BeMent SL, Wise KD, Anderson DJ, Najafi K, Drake KL. (1986). Solid-state electrodes for multichannel multiplexed intracortical neuronal recording. IEEE transactions on bio-medical engineering. 33 [PubMed]
Bower JM, Woolston DC. (1983). Congruence of spatial organization of tactile projections to granule cell and Purkinje cell layers of cerebellar hemispheres of the albino rat: vertical organization of cerebellar cortex. Journal of neurophysiology. 49 [PubMed]
Buzsaki G. (2006). Rhythms of the Brain.
Buzsáki G. (2004). Large-scale recording of neuronal ensembles. Nature neuroscience. 7 [PubMed]
Buzsáki G, Anastassiou CA, Koch C. (2012). The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes. Nature reviews. Neuroscience. 13 [PubMed]
Bédard C, Kröger H, Destexhe A. (2004). Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophysical journal. 86 [PubMed]
Bédard C, Kröger H, Destexhe A. (2006). Model of low-pass filtering of local field potentials in brain tissue. Physical review. E, Statistical, nonlinear, and soft matter physics. 73 [PubMed]
Caton R. (1874). The electric currents of the brain British Medical Journal. 2
Colgin LL et al. (2009). Frequency of gamma oscillations routes flow of information in the hippocampus. Nature. 462 [PubMed]
D'Angelo E et al. (2001). Theta-frequency bursting and resonance in cerebellar granule cells: experimental evidence and modeling of a slow k+-dependent mechanism. The Journal of neuroscience : the official journal of the Society for Neuroscience. 21 [PubMed]
Di S, Baumgartner C, Barth DS. (1990). Laminar analysis of extracellular field potentials in rat vibrissa/barrel cortex. Journal of neurophysiology. 63 [PubMed]
Diwakar S, Lombardo P, Solinas S, Naldi G, D'Angelo E. (2011). Local field potential modeling predicts dense activation in cerebellar granule cells clusters under LTP and LTD control. PloS one. 6 [PubMed]
Diwakar S, Magistretti J, Goldfarb M, Naldi G, D'Angelo E. (2009). Axonal Na+ channels ensure fast spike activation and back-propagation in cerebellar granule cells. Journal of neurophysiology. 101 [PubMed]
ECCLES JC. (1951). Interpretation of action potentials evoked in the cerebral cortex. Electroencephalography and clinical neurophysiology. 3 [PubMed]
Egert U, Heck D, Aertsen A. (2002). Two-dimensional monitoring of spiking networks in acute brain slices. Experimental brain research. 142 [PubMed]
Einevoll GT, Kayser C, Logothetis NK, Panzeri S. (2013). Modelling and analysis of local field potentials for studying the function of cortical circuits. Nature reviews. Neuroscience. 14 [PubMed]
Ferrante M, Blackwell KT, Migliore M, Ascoli GA. (2008). Computational models of neuronal biophysics and the characterization of potential neuropharmacological targets. Current medicinal chemistry. 15 [PubMed]
Gold C, Henze DA, Koch C. (2007). Using extracellular action potential recordings to constrain compartmental models. Journal of computational neuroscience. 23 [PubMed]
Gold C, Henze DA, Koch C, Buzsáki G. (2006). On the origin of the extracellular action potential waveform: A modeling study. Journal of neurophysiology. 95 [PubMed]
Goto T et al. (2010). An evaluation of the conductivity profile in the somatosensory barrel cortex of Wistar rats. Journal of neurophysiology. 104 [PubMed]
Głąbska H, Potworowski J, Łęski S, Wójcik DK. (2014). Independent components of neural activity carry information on individual populations. PloS one. 9 [PubMed]
Hagen E et al. (2015). ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms. Journal of neuroscience methods. 245 [PubMed]
Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV, Hämäläinen M. (1993). Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain Rev. Mod. Phys.. 65
Hartmanis J. (1971). Computational complexity of random access stored program machines. Math. Syst. Theory. 5
Hines ML, Carnevale NT. (1997). The NEURON simulation environment. Neural computation. 9 [PubMed]
Hines ML, Carnevale NT. (2000). Expanding NEURON's repertoire of mechanisms with NMODL. Neural computation. 12 [PubMed]
Hines ML, Morse T, Migliore M, Carnevale NT, Shepherd GM. (2004). ModelDB: A Database to Support Computational Neuroscience. Journal of computational neuroscience. 17 [PubMed]
Holt G. (1998). A Critical Reexamination of Some Assumptions and Implications of Cable Theory in Neurobiology. PhD thesis.
Holt GR, Koch C. (1999). Electrical interactions via the extracellular potential near cell bodies. Journal of computational neuroscience. 6 [PubMed]
Hu W et al. (2009). Distinct contributions of Na(v)1.6 and Na(v)1.2 in action potential initiation and backpropagation. Nature neuroscience. 12 [PubMed]
Jaeger D et al. (2012). The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience Twenty First Annual Computational Neuroscience Meeting: CNS*2012. 13(Suppl 1)
Johnston D, Wu SMS. (1995). Foundations of Cellular Neurophysiology with simulations and illustrations by Richard Gray Foundations of Cellular Neurophysiology.
Kandel A, Buzsáki G. (1997). Cellular-synaptic generation of sleep spindles, spike-and-wave discharges, and evoked thalamocortical responses in the neocortex of the rat. The Journal of neuroscience : the official journal of the Society for Neuroscience. 17 [PubMed]
Li G, Cleland TA. (2013). A two-layer biophysical model of cholinergic neuromodulation in olfactory bulb. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]
Lindén H et al. (2013). LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. Frontiers in neuroinformatics. 7 [PubMed]
Lindén H et al. (2011). Modeling the spatial reach of the LFP. Neuron. 72 [PubMed]
Mainen ZF, Sejnowski TJ. (1996). Influence of dendritic structure on firing pattern in model neocortical neurons. Nature. 382 [PubMed]
Mapelli J, D'Angelo E. (2007). The spatial organization of long-term synaptic plasticity at the input stage of cerebellum. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]
Mapelli J, Gandolfi D, D'Angelo E. (2010). Combinatorial responses controlled by synaptic inhibition in the cerebellum granular layer. Journal of neurophysiology. 103 [PubMed]
Mehring C et al. (2003). Inference of hand movements from local field potentials in monkey motor cortex. Nature neuroscience. 6 [PubMed]
Migliore M et al. (2003). ModelDB: making models publicly accessible to support computational neuroscience. Neuroinformatics. 1 [PubMed]
Mineault PJ, Zanos TP, Pack CC. (2013). Local field potentials reflect multiple spatial scales in V4. Frontiers in computational neuroscience. 7 [PubMed]
Mitzdorf U. (1985). Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. Physiological reviews. 65 [PubMed]
Montgomery SM, Buzsáki G. (2007). Gamma oscillations dynamically couple hippocampal CA3 and CA1 regions during memory task performance. Proceedings of the National Academy of Sciences of the United States of America. 104 [PubMed]
Morgan RJ, Soltesz I. (2008). Nonrandom connectivity of the epileptic dentate gyrus predicts a major role for neuronal hubs in seizures. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]
Naldi G, Diwakar S, D'Angelo E, Parasuram H, Nair B. (2015). Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. 2015 International Joint Conference on Neural Networks (IJCNN) (IEEE).
Ness TV et al. (2015). Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs). Neuroinformatics. 13 [PubMed]
Nicholson C, Freeman JA. (1975). Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum. Journal of neurophysiology. 38 [PubMed]
Nieus T et al. (2006). LTP regulates burst initiation and frequency at mossy fiber-granule cell synapses of rat cerebellum: experimental observations and theoretical predictions. Journal of neurophysiology. 95 [PubMed]
Parasuram H, Nair B, Naldi G, D'Angelo E, Diwakar S. (2011). A modeling based study on the origin and nature of evoked post-synaptic local field potentials in granular layer. Journal of physiology, Paris. 105 [PubMed]
Plonsey R. (1969). Bioelectric Phenomena.
Publio R, Oliveira RF, Roque AC. (2009). A computational study on the role of gap junctions and rod Ih conductance in the enhancement of the dynamic range of the retina. PloS one. 4 [PubMed]
Rall W, Shepherd GM. (1968). Theoretical reconstruction of field potentials and dendrodendritic synaptic interactions in olfactory bulb. Journal of neurophysiology. 31 [PubMed]
Reimann MW et al. (2013). A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents. Neuron. 79 [PubMed]
Rickert J et al. (2005). Encoding of movement direction in different frequency ranges of motor cortical local field potentials. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]
Rosenfalck P. (1969). Intra- and extracellular potential fields of active nerve and muscle fibres. A physico-mathematical analysis of different models. Acta physiologica Scandinavica. Supplementum. 321 [PubMed]
Scherberger H, Jarvis MR, Andersen RA. (2005). Cortical local field potential encodes movement intentions in the posterior parietal cortex. Neuron. 46 [PubMed]
Segev I, Burke RE, Fleshman JW. (1989). Compartmental models of complex neurons Methods In Neuronal Modelling: From Synapses To Networks.
Solinas S et al. (2007). Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar Golgi cells. Frontiers in cellular neuroscience. 1 [PubMed]
Solinas S, Nieus T, D'Angelo E. (2010). A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties. Frontiers in cellular neuroscience. 4 [PubMed]
Spira ME, Hai A. (2013). Multi-electrode array technologies for neuroscience and cardiology. Nature nanotechnology. 8 [PubMed]
Tomsett RJ et al. (2015). Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain structure & function. 220 [PubMed]
Trayanova NA, Henriquez CS, Plonsey R. (1990). Limitations of approximate solutions for computing the extracellular potential of single fibers and bundle equivalents. IEEE transactions on bio-medical engineering. 37 [PubMed]
Vierling-Claassen D, Cardin JA, Moore CI, Jones SR. (2010). Computational modeling of distinct neocortical oscillations driven by cell-type selective optogenetic drive: separable resonant circuits controlled by low-threshold spiking and fast-spiking interneurons. Frontiers in human neuroscience. 4 [PubMed]
de Schutter E. (2010). Computational modeling methods for neuroscientists.
Appukuttan S, Brain KL, Manchanda R. (2017). Modeling extracellular fields for a three-dimensional network of cells using NEURON. Journal of neuroscience methods. 290 [PubMed]
Diwakar S, Parasuram H, Nair B, Medini C, Nair M. (2017). Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformatics.
Głąbska H, Chintaluri C, Wójcik DK. (2017). Collection of Simulated Data from a Thalamocortical Network Model. Neuroinformatics. 15 [PubMed]
Mondragón-González SL, Burguière E. (2017). Bio-inspired benchmark generator for extracellular multi-unit recordings. Scientific reports. 7 [PubMed]
Popovych OV, Lysyansky B, Rosenblum M, Pikovsky A, Tass PA. (2017). Pulsatile desynchronizing delayed feedback for closed-loop deep brain stimulation. PloS one. 12 [PubMed]