Research Applications

Plexon provides a comprehensive platform for conducting neuroscience research in a wide array of experimental preparations, including freely-moving and head-fixed rodents (rats, mice) and primates, cell cultures, and brain slices. Plexon systems filter, amplify, record, and analyze action potentials (spikes) and local field potentials (LFPs) from implanted microelectrodes and microwires, surface EEG signals, EMG signals, and a variety of digital event and video data.

Plexon systems are capable of both real-time and off-line spike sorting and analyses. Real-time analysis allows the researcher to modify experimental protocols and stimuli, or electrode position, in real-time based on the outcome of the analyses.

Analysis of neural signals relative to external events and stimuli enable the study of the neural mechanisms underlying:

Sensory perception
Motor control
Attention, cognition, and decision-making
Learning and memory

Emotional processing
Drug and toxin effects
Neuroprosthetics and brain-machine interfaces

Primate
Rat
Mouse
Cell Culture/Brain Slice
Other Specimens
U-Probe

Primate applications typically involve recording from awake, behaving monkeys engaged in behavioral or perceptual tasks. The following types of signals are acquired and analyzed in experiments involving primates:

Spike action potentials and local field potentials from depth microelectrodes and microwires
Single, stereotrode, and tetrode spike acquisition and sorting
EMG electrode
Superficial EEG
Timing and content complex sensory stimuli (often visual) from an external experimental control system
x,y coordinate data from external eye-tracking systems including magnetic field, infra-red, or video-based tracking
Stimulation onset event
Trial onset/termination – trial-based recording

Primate

Related Products

Headstages

Plexon offers three main types of headstages: high-impedance, low-impedance, and wireless.

Neuroexplorer

Neuroexplorer is a neurophysiological data analysis package with a rich set of analysis options and functions. NeuroExplorer can be used to analyze data files offline, or used in realtime with the MAP System and OmniPlex System control software.

Offline Sorter

Offline Sorter (OFS) version 3 is a powerful, easy-to-use tool for viewing and classifying action potential waveforms (spikes) collected from single electrodes, stereotrodes, and tetrodes.

Plextrode® Floating Microelectrode Array

Plexon offers the Plextrode™ Floating Microelectrode Array (FMA) for long-term chronic applications. The Plextrode FMA is a unique microelectrode array, designed to improve upon the benefits offered by a standard chronic array while also accommodating numerous, user-defined specifications. This allows the Plextrode FMA to be configured to specific research requirements.

Plextrode® Microwire Array

The Plextrode® microwire arrays are most commonly used in chronic, freely moving animal studies. They are Plexon's best selling electrode array due to both recording reliability and cost efficiency.

Plextrode® U-Probe

The 16- and 24-channel U-Probes are now available with thinner probe diameters. The 16-channel U-Probe is now available with an outer diameter of 185 µm, and the 24-channel U-Probe is available with 210 µm outer diameter. These new U-Probes feature 15 um platinum/iridium electrode wire, which is best for resolving single units.

The U-Probe will still be available with 20 µm or 25 µm electrode wire. These thicker diameter electrode wire U-Probes are recommended for those interested in current source density analysis.

The 8-channel U-Probe is also still available. The 8-channel U-Probe is now configured with a fluid channel for drug delivery by default. The placement of this fluid capillary is user defined. These 8-channel U-Probes have an outer probe diameter of 230 µm.

Multichannel Acquisition Processor (MAP)

The Plexon Multichannel Acquisition Processor (MAP) sets the standard for programmable amplification, filtering, and real-time spike sorting of multi-electrode signals acquired in neurophysiological research.

RASPUTIN

RASPUTIN (Real-time Acquisition System Programs for Unit Timing in Neuroscience) is a suite of software tools that work with the Plexon Multichannel Acquisition Processor (MAP) hardware.

Recorder

Recorder/16 and Recorder/64 are Windows®-based neural data acquisition systems for continuous digitization of up to 16 channels (Recorder/16) or 64 channels (Recorder/64) of any combination of spike signals, thresholded spike segments, field potentials, and external digital events.

Research Papers

A comparison of primate prefrontal and inferior temporal cortices during visual categorization
by: Freedman D., Riesenhuber M., Poggio T., and Miller E.
Science (2003) 23, pp. 5235-5246

A motion-dependent distortion of retinotopy in area V4
by: Sundberg K., Fallah M., and Reynolds J.
Neuron (2005) 49, pp. 447-457

A parieto-frontal network for visual numerical information in the monkey
by: Nieder A. and Miller E.
PNAS (2004) 101, pp. 7457-7462

Adaptation in macaque MT reduces perceived speed and improves speed discrimination
by: Krekelberg B., van Wezel R., and Albright T.
Journal of Neurophysiology (2006) 95, pp. 255-270

Analog numerical representations in rhesus monkeys: evidence for parallel processing
by: Nieder A. and Miller E.
Journal of Cognitive Neuroscience (2004) 16, pp. 889-901

Ascertaining the importance of neurons to develop better brain-machine interfaces
by: Sanchez J., Carmena J., Lebedev M., Nicolelis M., Harris J., and Principe J.
IEEE Transactions on Biomedical Engineering (2004) 51, pp. 943-53

Assessing neuronal coherence with single-unit, multi-unit, and local field potentials
by: Zeitler M., Fries P., and Gielen S.
Neural Computation (2006) 18, pp. 2256-2281

Attentional modulation of visual processing
by: Reynolds J. and Chelazzi L.
Annual Review of Neuroscience (2004) 27, pp. 611-47

Beetles, boxes and brain cells: neural mechanisms underlying valuation and learning
by: Salzman C., Belova M., and Paton J.
Current Opinion in Neurobiology (2005) 15, pp. 721-9

Behavioral and neurophysiological analyses of dynamic learning processes
by: Suzuki W. and Brown E.
Behavioral and Cognitive Neuroscience Reviews (2005) 4, pp. 67-95

Behavioral detection of tactile stimuli during 7-12 Hz cortical oscillations in awake rats
by: Wiest M. and Nicolelis M.
Nature Neuroscience (2003) 6, pp. 913-4

Blue-yellow signals are enhanced by spatiotemporal luminance contrast in macaque V1
by: Horwitz G. Chichilnisky E., and Albright T.
Journal of Neurophysiology (2005) 93, pp. 2263-2278

Brain-machine interfaces to restore motor function and probe neural circuits
by: Nicolelis M.
Nature Reviews Neuroscience (2003) 4, pp. 417-422

Categorical representation of visual stimuli in the primate prefrontal cortex
by: Freedman D., Riesenhuber M., Poggio T., and Miller E.
Science (2001) 291, pp. 312-6

Categorization in the monkey hippocampus: A possible mechanism for encoding information into memory
by: Hampson R., Pons T., Stanford T., and Deadwyler S.
PNAS (2004) 101, pp. 3184-3189

Coding of cognitive magnitude: Compressed scaling of numerical information in the primate prefrontal cortex
by: Nieder A. and Miller E.
Neuron (2003) 37, pp. 149-157

Cold hardiness in relation to trace metal stress in the freeze-avoiding beetle Tenebrio molitor
by: Pedersen S., Kristiansen E., Hansen B., Andersen R., and Zachariassen K.
Journal of Insect Physiology (2006) 52, pp. 846-53

Continuous assessment of right ventricular ejection fraction: new pulmonary artery catheter versus transoesophageal echocardiography
by: Zink W., Noll J., Rauch H., Bauer H., Desimone R., Martin E., and Bottiger B.
Anaesthesia (2004) 59, pp. 1126-32

Contour saliency in primary visual cortex
by: Li W., Piëch V., and Gilbert C.
Neuron (2006) 50, pp. 951-962

Coronary fistula of right coronary artery to vena cava superior and ectasia of pulmonary artery
by: Koch A., Sebening C., DeSimone R., Jahn L., Sack F., and Hagl S.
Zeitschrift für Kardiologie (2005) 94, pp. 813-6

Correlates of capture of attention and inhibition of return across stages of visual processing
by: Fecteau J. and Munoz D.
Journal of Cognitive Neuroscience (2005) 17, pp. 1714-27

Correlation between Speed Perception and Neural Activity in the Middle Temporal Visual Area
by: Liu J. and Newsome W.
Journal of Neuroscience (2005) 25, pp. 711-722

Discharge dynamics of oculomotor neural integrator neurons during conjugate and disjunctive saccades and fixation
by: Sylvestre P., Choi J., and Cullen K.
Journal of Nueirphysiology (2003) 90, pp. 739-54

Do extraocular motoneurons encode head velocity during head -restrained versus head-unrestrained saccadic and smooth pursuit movements?
by: Sylvestre P., Roy J., and Cullen K.
Annals of the New York Academy of Sciences (2001) 942, pp. 497-500

Entrainment of neuronal oscillations as a mechanism of attentional selection
by: Lakatos, P., Karmos, G., Mehta, A.D., Ulbert, I., and Schroeder, C.E.
Science (2008) 320, pp. 110-113

Expression of a re-centering bias in saccade regulation by superior colliculus neurons
by: Pare M. and Munoz D.
Experimental Brain Research (2001) 137, pp. 354-68

Frontal and parietal cortical ensembles predict single-trial muscle activity during reaching movements in primates
by: Santucci D., Kralik J., Lebedev M., and Nicolelis M.
European Journal of Neuroscience (2005) 22, pp. 1529-40

Gamma-band synchronization in visual cortex predicts speed of change detection
by: Womelsdorf T., Fries P., Mitra P., and Desimone R.
Nature (2006) 439, pp. 733-6

Hydrogen for fluorine exchange in CH4-xFx by monomeric [1,2,4-(Me3C)3C5H2]2CeH: experimental and computational studies
by: Werkema E., Messines E., Perrin L., Maron L., Eisenstein O., and Andersen R.
Journal of the American Chemical Society (2005) 127, pp. 7781-95

Image structure at the center of gaze during free viewing
by: Dragoi V. and Sur M.
Journal of Cognitive Neuroscience (2006) 18, pp. 737-48

Interactions between speed and contrast tuning in the middle temporal area: Implications for the neural code for speed
by: Krekelberg B., van Wezel R., and Albright T.
Journal of Neuroscience (2006) 26, pp. 8988-8998

Limb movement: getting a handle on grasp
by: Miller L.
Current Biology (2004) 14f, pp. R714-5

Linking reward expectation to behavior in the basal ganglia
by: Gold J.
Trends in Neuroscience (2003) 26, pp. 12-14

Look Away: The Anti-saccade task and the voluntary control of eye movement
by: Munoz D. and Everling S.
Nature Reviews Neuroscience (2004) 5, pp. 218-228

Matching behavior and the representation of value in the parietal cortex
by: Sugrue L., Corrado G., and Newsome W.
Science (2004) 304, pp. 1782-7

Modulation of oscillatory neuronal synchronization by selective visual attention
by: Fries P., Reynolds J., Rorie A., and Desimone R.
Science (2001) 291, pp. 1560-3

Motion mechanisms in macaque MT
by: Krekelberg B. and Albright T.
Journal of Neurophysiology (2005) 93, pp. 2908-2921

Multielectrode recordings: the next steps
by: Nicolelis M. and Ribeiro S.
Current Opinion in Neurobiology (2002) 12, pp. 602-6

Neural correlates of chromatic motion perception
by: Thiele A., Dobkins K., and Albright T.
Neuron (2001) 32, pp. 351-8

New syntheses of the C,D-ring pyrromethenones of phytochrome and phycocyanin
by: Jacobi P., DeSimone R., Ghosh I., Guo J., Leung S., and Pippin D.
Journal of Organic Chemistry (2000) 65, pp. 8478-89

Norm-based face encoding by single neurons in the monkey inferotemporal cortex
by: Leopold D., Bondar I., and Giese A.
Nature (2006) 442, pp. 572-5

Parallel and serial neural mechanisms for visual search in macaque area V4
by: Bichot N., Rossi A., and Desimone R.
Science (2005) 308, pp. 529-34

Paucity of chromatic linear motion detectors in macaque V1
by: Horwitz G. and Albright T
Journal of Vision (2005) 5, pp. 525-533

Perceptual learning and top-down influences in primary visual cortex
by: Li W., Piëch V., and Gilbert C.
Nature Neuroscience (2004) 7, pp. 651-657

Place-related neural responses in the monkey hippocampal formation in a virtual space
by: Hori E., Nishio Y, Kazui K., Umeno K., Tabuchi E., Sasaki K., Endo S., Ono T., and Nishijo H.
Hippocampus (2005) 15, pp. 991-996

Prediction of EMG from multiple electrode recordings in primary motor cortex
by: Pohlmeyer E., Miller L., Mussa-Ivaldi F., Perreault E., and Solla S.
Proceedings of the 25th Annual International Conference of the IEEE (2003) 3, pp. 2197-2200

Properties of in vivo interictal spike generation in the human subiculum
by: Daniel Fabo, Zsofia Magloczky, Lucia Wittner, Agnes Pek, Lorand Eross, Sandor Czirjak, Janos Vajda, Andras Solyom, Gyorgy Rasonyi, Anna Szucs, Anna Kelemen, Vera Juhos, Laszlo Grand, Balazs Dombovari, Peter Halasz, Tamas F. Freund, Eric Halgren, Gyorgy Ka

Representation of place by monkey hippocampal neurons in real and virtual translocation
by: Hori E., Tabuchi E., Matsumura N., Tamura R., Eifuku S., Endo S., Nishijo H., and Ono T.
Hippocampus (2003) 13, pp. 190-6

Responses of neurons in the medial superior temporal visual area (MST) to apparent motion stimuli in macaque monkeys
by: Churchland A., Huang X., and Lisberger S.
Journal of Neurophysiology Articles in Press (2006) 97, pp. 272-82

Single neurons in prefrontal cortex encode abstract rules
by: Wallis J., Anderson K., and Miller E.
Nature (2001) 411, pp. 953-956

Single neurons in the monkey hippocampus and learning of new associations
by: Wirth S., Yanike M., Frank L., Smith A., Brown E., and Suzuki W.
Science (2003) 300, pp. 1578-81

Space-time separation during obstacle-avoidance learning in monkeys
by: Torres E. and Andersen R.
Journal of Neurophysiology 96: (2006) 2613-2632., pp. 2613-2632

Spatial selectivity in human ventrolateral prefrontal cortex
by: Rizzuto D., Mamelak A., Sutherling W., Fineman I., and Andersen R.
Nature Neuroscience (2005) 8, pp. 415-7

The amazing adventures of robotrat
by: Nicolelis M.
Trends in Cognitive Sciences (2002) 6, pp. 449-50

The epileptic human hippocampal cornu ammonis 2 region generates spontaneous interictal-like activity in vitro
by: Lucia Wittner, Gilles Huberfeld, Stephane Clemenceau, Lorand Eross, Edouard Dezamis, Laszlo Entz, Istvan Ulbert, Michel Baulac, Tamas F. Freund, Zsofia Magloczky and Richard Miles

The Human K-Complex Represents an Isolated Cortical Down-State
by: Sydney S. Cash, Eric Halgren, Nima Dehghani, Andrea O. Rossetti, Thomas Thesen, Chun Mao Wang, Orrin Devinsky, Ruben Kuzniecky, Werner Doyle, Joseph R. Madsen, Edward Bromfield, Lorand Eross, Peter Halasz, George Karmos, Richard Csercsa, Lucia Wittner, Is

The prefrontal cortex and cognitive control
by: Miller E.
Nature Reviews Neuroscience (2000) 1, pp. 59-65

The primate amygdala represents the positive and negative value of visual stimuli during learning
by: Paton J., Belova M., Morrison S., and Salzman C.
Nature (2006) 439, pp. 865-70

Through the looking glass. Focus on “representation of an abstract perceptual decision in macaque superior colliculus.”
by: Gold J.
Journal of Neurophysiology (2004) 91, pp. 1936-1937

V1 neurons signal acquisition of an internal representation of stimulus location
by: Sharma J., Dragoi V., Tenenbaum J., Miller E., and Sur M.
Science (2003) 300, pp. 1758-63

Visual categorization and the primate prefrontal cortex: neurophysiology and behavior
by: Freedman D., Riesenhuber M., Poggio T., and Miller E.
Journal of Neurophysiology (2002) 88, pp. 929-941

Rodent applications involve recording from a freely moving or anesthetized rat or mouse. Plexon has a wide array of headstage amplifier options designed to fit the space and weight constraints involved in recording from small animals. The following types of signals are typically acquired and analyzed in experiments involving rat or mouse:

Spike action potentials and local field potentials from depth microelectrodes and microwires
Single electrode, stereotrode, and tetrode spike acquisition and sorting
Digital video and LED position tracking
Timing of sensory or behavioral events (for example, lever pressing, nose poke, light onset, among others) from commonly used operant behavioral control systems
Stimulation onset event
Trial onset/termination (trail-based recording)

Related Products

Headstages

Plexon offers three main types of headstages: high-impedance, low-impedance, and wireless.

Neuroexplorer

Offline Sorter

Offline Sorter (OFS) version 3 is a powerful, easy-to-use tool for viewing and classifying action potential waveforms (spikes) collected from single electrodes, stereotrodes, and tetrodes.

Preamplifiers

Plexon has recently introduced a new line of preamplifier boards with improved common-mode rejection capability with both fixed reference and software-programmable reference selection, and lower noise for improved SNR recordings. These preamp boards represent the third-generation of plexon spike, field potential, and wide-band boards for use either with the Plexon MAP and RECORDER systems, or as stand-alone hardware components for use with other data acquisition systems.

Multichannel Acquisition Processor (MAP)

RASPUTIN

RASPUTIN (Real-time Acquisition System Programs for Unit Timing in Neuroscience) is a suite of software tools that work with the Plexon Multichannel Acquisition Processor (MAP) hardware.

Recorder

CinePlex

CinePlex is a digital video recording and tracking system that enables the synchronization of video with neural data files.

Research Papers

Bilateral integration of whisker information in the primary somatosensory cortex of rats
by: Shuler M., Krupa D., and Nicolelis M.
Journal of Neuroscience (2001) 21, pp. 5251-5261

Comparison of anterior cingulate and primary somatosensory neuronal responses to noxious laser-heat stimuli in conscious, behaving rats
by: Kuo C. and Yen C.
Journal of Neurophysiology (2005) 94, pp. 1825-1836

Differential morphine effects on short- and long-latency laser-evoked cortical responses in the rat
by: Tsai M., Kuob C., Sunc W., Yen C.
Pain (2004) 110, pp. 665-674

Dopaminergic control of sleep–wake states
by: Dzirasa K., Ribeiro S., Costa R., Santos L., Lin S., Grosmark A., Sotnikova T., Gainetdinov R., Caron M., and Nicolelis M.
Journal of Neuroscience (2006) 26, pp. 10577-10589

Dynamic and multimodal responses of gustatory cortical neurons in awake rats
by: Katz D., Simon S., and Nicolelis M.
Journal of Neuroscience (2001) 21, pp. 4478-4489

Encoding of tactile stimulus location by somatosensory thalamocortical ensembles
by: Ghazanfar A., Stambaugh C., and Nicolelis M.
Journal of Neuroscience (2000) 20, pp. 3761-3775

Global forebrain dynamics predict rat behavioral states and their transitions
by: Gervasoni D., Lin S., Ribeiro S., Soares E., Pantoja J., and Nicolelis M.
Journal of Neuroscience (2004) 24, pp. 11137-11147

Inhibitory avoidance learning altered ensemble activity of amygdaloid neurons in rats
by: Chang C., Liang K., and Yen C.
European Journal of Neuroscience (2005) 21, pp. 210-218

Long-lasting novelty-induced neuronal reverberation during slow-wave sleep in multiple forebrain areas
by: Ribeiro S., Gervasoni D., Soares E., Zhou Y., Lin S., Pantoja J., Lavine M., Nicolelis M.
PLoS Biology (2004) 2, pp. 0126-0137

Orbitofrontal ensemble activity monitors licking and distinguishes among natural rewards
by: Gutierrez R., Carmena J.,Nicolelis M., and Simon S.
Journal of Neurophysiology (2006) 95, pp. 119-133

Rapid taste responses in the gustatory cortex during licking
by: Stapleton J., Lavine M., Wolpert R., Nicolelis M., and Simon S.
Journal of Neuroscience (2006) 26, pp. 4126-4138

Reduction of single-neuron firing uncertainty by cortical ensembles during motor skill learning
by: Cohen D. and Nicolelis M.
Journal of Neuroscience (2004) 24, pp. 3574-3582

Reticular thalamic responses to nociceptive inputs in anesthetized rats
by: Yen C. and Shaw F.
Brain Research (2003) 968, pp. 179-191

Role of cortical feedback in the receptive field structure and nonlinear response properties of somatosensory thalamic neurons
by: Ghazanfar A. , Krupa D., and Nicolelis M.
Experimental Brain Research (2001) 141, pp. 88-100

Taste-specific neuronal ensembles in the gustatory cortex of awake rats
by: Katz D., Simon S., and Nicolelis M.
Journal of Neuroscience (2002) 22, pp. 1850-1857

Techniques for long-term multisite neuronal ensemble recordings in behaving animals
by: Kralik J., Dimitrov D., Krupa D., Katz D., Cohen D., and Nicolelis M.
Methods (2001) 25, pp. 121-150

Thalamic bursting in rats during different awake behavioral states
by: Fanselow E., Sameshima K., Baccala L., and Nicolelis M.
PNAS (2001) 98, pp. 15330-15335

Spike action potentials and local field potentials from depth microelectrodes and microwires
Single electrode, stereotrode, and tetrode spike acquisition and sorting
Digital video and LED position tracking
Timing of sensory or behavioral events (for example, lever pressing, nose poke, light onset, among others) from commonly used operant behavioral control systems
Stimulation onset event
Trial onset/termination (trail-based recording)

Mouse

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No products found.

Research Papers

Differential corticostriatal plasticity during fast and slow motor skill learning in mice
by: Costa R., Cohen D., and Nicolelis M.
Current Biology (2004) 14, pp. 1124-1134

Identification of network-level coding units for real-time representation of episodic experiences in the hippocampus
by: Lin L., Osan R., Shoham S., Jin W., Zuo W., and Tsien J.
PNAS (2005) 102, pp. 6125-6130

Large-scale neural ensemble recording in the brains of freely behaving mice
by: Lin L., Chenb G., Xie K., Zaia K., Zhang S., Tsien J.
In Press (2006)

Organizing principles of real-time memory encoding: neural clique assemblies and universal neural codes
by: Lin L., Remus Osan R., and Tsien J.
Trends in Neuroscience (2006) 29, pp. 48-57

Cell culture and brain slice applications involve recording from either multi-electrode array (MEA) plates or from individual microelectrodes inserted into the preparation from above. Recordings from MEA plates typically involve testing the effects of drugs or toxins, and can extend over many days or even weeks. MEA plates can be obtained from a variety of vendors, including the University of North Texas, Multichannel Systems, and Panasonic Alpha-MED Sciences.

The following types of signals are typically acquired and analyzed in cell culture and brain slice experiments:

Action potentials and local field potentials from MEA electrode plates
Timing of external stimuli (for example, light onset/offset, electrical stimulation, among others)
Trial-based and time-based recording

Cell Culture

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Research Papers

Short-latency cross- and autocorrleation identify clusters of interacting cortical neurons recorded from multi-electrode array
by: Francesca Gullo, Andrea Maffezzoli, Elena Dossi, Enzio Wanke
Journal of Neuroscience Methods (2009) 5281, pp. 1-13

This section contains research papers and related products that are not directly associated with any of the other research categories.

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Research Papers

Activation of a cortical column by a thalamocortical impulse
by: Swadlow H., Gusev A., and Bezdudnaya T.
Journal of Neuroscience (2002) 22, pp. 7766-7773

Thalamic burst mode and inattention in the awake LGNd
by: Bezdudnaya T., Cano M., Bereshpolova Yulia , Stoelzel C., Alonso J., and Swadlow H.
Neuron (2006) 49, pp. 421-432

The impact of a corticotectal impulse on the awake superior colliculus
by: Bereshpolova Y., Stoelzel C., Gusev A., Bezdudnaya T., and Swadlow H.
Journal of Neuroscience (2006) 26, pp. 2250-2259

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Research Papers

An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex
by: Lakatos P., Shah A., Knuth K., Ulbert I., Karmos G., and Schroeder C.
Neurophysiology (2005) 94, pp. 1904-1911

Coupling of the cortical hemodynamic response to cortical and thalamic neuronal activity
by: Devor A., Ulbert I., Dunn A, Narayanan S, Jones S., Andermann M., Boas D., and Dale A.
PNAS (2005) 102, pp. 3822-3827

Coupling of total hemoglobin concentration, oxygenation, and neural activity in rat somatosensory cortex
by: Devor A., Dunn A., Andermann M., Ulbert I., Boas D., and Dale A.
Neuron (2003) 39, pp. 353-359

Current-source density estimation based on inversion of electrostatic forward solution: Effects of finite extent of neuronal activity and conductivity discontinuities
by: Pettersen K., Devor A., Ulbert I., Dale A., and Einevoll G.
Neuroscience Methods (2006) 154, pp. 116-133

In vivo laminar electrophysiology co-registered with histology in the hippocampus of patients with temporal lobe epilepsy
by: Ulbert I., Magloczky Z., Eross L., Czirjak S., Vajda J., Bognar L., Toth S., Szabo Z., Halasz P., Fabo D., Halgren E., Freund T., and Karmos G.
Experimental Neurology (2004) 187, pp. 310-318

Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex
by: Einevoll G., Pettersen K., Devor A., Ulbert I., Halgren E., and Dale A.
Neurophysiology (2007) 97, pp. 2174-2190

Multisensory convergence in auditory cortex, I. Cortical connections of the caudal superior temporal plane in macaque monkeys
by: Smiley J., Hackett T., Ulbert I., Karmos G., Lakatos P., Javitt J., and Schroeder C.
Comparative Neurology (2007) 502, pp. 894-923

Multisensory convergence in auditory cortex, II. Thalamocorical connections of the caudal superior temporal plane
by: Hackett T., De La Mothe L., Ulbert I., Karmos G., Smiley J., and Schroeder C.
Comparative Neurology (2007) 502, pp. 924-952

Neural dynamics and the fundamental mechanisms of event-related brain potentials
by: Shah A., Bressler S., Knuth K., Ding M., Mehta A., Ulbert I., and Schroeder C.
Cerebral Cortex (2004) 14, pp. 476-483

Neuronal oscillations and multisensory interation in primary auditory cortex
by: Lakatos P., Chen C., O’Connell M., Mills A., and Schroeder C.
Neuron (2007) 53, pp. 279-292

Suppressed neuronal activity and concurrent arteriolar vasoconstriction may explain negative bold oxygenation level-dependent signal
by: Devor A., Tian P., Nishimura N., Teng I., Hillman E., Narayanan S., Ulbert I., Boas D., Kleinfeld D., and Dale A.
Neuroscience (2007) 27, pp. 4452-4459