linkedin post 2021-05-11 04:54:42

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BLACK HOLES AND BRAINS. “In this paper we shall attempt to take one more step and try to see if a neural network can possess some additional informational characteristics that are usually considered to be the defining properties of black holes, such as the Bekenstein's area law entropy.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-11 04:53:25

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GAPLESS NEURONS. “Instead of storing patterns in the local minima of the energy function, as, for example, in usual treatments of the Hopfield model, the enhanced memory points can be identified among the highly excited critical states, where set of neurons becomes gapless.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-12 03:18:56

linkedin post 2021-05-12 03:18:56

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MULTIPLEXED BRAINS. “We proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains." https://www.nature.com/articles/srep11869 View in LinkedIn
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linkedin post 2021-05-14 03:52:36

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VERY INTERESTING DEDUCTION. “This guideline is telling us that with the black hole analogy, we need to look for a state of high memory storage capacity among the states in which some of the low‐threshold neurons are highly excited, i.e., corresponding quantum oscillators have the high occupation numbers.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-14 03:51:26

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THE TRAIN OF THOUGHT. “Next, we need to come up with some rough guideline telling us for what type of states we should be looking for in the neural network.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-14 03:50:31

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HOW A PHYSICIST SEES BIOLOGY. “Thus, in order to imitate gravity‐like connections among the neurons, we shall make the synaptic connection among the two neurons k and r negative (excitatory) and moreover proportional to the product of their threshold energies.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-14 03:49:22

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VIEW OF THE NEURON. “Now, the gravitational interaction among the particle modes is attractive and its strength is set by their energies.” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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linkedin post 2021-05-14 03:46:59

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SYNAPTIC CONNECTIONS. “When it is energetically favorable for the two neurons k and r to simultaneously be in the excited states, we shall call the synaptic connection excitatory in the energetic sense. Correspondingly, in the opposite case we refer to the connection as inhibitory. For the quantum field this translates as the interaction energy between the two modes k and j being negative (attractive) or positive (repulsive).” https://onlinelibrary.wiley.com/doi/full/10.1002/prop.201800007?casa_token=GdPRXs_tGLEAAAAA%3Ag-pxPMtkcleTYDUNK3mYGfpEzKRyc2LqQknTgFFB7dkYFDL8rDe2s0f4_0Q0oKjXD4_AEgFPGWolVTQ View in LinkedIn
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