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13 in total

1. Development and plasticity of spontaneous activity and Up states in cortical organotypic slices.

Authors: Hope A Johnson; Dean V Buonomano
Journal: J Neurosci Date: 2007-05-30 Impact factor: 6.167

2. Robust emergence of small-world structure in networks of spiking neurons.

Authors: Hoi Fei Kwok; Peter Jurica; Antonino Raffone; Cees van Leeuwen
Journal: Cogn Neurodyn Date: 2007-03 Impact factor: 5.082

3. Suppression of cortical neural variability is stimulus- and state-dependent.

Authors: Benjamin White; L F Abbott; József Fiser
Journal: J Neurophysiol Date: 2012-08-15 Impact factor: 2.714

Review 4. Chaos breeds autonomy: connectionist design between bias and baby-sitting.

Authors: Cees van Leeuwen
Journal: Cogn Process Date: 2007-10-09

5. Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes.

Authors: Justin L Shobe; Leslie D Claar; Sepideh Parhami; Konstantin I Bakhurin; Sotiris C Masmanidis
Journal: J Neurophysiol Date: 2015-07-01 Impact factor: 2.714

6. Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity.

Authors: Anubhuti Goel; Dean V Buonomano
Journal: J Neurophysiol Date: 2013-01-16 Impact factor: 2.714

Spontaneous activity: signal or noise?

1. Development and plasticity of spontaneous activity and Up states in cortical organotypic slices.

2. Robust emergence of small-world structure in networks of spiking neurons.

3. Suppression of cortical neural variability is stimulus- and state-dependent.

Review 4. Chaos breeds autonomy: connectionist design between bias and baby-sitting.

5. Brain activity mapping at multiple scales with silicon microprobes containing 1,024 electrodes.

6. Chronic electrical stimulation homeostatically decreases spontaneous activity, but paradoxically increases evoked network activity.

7. Analysis of spontaneous and nerve-evoked calcium transients in intact extraocular muscles in vitro.

8. Neuronal oscillations enhance stimulus discrimination by ensuring action potential precision.

9. Stochastic differential equation model for cerebellar granule cell excitability.

10. Channel based generating function approach to the stochastic Hodgkin-Huxley neuronal system.