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Introduction to Neural Networks
Introduction to Neural Networks

... Definition of Neural Networks • An information processing system that has been developed as a generalization of mathematical models of human cognition or neurobiology, based on the assumptions that – Information processing occurs at many simple elements called neurons. – Signals are passed between ...
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Behavioural and electrophysiological studies of learning, memory and long-term potentiation.

... Long‐term  potentiation  (LTP)  is  a  form  of  synaptic  plasticity  widely  assumed  to  be  involved  in  learning  and  memory.  However,  LTP  is  a  phenomenon  generated  by  electrical  stimulation  of  brain  pathways  and  learning  and  memory  result  from  physiological  activation  of ...
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Learning, Memory and Perception.
Learning, Memory and Perception.

... tools to manipulate the state of neurons using light, may allow some of these hypotheses to be better tested. While neural representations are our way to describe the neuronal substrates of percepts (for example, a rabbit, a child’s voice, the smell of burning toast), they would be meaningless if i ...
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The Human brain

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AP Psychology Type III CA 1 Fall Pre-Test
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Learning and the Brain - Santa Clara County Office of

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... moves your finger? You experience your intention, but does it exist in the same sense as your body? Probably not: your finger, your body, is part of material reality—objective, observable by all. In contrast, your intention, your mind, is subjective, private by definition—apparently, not part of mat ...
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05/01 --- The Human Brain Project

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Holonomic brain theory

The holonomic brain theory, developed by neuroscientist Karl Pribram initially in collaboration with physicist David Bohm, is a model of human cognition that describes the brain as a holographic storage network. Pribram suggests these processes involve electric oscillations in the brain's fine-fibered dendritic webs, which are different from the more commonly known action potentials involving axons and synapses. These oscillations are waves and create wave interference patterns in which memory is encoded naturally, and the waves may be analyzed by a Fourier transform. Gabor, Pribram and others noted the similarities between these brain processes and the storage of information in a hologram, which can also be analyzed with a Fourier transform. In a hologram, any part of the hologram with sufficient size contains the whole of the stored information. In this theory, a piece of a long-term memory is similarly distributed over a dendritic arbor so that each part of the dendritic network contains all the information stored over the entire network. This model allows for important aspects of human consciousness, including the fast associative memory that allows for connections between different pieces of stored information and the non-locality of memory storage (a specific memory is not stored in a specific location, i.e. a certain neuron).
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