Speed of processing in the human visual system

Bridging the Gap: Query by Semantic Example

Rasiwasia, N., Moreno, P. J., & Vasconcelos, N. M. (2007) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2007.900138 · Cited by 247

A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

Serre, T., Kouh, M., Cadieu, C. F., Knoblich, U., Kreiman, G., & Poggio, T. (2005) · Defense Technical Information Center (DTIC) · Cited by 245

Initial scene representations facilitate eye movement guidance in visual search.

Castelhano, M. S., & Henderson, J. M. (2007) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.33.4.753 · Cited by 246

Response priming in a go/nogo task: do we have to explain the go/nogo N2 effect in terms of response activation instead of inhibition?

Bruin, K. J., Wijers, A. A., & van Staveren, A. S. J. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00601-0 · Cited by 245

Localizing Visual Discrimination Processes in Time and Space

Hopf, J., Vogel, E. K., Woodman, G. F., Heinze, H., & Luck, S. J. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.4.2088 · Cited by 240

Which is the best way to organize/classify images by content?

Bosch, A., Muñoz, X., & Martí, R. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2006.07.015 · Cited by 243

The time course of visual processing: Backward masking and natural scene categorisation

Bacon-Macé, N., Macé, M. J.-M., Fabre-Thorpe, M., & Thorpe, S. J. (2005) · Vision Research · doi:10.1016/j.visres.2005.01.004 · Cited by 236

The Neurophysiology of Backward Visual Masking: Information Analysis

Rolls, E. T., Tovée, M. J., & Panzeri, S. (1999) · Journal of Cognitive Neuroscience · doi:10.1162/089892999563409 · Cited by 239

A network of tufted layer 5 pyramidal neurons

Markram, H. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.523 · Cited by 237

Surfing a spike wave down the ventral stream

VanRullen, R., & Thorpe, S. J. (2002) · Vision Research · doi:10.1016/s0042-6989(02)00298-5 · Cited by 240

Perceptual and semantic sources of category-specific effects: Event-related potentials during picture and word categorization

Kiefer, M. (2001) · Memory & Cognition · doi:10.3758/bf03195745 · Cited by 240

A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

Auge, D., Hille, J., Mueller, E., & Knoll, A. (2021) · Neural Processing Letters · doi:10.1007/s11063-021-10562-2 · Cited by 251

Timecourse of neural signatures of object recognition

Johnson, J. S., & Olshausen, B. A. (2003) · Journal of Vision · doi:10.1167/3.7.4 · Cited by 242

Rate coding versus temporal order coding: a theoretical approach

Gautrais, J., & Thorpe, S. J. (1998) · Biosystems · doi:10.1016/s0303-2647(98)00050-1 · Cited by 236

Role of the temporal domain for response selection and perceptual binding

Engel, A. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.571 · Cited by 237

Expertise in Pictorial Perception: Eye-Movement Patterns and Visual Memory in Artists and Laymen

Vogt, S., & Magnussen, S. J. (2007) · Perception · doi:10.1068/p5262 · Cited by 235

Visual Search: How Do We Find What We Are Looking For?

Wolfe, J. M. (2020) · Annual Review of Vision Science · doi:10.1146/annurev-vision-091718-015048 · Cited by 267

The time course of word retrieval revealed by event-related brain potentials during overt speech

Costa, A., Strijkers, K., Martin, C. D., & Thierry, G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908921106 · Cited by 236

A Model of V4 Shape Selectivity and Invariance

Cadieu, C. F., Kouh, M., Pasupathy, A., Connor, C. E., Riesenhuber, M., & Poggio, T. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01265.2006 · Cited by 228

Contributions of low- and high-level properties to neural processing of visual scenes in the human brain

Groen, I. I. A., Silson, E. H., & Baker, C. I. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0102 · Cited by 238

Temporal dynamics of early perceptual processing

Hillyard, S. A., Teder-Sälejärvi, W. A., & Münte, T. F. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80141-4 · Cited by 222

Hierarchical Neural Networks for Image Interpretation

Behnke, S. (2003) · Lecture notes in computer science · doi:10.1007/b11963 · Cited by 227

Early Visual Cortex as a Multiscale Cognitive Blackboard

Roelfsema, P. R., & de Lange, F. P. (2016) · Annual Review of Vision Science · doi:10.1146/annurev-vision-111815-114443 · Cited by 227

“Rapid Categorization of Natural Images by Rhesus Monkeys”

Fabre-Thorpe, M., Richard, G., & Thorpe, S. J. (1998) · NeuroReport · doi:10.1097/00001756-199801260-00023 · Cited by 217

Experience-Dependent Sharpening of Visual Shape Selectivity in Inferior Temporal Cortex

Freedman, D. J. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj100 · Cited by 223

A quantitative theory of immediate visual recognition

Serre, T., Kreiman, G., Kouh, M., Cadieu, C. F., Knoblich, U., & Poggio, T. (2007) · Progress in brain research · doi:10.1016/s0079-6123(06)65004-8 · Cited by 221

Does gravity matter? Effects of semantic and syntactic inconsistencies on the allocation of attention during scene perception

Võ, M. L. ‐., & Henderson, J. M. (2009) · Journal of Vision · doi:10.1167/9.3.24 · Cited by 215

When is scene identification just texture recognition?

Renninger, L. W., & Malik, J. (2004) · Vision Research · doi:10.1016/j.visres.2004.04.006 · Cited by 224

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

Zhao, B., Ding, R., Chen, S., Linares-Barranco, B., & Tang, H. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2362542 · Cited by 212

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition

Spoerer, C. J., McClure, P., & Kriegeskorte, N. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01551 · Cited by 227

A Mechanism for Error Detection in Speeded Response Time Tasks.

Holroyd, C. B., Yeung, N., COLES, M. G. H., & Cohen, J. D. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.2.163 · Cited by 227

Stomach-brain synchrony reveals a novel, delayed-connectivity resting-state network in humans

Rebollo, I., Devauchelle, A.-D., Béranger, B., & Tallon-Baudry, C. (2018) · eLife · doi:10.7554/elife.33321 · Cited by 194

Top-down effects on early visual processing in humans: A predictive coding framework

Rauss, K., Schwartz, S., & Pourtois, G. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.011 · Cited by 219

Attention in the real world: toward understanding its neural basis

Peelen, M. V., & Kästner, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.02.004 · Cited by 227

Accuracy, Information, and Response Time in a Saccadic Decision Task

Reddi, B. A. J., Asrress, K. N., & Carpenter, R. H. S. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00689.2002 · Cited by 217

Context Effects in Word Recognition

Sereno, S. C., Brewer, C. C., & O'Donnell, P. J. (2003) · Psychological Science · doi:10.1111/1467-9280.14471 · Cited by 214

Spiking Neural Networks: A Survey

Nunes, J. D., Carvalho, M., Carneiro, D., & Cardoso, J. S. (2022) · IEEE Access · doi:10.1109/access.2022.3179968 · Cited by 254

Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes

Rousselet, G. A., Macé, M. J.-M., & Fabre-Thorpe, M. (2003) · Journal of Vision · doi:10.1167/3.6.5 · Cited by 215

Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons

van Rossum, M. C. W., Turrigiano, G. G., & Nelson, S. B. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-05-01956.2002 · Cited by 207

Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring

Nguyen, H., Maclagan, S. J., Nguyen, T. D., Nguyen, T., Flemons, P. K. J., Andrews, K., Ritchie, E. G., & Phung, D. (2017) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2017.31 · Cited by 232

The neural bases of spatial frequency processing during scene perception

Kauffmann, L., Ramanoël, S., & Peyrin, C. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00037 · Cited by 210

First-Spike-Based Visual Categorization Using Reward-Modulated STDP

Mozafari, M., Kheradpisheh, S. R., Masquelier, T., Nowzari-Dalini, A., & Ganjtabesh, ‎. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2826721 · Cited by 219

Phase-Response Curves Give the Responses of Neurons to Transient Inputs

Gutkin, B. S., Ermentrout, B., & Reyes, A. D. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00359.2004 · Cited by 211

Cognitive Control Mechanisms Revealed by ERP and fMRI: Evidence from Repeated Task-Switching

Swainson, R., Cunnington, R., Jackson, G. M., Rorden, C., Peters, A. M., Morris, P. G., & Jackson, S. R. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903322370717 · Cited by 205

How long to get to the “gist” of real-world natural scenes?

Rousselet, G. A., Joubert, O., & Fabre‐Thorpe, M. (2005) · Visual Cognition · doi:10.1080/13506280444000553 · Cited by 221

Visual word recognition: the first half second

Pammer, K., Hansen, P., Kringelbach, M. L., Holliday, I., Barnes, G. R., Hillebrand, A., Singh, K. D., & Cornelissen, P. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.004 · Cited by 205

Synchronous oscillatory activity in sensory systems: new vistas on mechanisms

Ritz, R., & B, T. J. S. A. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80034-7 · Cited by 202

Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns

Yu, Q., Tang, H., Tan, K. C., & Li, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078318 · Cited by 202

The characteristics and limits of rapid visual categorization

Fabre‐Thorpe, M. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00243 · Cited by 198

The importance of auditory-visual interaction in the construction of ‘tranquil space’

Pheasant, R. J., Fisher, M., Watts, G. R., Whitaker, D., & Horoshenkov, K. V. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2010.03.006 · Cited by 207

Biologically Inspired Mobile Robot Vision Localization

Siagian, C., & Itti, L. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2022424 · Cited by 202

Neural correlates of fast stimulus discrimination and response selection in top-level fencers

Russo, F. D., Taddei, F., Apnile, T., et al. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2006.08.085 · Cited by 201

Electrophysiological estimates of the time course of semantic and phonological encoding during implicit picture naming

Schmitt, B., Münte, T. F., & Marta Kutas, A. (2000) · Psychophysiology · doi:10.1111/1469-8986.3740473 · Cited by 201

Detection of animals in natural images using far peripheral vision

Thorpe, S. J., Gegenfurtner, K. R., Fabre‐Thorpe, M., & Bülthoff, H. (2001) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2001.01717.x · Cited by 197

How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving

Lu, Z., Coster, X., & de Winter, J. (2016) · Applied Ergonomics · doi:10.1016/j.apergo.2016.12.003 · Cited by 195

View dependencies in the visual recognition of social interactions

de la Rosa, S., Mieskes, S., Bülthoff, H., & Curio, C. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00752 · Cited by 198

Neurophysiological correlates of face gender processing in humans

Mouchetant‐Rostaing, Y., Giard, M., Shlomo Bentin, A., Aguera, P., & Pernier, J. (2000) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2000.00888.x · Cited by 196

Evoked alpha and early access to the knowledge system: The P1 inhibition timing hypothesis

Klimesch, W. (2011) · Brain Research · doi:10.1016/j.brainres.2011.06.003 · Cited by 195

The Psychophysical Evidence for a Binding Problem in Human Vision

Wolfe, J. M., & Cave, K. R. (1999) · Neuron · doi:10.1016/s0896-6273(00)80818-1 · Cited by 197

The time course of the inversion effect during individual face discrimination

Jacques, C., d’Arripe, O., & Rossion, B. (2007) · Journal of Vision · doi:10.1167/7.8.3 · Cited by 195

Rapid Brain Discrimination of Sounds of Objects

Murray, M. M., Camen, C., Andino, S. L. G., Bovet, P., & Clarke, S. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4511-05.2006 · Cited by 199

The influence of color on the perception of scene gist.

Castelhano, M. S., & Henderson, J. M. (2008) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.34.3.660 · Cited by 213

Are Cortical Models Really Bound by the “Binding Problem”?

Riesenhuber, M., & Poggio, T. (1999) · Neuron · doi:10.1016/s0896-6273(00)80824-7 · Cited by 194

Directed and Motivated Attention during Processing of Natural Scenes

Ferrari, V., Codispoti, M., Cardinale, R., & Bradley, M. M. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20121 · Cited by 192

Pitch Perception Models

Alain De Cheveigné, A. (2005) · Springer handbook of auditory research · doi:10.1007/0-387-28958-5_6 · Cited by 191

A neural basis for real-world visual search in human occipitotemporal cortex

Peelen, M. V., & Kästner, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1101042108 · Cited by 196

Gender differences in behavioral inhibitory control: ERP evidence from a two‐choice oddball task

Yuan, J., He, Y., Zhang, Q., Chen, A., & Li, H. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2008.00693.x · Cited by 198

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, A., Chen, X.-R., Yuille, A., & Zhu, S. C. (2003) · Lecture notes in computer science · doi:10.1007/11957959_28 · Cited by 186

Eye Movements and Visual Encoding During Scene Perception

Rayner, K., Smith, T. J., Malcolm, G. L., & Henderson, J. M. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02243.x · Cited by 186

Recurrent Processing during Object Recognition

O’Reilly, R. C., Wyatte, D., Herd, S. A., Mingus, B., & Jilk, D. J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00124 · Cited by 213

Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations

Lansner, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.12.002 · Cited by 183

Dynamic Shape Synthesis in Posterior Inferotemporal Cortex

Brincat, S. L., & Connor, C. E. (2006) · Neuron · doi:10.1016/j.neuron.2005.11.026 · Cited by 183

High temporal resolution decoding of object position and category

Carlson, T. A., Hogendoorn, H., Kanai, R., Mesík, J., & Turret, J. (2011) · Journal of Vision · doi:10.1167/11.10.9 · Cited by 193

Executive Control in Bilingual Language Processing

Rodríguez‐Fornells, A., de Diego‐Balaguer, R., & Münte, T. F. (2006) · Language Learning · doi:10.1111/j.1467-9922.2006.00359.x · Cited by 199

Disentangling Representations of Object Shape and Object Category in Human Visual Cortex: The Animate–Inanimate Distinction

Proklova, D., KAISER, D. H., & Peelen, M. V. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00924 · Cited by 179

A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification

Kaneshiro, B., Guimaraes, M. P., Kim, H.-S., Norcia, A. M., & Suppes, P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135697 · Cited by 183

Transmission of Noise Coded versus Additive Signals through a Neuronal Ensemble

Lindner, B., & Schimansky-Geier, L. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.2934 · Cited by 185

Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks

Cichy, R. M., Khosla, A., Pantazis, D., & Oliva, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.063 · Cited by 180

Bright illusions reduce the eye's pupil

Laeng, B., & Endestad, T. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1118298109 · Cited by 184

My face or yours? Event-related potential correlates of self-face processing

Keyes, H., Brady, N. P., Reilly, R. B., & Foxe, J. J. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2009.09.006 · Cited by 180

Dynamics of Cortico-subcortical Cross-modal Operations Involved in Audio-visual Object Detection in Humans

Fort, A. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.10.1031 · Cited by 179

Informatics in Radiology: What Can You See in a Single Glance and How Might This Guide Visual Search in Medical Images?

Drew, T. W., Evans, K. K., Võ, M. L. ‐., Jacobson, F. L., & Wolfe, J. M. (2012) · Radiographics · doi:10.1148/rg.331125023 · Cited by 182

SpikeNET: A simulator for modeling large networks of integrate and fire neurons

Delorme, A., Gautrais, J., Rullen, R. V., et al. (1999) · Neurocomputing · doi:10.1016/s0925-2312(99)00095-8 · Cited by 183

Tracking the processes behind conscious perception: A review of event-related potential correlates of visual consciousness

Railo, H., Koivisto, M., & Revonsuo, A. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.03.019 · Cited by 186

How Is Your User Feeling? Inferring Emotion Through Human-Computer Interaction Devices1

Hibbeln, M. T., Jenkins, J. L., Schneider, C., Valacich, J. S., & Weinmann, M. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.1.01 · Cited by 180

Saliency and Gist Features for Target Detection in Satellite Images

Li, Z., & Itti, L. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2099128 · Cited by 179

Recognizing emotions expressed by body pose: A biologically inspired neural model

Konrad Schindler, B., Gool, L. V., & de Gelder, B. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.05.003 · Cited by 181

Uncovering the neural magnitude and spatio-temporal dynamics of natural image categorization in a fast visual stream

Retter, T. L., & Rossion, B. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.07.028 · Cited by 178

Object Vision in a Structured World

KAISER, D. H., Quek, G. L., Cichy, R. M., & Peelen, M. V. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.04.013 · Cited by 179

Ultra-rapid categorisation of natural scenes does not rely on colour cues: a study in monkeys and humans

Arnaud Delorme, A., Richard, G., & Fabre‐Thorpe, M. (2000) · Vision Research · doi:10.1016/s0042-6989(00)00083-3 · Cited by 174

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual CortexPreprint

Liao, Q., & Poggio, T. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1604.03640 · Cited by 253

Early auditory–visual interactions in human cortex during nonredundant target identification

Fort, A., Delpuech, C., Pernier, J., & Giard, M. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(02)00058-7 · Cited by 176

Mirror, Mirror on the wall: enhancement in self-recognition

Epley, N., & Whitchurch, E. (2008) · Personality and Social Psychology Bulletin · doi:10.1177/0146167208318601 · Cited by 174

Biological Foundations and Origin of Syntax

(2009) · The MIT Press eBooks · doi:10.7551/mitpress/9780262013567.001.0001 · Cited by 175

Sparse bursts optimize information transmission in a multiplexed neural code

Naud, R., & Sprekeler, H. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720995115 · Cited by 185

When does size not matter? Effects of stimulus size on affective modulation.

De Cesarei, A., & Codispoti, M. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00392.x · Cited by 173

NAVIG: augmented reality guidance system for the visually impaired

Katz, B. F. G., Kammoun, S., Parseihian, G., Gutierrez, O., Brilhault, A., Auvray, M., Truillet, P., Denis, M., Thorpe, S., & Jouffrais, C. (2012) · Virtual Reality · doi:10.1007/s10055-012-0213-6 · Cited by 172

A category-specific response to animals in the right human amygdala

Mormann, F., Dubois, J., Kornblith, S., Milosavljevic, M., Cerf, M., Ison, M. J., Tsuchiya, N., Kraskov, A., Quiroga, R. Q., Adolphs, R., et al. (2011) · Nature Neuroscience · doi:10.1038/nn.2899 · Cited by 176

Neuromorphic Atomic Switch Networks

Avizienis, A. V., Sillin, H. O., Martin‐Olmos, C., Shieh, H. H., Aono, M., Stieg, A. Z., & Gimzewski, J. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042772 · Cited by 170

First-spike latency of auditory neurons revisited

Heil, P. F. (2004) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2004.07.002 · Cited by 170

Can event-related potentials serve as neural markers for wins, losses, and near-wins in a gambling task? A principal components analysis

Lole, L., Gonsalvez, C. J., Barry, R. J., & Blasio, F. M. D. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.011 · Cited by 35

Psychophysiology in Australasia

Barry, R. J., Broyd, S. J., Bruggemann, J. M., et al. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.08.004 · Cited by 1

The genesis of human event-related responses explained through the theory of oscillatory neural assemblies

Karakaş, S., Erzengin, Ö. U., & Başar, E. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01022-3 · Cited by 167

Source separation of ERP components in brain responses to reward evaluation

Duan, F., Cui, F., Luo, Y., & Chang, C. (2016) · IEEE International Conference on Digital Signal Processing (DSP) · doi:10.1109/icdsp.2016.7868569

Effects of musical expertise on the early right anterior negativity: An event‐related brain potential study

Koelsch, S., Schmidt, B., & KANSOK, J. (2002) · Psychophysiology · doi:10.1111/1469-8986.3950657 · Cited by 257