Analog Computing, Bio hacking, Biological Computation, Biology, Biometrics, Brain, Cybernetics, DNA, Science

Mind-controlled transgene expression by a wireless-powered optogenetic designer cell implant

“Mammalian synthetic biology has significantly advanced the design of gene switches that are responsive to traceless cues such as light, gas and radio waves, complex gene circuits, including oscillators, cancer-killing gene classifiers and programmable biocomputers, as well as prosthetic gene networks that provide treatment strategies for gouty arthritis, diabetes and obesity. Akin to synthetic biology promoting prosthetic gene networks for the treatment of metabolic disorders, cybernetics advances the design of functional man–machine interfaces in which brain–computer interfaces (BCI) process brain waves to control electromechanical prostheses, such as bionic extremities and even wheel chairs. The advent of synthetic optogenetic devices that use power-controlled, light-adjustable therapeutic interventions18 will enable the merging of synthetic biology with cybernetics to allow brain waves to remotely control the transgene expression and cellular behaviour in a wireless manner.”


Anthropology, Biology, Biometrics, Brain, Education, History, Medicine, Neural Networks, Optics, PDF, Science

The Optics of Ibn Al-Haytham, Books I–III: On Direct Vision (c1028-38)

“This is the first English translation of first three out of the 7 volumes of the fundamental work on optics by the medieval Arab scientist Ibn al-Haitham or Alhazen (965–c1039). His book exerted a great influence upon science through Vitelo, Roger Bacon, Peckham and Kepler. Alhazen investigated many particular cases of reflection and refraction, and drew attention to the light-ray’s property of retracing its path when reversed. He was the first to give a detailed description of the human eye and to study binocular vision. Certain ophthalmological terms originated from the Latin translation of Alhazen’s Arabic text, e.g. retina and cornea. The Book of Optics (Kitāb al-Manāẓir, كتاب المناظر) presented experimentally founded arguments against the widely held extramission theory of vision (as held by Euclid in his Optica) and in favour of intromission theory, as supported by thinkers such as Aristotle, the now accepted model that vision takes place by light entering the eye.”


Art, Biology, Biometrics, Brain, Education, Mind, Psychology, Science, Society

Secrets of the Creative Brain

“Part of what comes with seeing connections no one else sees is that not all of these connections actually exist. “Everybody has crazy things they want to try,” that same subject told me. “Part of creativity is picking the little bubbles that come up to your conscious mind, and picking which one to let grow and which one to give access to more of your mind, and then have that translate into action.””


AI, Animals, Brain, Emergence, Ethics, philosophy, Religion, Robots, Science, Society

Buddhist perspectives on AI

“From the viewpoint of Buddhism, all life is emergent, entities functioning at a capacity greater than the sum of their parts. There is no special qualifier that separates any form of intelligence from another (note that even consciousness is on the list of things that we aren’t.”. This means that an intelligence inside of a robot body, a computer, or existing on the Internet would be just as worthy of being considered “alive” as a squirrel, a human, or a bacteria. Further, Buddhism accepts the existence of life that does not have a physical body. In the Buddhist mythology, beings that exist in realms without physical bodies are described and treated the same as those with physical bodies. Although this ethic is ascribed to mythical beings, if we begin to see actual beings that exist in “formless realms”, most Buddhists would likely see no problem accepting them as living. In Buddhism, a computer intelligence would be viewed by most as a new form of life, but one equally possessed of the heaps and equally capable of emergent behavior and enlightenment. The Dalai Lama, Thich Nhat Hanh, and several other high profile Buddhist thinkers have already spoken in support of AI as a living being.”


Architecture, Art, Biology, Biometrics, Brain, Capitalism, Economy, Education, History, Mathematics, Medicine, Nature, philosophy, Psychology, Science, Society

Kantian Legacy in Nineteenth Century Science

“The book examines Kant’s influence on five strands of nineteenth-century scientific thought: Naturphilosophie and the effect of German Romanticism (especially Goethe) on biology; Fries’s philosophy of science; Helmholtz’s rejection of Naturphilosophie and Romanticism; neo-Kantianism and its return to “methodological” concerns in natural science and academic philosophy; and Poincaré and his reflections on scientific epistemology. The essays give a nuanced picture of Kant’s legacy to nineteenth-century thinkers and of the rich interaction between philosophical ideas and discoveries in the natural and mathematical sciences during this period. They point to the ways that the scientific developments of the nineteenth century link Kant’s thought to the science of the twentieth century.”


Algorithm, Automata, Biological Computation, Brain, Code, Interface, Logic, Mathematics, Neural Networks, PDF, Science

Water Memory

“This paper demonstrates that the waves produced on the surface of water can be used as the medium for a “Liquid State Machine” that pre-processes inputs so allowing a simple perceptron to solve the XOR problem and undertake speech recognition. Interference between waves allows non-linear parallel computation upon simultaneous sensory inputs. Temporal patterns of stimulation are converted to spatial patterns of water waves upon which a linear discrimination can be made. Whereas Wolfgang Maass’ Liquid State Machine requires fine tuning of the spiking neural network parameters, water has inherent self-organising properties such as strong local interactions, time-dependent spread of activation to distant areas, inherent stability to a wide variety of inputs, and high complexity. Water achieves this “for free”, and does so without the time-consuming computation required by realistic neural models. An analogy is made between water molecules and neurons in a recurrent neural network.”

Animals, Biology, Biometrics, DNA, Economy, Education, Nature, Neural Networks, Science, Social intelligence, Society

Twittering bacteria: on bacteria… social intelligence

“New research suggests that microbial life can be even richer: highly social, intricately networked, and teeming with interactions [47]. Bassler [3] and other researchers have determined that bacteria communicate using molecules comparable to pheromones. By tapping into this cell-to-cell network, microbes are able to collectively track changes in their environment, conspire with their own species, build mutually beneficial alliances with other types of bacteria, gain advantages over competitors, and communicate with their hosts – the sort of collective strategizing typically ascribed to bees, ants, and people, not to bacteria. Eshel Ben-Jacob [6] indicate that bacteria have developed intricate communication capabilities (e.g. quorum-sensing, chemotactic signalling and plasmid exchange) to cooperatively self-organize into highly structured colonies with elevated environmental adaptability, proposing that they maintain linguistic communication. Meaning-based communication permits colonial identity, intentional behavior (e.g. pheromone-based courtship for mating), purposeful alteration of colony structure (e.g. formation of fruiting bodies), decision-making (e.g. to sporulate) and the recognition and identification of other colonies – features we might begin to associate with a bacterial social intelligence.”