Living Systems |
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Page 122
... refractory period or " dead time " & before another marker can be processed . In neurons & can be as brief as 1 millisecond ( ms ) . In systems at higher levels it is usually longer , often much longer . The refractory period limits the ...
... refractory period or " dead time " & before another marker can be processed . In neurons & can be as brief as 1 millisecond ( ms ) . In systems at higher levels it is usually longer , often much longer . The refractory period limits the ...
Page 132
... refractory period is much longer than the refractory period of cells , which ranges between 0.4 and 20 ms . Since a human being's information processing is carried out by a network of neurons with refractory periods , connected at ...
... refractory period is much longer than the refractory period of cells , which ranges between 0.4 and 20 ms . Since a human being's information processing is carried out by a network of neurons with refractory periods , connected at ...
Page 263
... refractory period that lasts from 0.4 to 3 ms in different types of neu- rons . Then it becomes relatively refractory for 10 to 20 ms or more , requiring for the production of a pulse an input which is much more intense than normal ...
... refractory period that lasts from 0.4 to 3 ms in different types of neu- rons . Then it becomes relatively refractory for 10 to 20 ms or more , requiring for the production of a pulse an input which is much more intense than normal ...
Contents
CHAPTER TWO to here | 5 |
CHAPTER THREE | 51 |
CHAPTER FOUR | 89 |
Copyright | |
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abstracting acid activity adjustment processes amino acids animals average axon behavior bits per second blood boundary brain cell membrane cellular cerebral cortex cesses changes channel capacity chemical complex cortex cross-level curves cytoplasm decoding decrease echelon encoding energy ensemble environment enzyme error Example experimental experiments extruder fibers filtering function higher hormones human HYPOTHESIS increased information input information input overload information output information processing information theory Input in bits input rate input transducer internal transducer living systems markers mation matter-energy median memory ment messages microtubules mitochondria mitosis molecules motor nerve nervous system neural neurons nucleus occur omission organelles organism level output rate output transducer percent produced protein Psychol pulses queuing rate of information reaction receptor cells refractory period Reprinted by permission response sensory signals similar species storage stored structure subjects substances suprasystem synapses synthesis theory tion tissue transmission transmitted types variables various