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Single-unit recording
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101	PRL 94, [removed]PHYSICAL REVIEW LETTERS week ending 18 MARCH 2005 Add to Reading List Source URL: www.cnbc.cmu.edu Language: English - Date: 2005-03-28 14:06:08 Computational neuroscience Nervous system Neural networks Neurophysiology Neuron Single-unit recording Action potential Visual cortex Correlation coding Neuroscience Biology Neural coding
102	J Comput Neurosci DOI[removed]s10827[removed]Local field potentials indicate network state and account for neuronal response variability Ryan C. Kelly · Matthew A. Smith · Add to Reading List Source URL: www.cnbc.cmu.edu Language: English - Date: 2010-03-10 15:10:26 Electrophysiology Nervous system Computational neuroscience Neural networks Neural coding Neural oscillation Single-unit recording Local field potential Neuron Biology Neurophysiology Neuroscience
103	JOURNAL OF NANO- AND ELECTRONIC PHYSICS Vol. 6 No 1, 01011(7pp[removed]) ЖУРНАЛ НАНО- ТА ЕЛЕКТРОННОЇ ФІЗИКИ Том 6 № 1, 01011(7cc[removed]) Add to Reading List Source URL: jnep.sumdu.edu.ua Language: English - Date: 2014-04-10 08:34:39 Dielectric spectroscopy Electrochemistry Spectroscopy Capacitance Capacitor Capacitive sensing Single-unit recording Physics Electromagnetism Science
104	JOURNAL OF NANO- AND ELECTRONIC PHYSICS Vol. 6 No 1, 01011(7pp[removed]) ЖУРНАЛ НАНО- ТА ЕЛЕКТРОННОЇ ФІЗИКИ Том 6 № 1, 01011(7cc[removed]) Add to Reading List Source URL: jnep.sumdu.edu.ua Language: English - Date: 2014-04-10 08:34:08 Dielectric spectroscopy Electrochemistry Spectroscopy Capacitance Capacitor Capacitive sensing Single-unit recording Physics Electromagnetism Science
105	The Journal of Undergraduate Neuroscience Education (JUNE), Spring 2014, 12(2):A140-A149 ARTICLE Application of a spike sorting procedure to analyze recordings in the crayfish ventral superficial flexor preparation: A h Add to Reading List Source URL: www.funjournal.org Language: English - Date: 2014-03-13 06:11:00 Nervous system Action potential Neuron Excitatory postsynaptic potential Inhibitory postsynaptic potential Single-unit recording Neural oscillation Postsynaptic potential Chemical synapse Biology Neuroscience Neurophysiology
106	8570 • The Journal of Neuroscience, June 8, 2011 • 31(23):8570 – 8584 Behavioral/Systems/Cognitive Synchrony Makes Neurons Fire in Sequence, and Stimulus Properties Determine Who Is Ahead Add to Reading List Source URL: www.danko-nikolic.com Language: English - Date: 2011-09-14 15:03:10 Neurophysiology Computational neuroscience Neural coding Neural networks Peristimulus time histogram Neuron Visual cortex Action potential Single-unit recording Neuroscience Biology Nervous system
107	Neuron, Vol. 31, 155–165, July 19, 2001, Copyright 2001 by Cell Press I Know What You Are Doing: A Neurophysiological Study M.A. Umilta`,2 E. Kohler,2 V. Gallese,2 L. Fogassi,1,2 L. Fadiga,2 C. Keysers,2 Add to Reading List Source URL: www.unipr.it Language: English - Date: 2003-10-29 06:29:11 Nervous system Motor control Neurophysiology Cognitive science Mirror neuron Neuron Single-unit recording Neural oscillation Brain Neuroscience Biology Mind
108	Cognitive Science Online, Vol.1, pp.34–45, 2003 http://cogsci-online.ucsd.edu Blending in action: Diagrams reveal conceptual integration in Add to Reading List Source URL: cogsci-online.ucsd.edu Language: English - Date: 2003-08-18 20:32:59 Neuroscience Brain-computer interfacing Electrodiagnosis Medicine Emerging technologies Electroencephalography Reference electrode Single-unit recording Neurophysiology Biology Electrophysiology
109	Journal of Neuroscience Methods[removed] /152 www.elsevier.com/locate/jneumeth Tetrode technology: advances in implantable hardware, neuroimaging, and data analysis techniques M.S. Jog a, C.I. Connolly b, Y. Kubot Add to Reading List Source URL: web.mit.edu Language: English - Date: 2013-06-13 13:47:42 Statistics Nervous system Vacuum tubes Neuroscience Tetrode Spike sorting Single-unit recording Cluster analysis Neurophysiology Electrophysiology Biology
110	PhD-Position “Local Balance in Neuronal Networks” Biomicrotechnology lab – Prof. Ulrich Egert Neuronal networks with inhomogeneous connectivity have been suggested to be more robust against saturation and excessive Add to Reading List Source URL: www.bcf.uni-freiburg.de Language: English - Date: 2013-02-20 05:17:09 Cybernetics University of Freiburg Cognitive neuroscience Biology Computational neuroscience Single-unit recording Neural networks Neuroscience Neurophysiology Nervous system

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