Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Action Editor: Barry Richmond
Randomly-connected networks of integrate-and-fire (IF) neurons are known to display asynchronous irregular (AI) activity states, which resemble the discharge activity recorded in the cerebral cortex of awake animals. However, it is not clear whether such activity states are specific to simple IF models, or if they also exist in networks where neurons are endowed with complex intrinsic properties similar to electrophysiological measurements. Here, we investigate the occurrence of AI states in networks of nonlinear IF neurons, such as the adaptive exponential IF (Brette-Gerstner-Izhikevich) model. This model can display intrinsic properties such as low-threshold spike (LTS), regular spiking (RS) or fast-spiking (FS). We successively investigate the oscillatory and AI dynamics of thalamic, cortical and thalamocortical networks using such models. AI states can be found in each case, sometimes with surprisingly small network size of the order of a few tens of neurons. We show that the presence of LTS neurons in cortex or in thalamus, explains the robust emergence of AI states for relatively small network sizes. Finally, we investigate the role of spike-frequency adaptation (SFA). In cortical networks with strong SFA in RS cells, the AI state is transient, but when SFA is reduced, AI states can be self-sustained for long times. In thalamocortical networks, AI states are found when the cortex is itself in an AI state, but with strong SFA, the thalamocortical network displays Up and Down state transitions, similar to intracellular recordings during slow-wave sleep or anesthesia. Self-sustained Up and Down states could also be generated by two-layer cortical networks with LTS cells. These models suggest that intrinsic properties such as adaptation and low-threshold bursting activity are crucial for the genesis and control of AI states in thalamocortical networks.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Avendaño, C., Rausell, E., & Reinoso-Suarez, F. (1985). Thalamic projections to areas 5a and 5b of the parietal cortex in the cat: A retrograde horseradish peroxidase study. Journal of Neuroscience, 5, 1446–1470. PubMed
Baranyi, A., Szente, M. B., & Woody, C. D. (1993a). Electrophysiological characterization of different types of neurons recorded in vivo in the motor cortex of the cat. I. Patterns of firing activity and synaptic responses. Journal of Neurophysiology, 69, 1850–1864. PubMed
Baranyi, A., Szente, M. B., & Woody, C. D. (1993b). Electrophysiological characterization of different types of neurons recorded in vivo in the motor cortex of the cat. II. Membrane parameters, action potentials, current-induced voltage responses and electrotonic structures. Journal of Neurophysiology, 69, 1865–1879. PubMed
Braitenberg, V., & Schüz, A. (1998). Cortex: Statistics and geometry of neuronal connectivity (2nd ed.). Berlin: Springer.
Cessac, B., & Viéville, T. (2009). On dynamics of integrate-and-fire neural networks with conductance based synapses. Frontiers of Computer Neuroscience, 3, 1.
Contreras, D., & Steriade, M. (1995). Cellular basis of EEG slow rhythms: A study of dynamic corticothalamic relationships. Journal of Neuroscience, 15, 604–622. PubMed
Contreras, D., Timofeev, I., & Steriade, M. (1996). Mechanisms of long lasting hyperpolarizations underlying slow sleep oscillations in cat corticothalamic networks. Journal of Physiology, 494, 251–264. PubMed
de la Peña, E., & Geijo-Barrientos, E. (1996). Laminar organization, morphology and physiological properties of pyramidal neurons that have the low-threshold calcium current in the guinea-pig frontal cortex. Journal of Neuroscience, 16, 5301–5311. PubMed
Destexhe, A. (2007). High-conductance state. Scholarpedia, 2(11), 1341. http://www.scholarpedia.org/article/High-Conductance_State
Destexhe, A., Contreras, D., & Steriade, M. (1998). Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells. Journal of Neurophysiology, 79, 999–1016. PubMed
Destexhe, A., Contreras, D., & Steriade, M. (2001). LTS cells in cerebral cortex and their role in generating spike-and-wave oscillations. Neurocomputing, 38, 555–563. CrossRef
Destexhe, A., & Paré, D. (1999). Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. Journal of Neurophysiology, 81, 1531–1547. PubMed
Destexhe, A., & Sejnowski, T. J. (2003). Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. Physiological Reviews, 83, 1401–1453. PubMed
El Boustani, S., Pospischil, M., Rudolph-Lilith, M., & Destexhe, A. (2007). Activated cortical states: Experiments, analyses and models. Journal of Physiology (Paris), 101, 99–109. CrossRef
Fourcaud-Trocme, N., Hansel, D., van Vreeswijk, C., & Brunel, N. (2003). How spike generation mechanisms determine the neuronal response to fluctuating inputs. Journal of Neuroscience, 23, 11628–11640. PubMed
Jones, E. G. (1985). The thalamus. New York: Plenum.
Matsumura, M., Cope, T., & Fetz, E. E. (1988). Sustained excitatory synaptic input to motor cortex neurons in awake animals revealed by intracellular recording of membrane potentials. Experimental Brain Research, 70, 463–469. CrossRef
Minderhoud, J. M. (1971). An anatomical study of the efferent connections of the thalamic reticular nucleus. Experimental Brain Research, 112, 435–446.
Paré, D., Shink, E., Gaudreau, H., Destexhe, A., & Lang, E. J. (1998). Impact of spontaneous synaptic activity on the resting properties of cat neocortical neurons in vivo. Journal of Neurophysiology, 79, 1450–1460. PubMed
Rausell, E., & Jones, E. G. (1995). Extent of intracortical arborization of thalamocortical axons as a determinant of representational plasticity in monkey somatic sensory cortex. Journal of Neuroscience, 15, 4270–4288. PubMed
Sanchez-Vives, M. V., & McCormick, D. A. (2000). Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nature Neuroscience, 10, 1027–1034.
Sherman, S. M., & Guillery, R. W. (2001). Exploring the thalamus. New York: Academic.
Smith, G. D., Cox, C. L., Sherman, M. & Rinzel, J. (2000). Fourier analysis of sinusoidally driven thalamocortical relay neurons and a minimal integrate-and-fire-or-burst model. Journal of Neurophysiology, 83, 588–610. PubMed
Steriade, M. (2003). Neuronal substrates of sleep and epilepsy. Cambridge: Cambridge University Press.
Steriade, M., Amzica, F., & Nunez, A. (1993a). Cholinergic and noradrenergic modulation of the slow (~0.3 Hz) oscillation in neocortical cells. Journal of Neurophysiology, 70, 1384–1400.
Steriade, M., Deschênes, M., Domich, L., & Mulle, C. (1985). Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami. Journal of Neurophysiology, 54, 1473–1497. PubMed
Steriade, M., Nunez, A., & Amzica, F. (1993b). Intracellular analysis of relations between the slow (< 1 Hz) neocortical oscillation and other sleep rhythms of the electroencephalogram. Journal of Neuroscience, 13, 3266–3283. PubMed
Steriade, M., Timofeev, I., & Grenier, F. (2001). Natural waking and sleep states: A view from inside neocortical neurons. Journal of Neurophysiology, 85, 1969–1985. PubMed
Tél, T., & Lai, Y.-C. (2008). Chaotic transients in spatially extended systems. Physics Reports, 460, 245–275. CrossRef
von Krosigk, M., Bal, T., & McCormick, D. A. (1993). Cellular mechanisms of a synchronized oscillation in the thalamus. Science, 261, 361–364. CrossRef
White, E. L. (1986). Termination of thalamic afferents in the cerebral cortex. In E. G. Jones & A. Peters (Eds.), Cerebral cortex (Vol. 5, pp. 271–289). New York: Plenum.
Zillmer, R., Livi, R., Politi, A., & Torcini, A. (2006). Desynchronization in diluted neural networks. Physical Review E, 74, 036203. CrossRef
- Self-sustained asynchronous irregular states and Up–Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons
- Springer US
Neuer Inhalt/© ITandMEDIA, Product Lifecycle Management/© Eisenhans | vege | Fotolia