Temporal Coding in the BrainG. Buzsaki, R. Llinas, W. Singer, A. Berthoz, Y. Christen Springer Berlin Heidelberg, 23 авг. 1994 г. - Всего страниц: 303 Temporal coding in the brain documents a revolution now occurring in the neurosciences. How does parallel processing of information bind together the complex nature of the outer and our inner worlds? Do intrinsic oscillations and transient cooperative states of neurons represent the physiological basis of cognitive and motor functions of the brain? Some answers to these challenging issues are provided in this book by leading world experts of brain function. A common denominator of the works presented in this volume is the nature and mechanisms of neuronal cooperation in the temporal domain. The topics range from simple organisms to the human brain. The volume is intended for investigators and graduate students in neurophysiology, cognitive neuroscience, neural computation and neurology. |
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Стр. 107
... trains , and only during these ẞ trains ( Fig . 3 , A1 ) . Super- imposing the minima of the successive waves of a ẞ train showed that the corresponding spikes were grouped ( Fig . 3 , A2 ) . With another cell , we per- formed wave ...
... trains , and only during these ẞ trains ( Fig . 3 , A1 ) . Super- imposing the minima of the successive waves of a ẞ train showed that the corresponding spikes were grouped ( Fig . 3 , A2 ) . With another cell , we per- formed wave ...
Стр. 109
... trains . Moreover , the 40 Hz oscillations in CL were continuous , contrasting with the POm cells that were rhythmic at 40 Hz only during the cortical ẞ trains . Finally CL neuron activity was controlled by cholinergic structures ...
... trains . Moreover , the 40 Hz oscillations in CL were continuous , contrasting with the POm cells that were rhythmic at 40 Hz only during the cortical ẞ trains . Finally CL neuron activity was controlled by cholinergic structures ...
Стр. 225
... trains , we require the use of the discrete Fourier transform with the two associated problems of 1 ) the variance inherent in the estimate of the discrete power spectrum and 2 ) aliasing due to a finite sampling interval . We perform ...
... trains , we require the use of the discrete Fourier transform with the two associated problems of 1 ) the variance inherent in the estimate of the discrete power spectrum and 2 ) aliasing due to a finite sampling interval . We perform ...
Содержание
Chaotic Oscillations and the Genesis of Meaning in Cerebral Cortex | 13 |
Krosigk M | 15 |
Abeles M | 35 |
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Temporal Coding in the Brain G. Buzsaki,R. Llinas,W. Singer,A. Berthoz,Y. Christen Ограниченный просмотр - 2012 |
Temporal Coding in the Brain G. Buzsaki,R. Llinas,W. Singer,A. Berthoz,Y. Christen Недоступно для просмотра - 2012 |
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action potentials activity amplitude analysis appear assemblies associated attention average behavior brain burst Buzsáki changes coding coherent computed connections correlation cortical dependent depolarization described direction discharge distributed dynamic effect et al excitation excitatory field Figure firing Freeman frequency function Gray groups hippocampal increase indicate input interval intrinsic layer mechanism membrane modulation monkey movements msec nature neural neurons Neurophysiol Neurosci nucleus observed occur oscillations oscillatory patterns peak period phase Physiol potential present properties pyramidal cells range receptors recorded region relay responses reticular rhythmic rhythms role selected sensory shown signal significant similar simultaneously Singer single sleep slices slow spatial spectrum spikes spindle Steriade stimulus structure studies suggest synaptic synchronization temporal thalamic thalamocortical theta threshold trains unit visual cortex waves