Catalina Andrea Saini Ferrón

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on the atlas — 30

highlights — 64

For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
For classification, linear discriminant analysis has been most widely used. However, further research on vector phase analysis as a classifier for multiple commands is desirable. Overall, proper brain region identification and proper selection of features will improve classification accuracy.
Frontiers | Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces | Human Neuroscience
We also observed sudden phase shifts in fronto-parietal connectivity at the LOC and the ROC as critical points. fNIRS measurement also revealed mild hemodynamic fluctuations. Compared with general anesthesia, our results provide insights into critical hallmarks of sedative-induced (un)consciousness, which have similar spatio-temporal EEG-fNIRS patterns regardless of the stage and the sedative used.
Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol
Once consciousness was lost via sedatives, we observed gradually increasing EEG power at lower frequencies ( 15 Hz), as well as spatially increased EEG powers in the delta and lower alpha bands, and particularly also in the upper alpha rhythm, at the frontal and parieto-occipital areas over time. During ROC from unconsciousness, these spatio-temporal changes were reversed.
Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol
If event A occurs, then event B will likely follow. In the case that event A is an action we undertake and B the predicted outcome, operant conditioning works to establish an association between them. In some cases, this can include acquisition of an explicit internal representation of the causal relation between action and outcome that becomes the basis for deliberative and strategic decision making. In such cases, we select action A in the current moment based on an internal and explicit projection of its future consequences. Therefore, how neural circuits carry out these computations and wh…
If I do A, B will happen: Dissecting circuits detecting causal relations between actions and outcomes in marmoset prefrontal cortex: Neuron
We replicated and extended previous re- search that the sense of whole number emerges in a different DCNN architecture. Further, we showed that DCNN is also sensitive to fraction value, i.e., the ratio of numerosities. Test- ing this model, our results suggest that the fraction sense relies on the whole number sense.
The “Fraction Sense” Emerges from a Deep Convolutional Neural Network
the model has never been explicitly trained to learn the concept of numerosity. Any sensitivity to numerosity is an emergent property of learning to recognize objects, visual statistics and/or the model architecture itself.
The “Fraction Sense” Emerges from a Deep Convolutional Neural Network
mathematical cognition researchers have found that a ”whole number sense” emerges within these DCNNs
The “Fraction Sense” Emerges from a Deep Convolutional Neural Network
computational investigation of whether state-of-the-art ob- ject recognition models have a fraction sense, and if they do, whether it is built on a whole number sense
The “Fraction Sense” Emerges from a Deep Convolutional Neural Network
The standard model for state-of-the-art object recognition is a deep convolutional neural network
The “Fraction Sense” Emerges from a Deep Convolutional Neural Network
Las ciencias formales son conjuntos sistemáticos de conocimientos racionales y coherentes. Si bien su objeto de estudio no es el mundo físico o natural, sino objetos puramente abstractos, sus conocimientos pueden ser aplicados a dicha realidad físico-natural. El método propio de las ciencias formales es la deducción; y a diferencia de la ciencia empírica, no admite la inducción ni la abducción.1 Es aquella que trabaja con formas, es decir, con objetos ideales que existen en la mente y son obtenidos por abstracción. La verdad en las ciencias formales es entendida como verdad lógica
Ciencias_formales
the sense of joint agency strongly reflects the inter-brain synchronization, which depends on the quality of mutual cooperation during a joint action.
Inter-brain synchronization during a cooperative task reflects the sense of joint agency - ScienceDirect
cultivation of openness and humility.
How to foster ‘shoshin’ | Psyche Guides
‘In the beginner’s mind there are many possibilities, but in the expert’s there are few.’
How to foster ‘shoshin’ | Psyche Guides
our findings demonstrate that motor augmentation can be readily achieved, with potential for flexible use, reduced cognitive reliance, and increased sense of embodiment. Yet, augmentation may incur changes to the biological hand representation. Such neurocognitive consequences are crucial for successful implementation of future augmentation technologies.
Robotic hand augmentation drives changes in neural body representation | Science Robotics
echo chamber of dualities.
Samuel Joseph Brown, Jr. | Self-Portrait | The Metropolitan Museum of Art
By following the lead of this elegant, playful woman, the film seems to suggest that we too might cultivate our memories through rituals, daydreams and joyful reverie
Angelina | Psyche Films
‘Cognition is beautiful. It’s beautiful to know.’
Notes on blindness | Psyche Films
H01 is thus far the largest sample of brain tissue imaged and reconstructed in this level of detail, in any species, and the first large-scale study of synaptic connectivity in the human cortex that spans multiple cell types across all layers of the cortex.
Google AI Blog: A Browsable Petascale Reconstruction of the Human Cortex
H01 is a petabyte-scale dataset, but is only one-millionth the volume of an entire human brain.
Google AI Blog: A Browsable Petascale Reconstruction of the Human Cortex
Some US neurotechnologies have immediate uses, including fUSI, direct UNM (with some caveats), and US-targeted gene and drug delivery. Others, including biomolecular US, sonogenetics, and US-interacting devices, show promise but need further development.
Ultrasound Technologies for Imaging and Modulating Neural Activity: Neuron
The same properties that make US attractive for neural imaging make it appealing for neuromodulation, including the ability of sound waves to penetrate deep into tissues and achieve high spatiotemporal precision. In addition, the fact that US only needs to travel one way for neuromodulation and is typically used at lower frequencies means that FUS can be applied transcranially, including in humans. Furthermore, FUS has several modes of physical interaction with constituents of biological tissue, depending on their composition and US pulse parameters, including local heating, mechanical force, …
Ultrasound Technologies for Imaging and Modulating Neural Activity: Neuron
US imaging is a pulse-echo technique involving the transmission of brief pulses (“pings” in Figure 1A) of US into tissue and the recording of backscattered echoes from objects and interfaces within the tissue. The relative timing of the transmitted pulses and received signals, transduced by arrays of piezoelectric elements, is used to locate objects in space and form an image. Scattering arises from materials with different density and/or compressibility relative to their surrounding medium, including tissue interfaces, blood cells, and contrast agents (Maresca et al., 2018a).
Ultrasound Technologies for Imaging and Modulating Neural Activity: Neuron
ultrasound readily permeates the brain, and in some cases the skull, and interacts with tissue with a fundamental resolution on the order of 100 μm and 1 ms. This basic ability has motivated major efforts to harness ultrasound as a modality for large-scale brain imaging and modulation. These efforts have resulted in already-useful neuroscience tools, including high-resolution hemodynamic functional imaging, focused ultrasound neuromodulation, and local drug delivery.
Ultrasound Technologies for Imaging and Modulating Neural Activity: Neuron
ultrasound readily permeates the brain, and in some cases the skull, and interacts with tissue with a fundamental resolution on the order of 100 μm and 1 ms. This basic ability has motivated major efforts to harness ultrasound as a modality for large-scale brain imaging and modulation. These efforts have resulted in already-useful neuroscience tools, including high-resolution hemodynamic functional imaging, focused ultrasound neuromodulation, and local drug delivery.
Ultrasound Technologies for Imaging and Modulating Neural Activity: Neuron
I tend to think of the best conversations as explorations (which may help explain the adrenaline rush I get from them *grin*) And, in an exploration, by very nature, we are dependent on each other for input & direction. A challenge, conversely, I see as a battle, where there are more clearly defined winners & losers.
Intellectual Stimulation in Life and Romance – Ben Casnocha
no surprises = no stimulation = boredom = end
Intellectual Stimulation in Life and Romance – Ben Casnocha
What makes someone stimulating and not just smart?
Intellectual Stimulation in Life and Romance – Ben Casnocha
There is a difference between someone who intellectually stimulates you and someone who intellectually challenges you. I know someone is stimulating me if I am developing new theories or evolving current ones. I know someone is challenging me if I must stand corrected with some frequency.
Intellectual Stimulation in Life and Romance – Ben Casnocha
biological materials with outstanding biocompatibility and biodegradability, which are considered some of the most promising candidates for next-generation flexible electronics, have received increasing attention, e.g., silk fibroin, cellulose, pectin, chitosan, and melanin. Among them, silk fibroin presents greater superiorities in biocompatibility and biodegradability, and moreover, it also possesses a variety of attractive properties, such as adjustable water solubility, remarkable optical transmittance, high mechanical robustness, light weight, and ease of processing, which are partially o…
Recent progress in silk fibroin-based flexible electronics | Microsystems & Nanoengineering
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text.
GPT-3
Find out what your values are and stick to them. I wrote my research philosophy on a piece of paper, which is hanging on my wall. I want to do research that helps people and is interesting, and I want to collaborate with nice people. I have used that statement countless times to evaluate whether opportunities are worth taking or not. Go with your gut when you’re recruiting lab members, even if that makes the process take longer. I need to find the right people to work with, so for me, it was worth taking extra time. Beyond research, I’ve discovered that I can’t live more than an hour from the …
Settling in: the first four years of a lab leader
hey say that in art, constraints lead to creativity. The same seems to be true of the universe. By placing limits on nature, the laws of physics squeeze out reality’s most fantastical creations. Limit light’s speed, and suddenly space can shrink, time can slow. Limit the ability to divide energy into infinitely small units, and the full weirdness of quantum mechanics blossoms. “Declaring something impossible leads to more things being possible,” writes the physicist Chiara Marletto. “Bizarre as it may seem, it is commonplace in quantum physics.”
How to Rewrite the Laws of Physics in the Language of Impossibility
Charles Darwin, whose theory of evolution began to close the imagined gap between humans and nature, hinted at the possibility of multispecies solidarity in his 1871 book The Descent of Man. Over generations, he observed, the “sympathies” of Homo sapiens had become “more tender and widely diffused, so as to extend to the men of all races, to the imbecile, the maimed, and other useless members of society, and finally to the lower animals.” (Darwin might have been drawing on the work of his contemporary William Lecky, an Irish historian who conceived of moral evolution as an expanding circle of …
Species Solidarity: Rediscovering Our Connection to the Web of Life - Yale E360
For much of human history, the notion of nature as a collection of things apart was a peculiar idea — not a dominant one.
Species Solidarity: Rediscovering Our Connection to the Web of Life - Yale E360
for those of us in industrialized societies to rediscover that sense of connection — call it solidarity — and one way to start doing so is to drop “nature” from our vocabularies.
Species Solidarity: Rediscovering Our Connection to the Web of Life - Yale E360
sociologist Carrie Friese, a researcher at the London School of Economics, speculates that in this era of intersecting crises, conservationists and others will be more and more motivated by a sense of multispecies solidarity — a profound understanding that, as Rachel Carson warned in 1963, humans are “affected by the same environmental influences that control the lives of all the many thousands of other species.”
Species Solidarity: Rediscovering Our Connection to the Web of Life - Yale E360
“how can we invest in technology that helps our people do their jobs better?” How we use new technologies isn’t set in stone. We make choices about how robots affect our lives and labour markets, and we can learn lessons from the different ways that cultures across the globe view the role of robots.
Robots are animals, not humans | WIRED UK
the former human “scavengers” are still employed; instead of shoveling waste, many are now paid to set up and remotely steer the robots
Robots are animals, not humans | WIRED UK
Machines have subbed in for all sorts of human activity for centuries. Much of it is the type of dirty, dull, and dangerous work that we don’t want people to do.
Robots are animals, not humans | WIRED UK
To borrow from computer scientist Andrew Ng, worrying about artificial superintelligence taking over is akin to worrying about over-population on Mars. Plus, as tech entrepreneur Maciej Cegłowski notes, there’s also the question of motivation: why would something “smarter” – whatever that means – want to destroy us, as so many fear? “For all we know, human-level intelligence could be a tradeoff. Maybe any entity significantly smarter than a human being would be crippled by existential despair, or spend all its time in Buddha-like contemplation. Or maybe it would become obsessed with the risk o…
Robots are animals, not humans | WIRED UK
According to Takeo Kanade, a leading computer vision expert at Carnegie Mellon University, “if you think it’s easy for you to do, most of the time it’s very difficult for robots to do.” Or as Janelle Shane says, “Humans have a sneaky habit of doing broad tasks without even realising it.” We’re able to multitask, context-switch and handle unexpected situations with an ease that’s currently inconceivable for machines. And, as computer scientist Mark Lee points out: “Despite 60 years of research and theorising, general purpose AI has not made any progress worth mentioning, and this could even tur…
Robots are animals, not humans | WIRED UK
There’s no question that we will continue to see industry disruptions as robotic technology develops, but in our mainstream narratives, we’re leaning too hard on the idea that robots are a one-to-one replacement for humans. Despite the AI pioneers’ original goal of recreating human intelligence, our current robots are fundamentally different. They’re not less-developed versions of us that will eventually catch up as we increase their computing power; like animals, they have a different type of intelligence entirely.
Robots are animals, not humans | WIRED UK
The animal world contains a wide variety of different talents, many of which exceed human abilities. Yet when it comes to robots and AI, we’re hung up on a very specific type of intelligence and skill: our own.
Robots are animals, not humans | WIRED UK
We’re poised to see more transformations as we integrate our new breed: robots.
Robots are animals, not humans | WIRED UK
Animals haven’t replaced people but instead have become powerful tools that enable us to work differently, whether by pulling our plows, going to space, or ensuring that our beer is delicious. In fact, animals have made such a difference in what we’re able to do that their integration into our processes has catalyzed fundamental changes to our cultures, economies and societies as a whole.
Robots are animals, not humans | WIRED UK