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  • We calculate the information capacity-achieving conditions and their approximations in a simple neuronal system. We demonstrate, that optimal information transfer can be near-achieved by a number of different input distributions, thus the precise structure of the capacity-achieving input is of lesser importance than the value of capacity
  • We calculate the information capacity-achieving conditions and their approximations in a simple neuronal system. We demonstrate, that optimal information transfer can be near-achieved by a number of different input distributions, thus the precise structure of the capacity-achieving input is of lesser importance than the value of capacity (en)
Title
  • Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons
  • Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons (en)
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  • Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons
  • Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons (en)
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  • RIV/67985823:_____/13:00392598!RIV14-GA0-67985823
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  • RIV/67985823:_____/13:00392598
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  • information capacity; metabolic cost; neuronal population (en)
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  • 112
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  • Lánský, Petr
  • Košťál, Lubomír
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  • 000320826600011
issn
  • 0303-2647
number of pages
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  • 10.1016/j.biosystems.2013.03.019
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