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the phase-space dynamics of systems of spiking neurons
the phase-space dynamics of systems of spiking neurons

... Science remained out of favor until the beginning of the Renaissance. In 1543 Andreas Vesalius published De Humani Corporis Fabrica that helped correct numerous misconceptions about the human anatomy that had prevailed for fifteen hundred years. The 1641 publication of René Descartes’ Meditationes ...
Chapter 122: Neurocircuitry Of Parkinson`s Disease
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... Malenka, 2005), which are released from MSNs and exert apparent presynaptic effects (Yin and Lovinger, 2006) that may account for some of the reported actions of dopamine on synaptic vesicle cycling (Bamford et al., 2004; Bamford et al., 2008). LTD at Excitatory Synapses on MSNs High-frequency stimu ...
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... Permission granted to reproduce for educational use only. ...
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... • The rods are responsible for the detection of dim light, whereas the cones mediate color vision • The retina output originates in the ganglion cells • The visual stimulus is transmitted from photoreceptor cells to the ganglion cells via an intricate network of interneurons ...
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Feature detection (nervous system)

Feature detection is a process by which the nervous system sorts or filters complex natural stimuli in order to extract behaviorally relevant cues that have a high probability of being associated with important objects or organisms in their environment, as opposed to irrelevant background or noise. Feature detectors are individual neurons – or groups of neurons – in the brain which code for perceptually significant stimuli. Early in the sensory pathway feature detectors tend to have simple properties; later they become more and more complex as the features to which they respond become more and more specific. For example, simple cells in the visual cortex of the domestic cat (Felis catus), respond to edges – a feature which is more likely to occur in objects and organisms in the environment. By contrast, the background of a natural visual environment tends to be noisy – emphasizing high spatial frequencies but lacking in extended edges. Responding selectively to an extended edge – either a bright line on a dark background, or the reverse – highlights objects that are near or very large. Edge detectors are useful to a cat, because edges do not occur often in the background “noise” of the visual environment, which is of little consequence to the animal.
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