a few previous posts I posted articles on new scientific research questioning some of Piaget’s original premises. This Wikipedia article discusses those neo-Piagetians who have taken into account the more recent science. Also see this article that discusses some of the neo-Piagetians but then focuses on Kurt Fischer’s work.

Brain’s facial-recognition mechanism revealed

Brain’s facial-recognition mechanism revealed

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Caltech researchers have identified the brain mechanisms that enable primates to quickly identify specific faces. In a feat of efficiency, surprisingly few feature-recognition neurons are involved in a process that may be able to distinguish among billions of faces. Each neuron in the facial-recognition system specializes in noticing one feature, such as the width of the part in the observed person’s hair. If the person is bald or has no part, the part-width-recognizing neuron remains silent. A small number of…

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