The Cooperative Neuron: Cellular Foundations of Mental Life
Abstract
The Cooperative Neuron roots our understanding of mental life, as consciously experienced and as studied by psychologists, in recent discoveries in cellular neurophysiology, which show that many neurons in the mammalian neocortex have capabilities that transcend those assumed by twentieth-century psychology and systems neuroscience. These neurons receive information from many other parts of the brain and amplify their information transmission when appropriate in that context. Amplification is defined and quantified using recent advances in information theory by which the contributions of different inputs to information transmission can be distinguished. This context-sensitive cooperative style of Big Data processing produces widespread coherence from operations that are localized within each of a multitude of local neuronal processors. This book shows how this provides cellular foundations for contextual disambiguation in perception, selective attention, working memory and imagery, emotional prioritization, cognitive control, and learning, which has profound implications for neurobiology, psychology, neurology, psychiatry, and philosophy. The book is written for a wide audience, and it explains the neuroscience to the psychologists, the psychology to the neuroscientists, and both fields to philosophers, to students of the behavioural and brain sciences, and to all intrigued by the enduring mystery of how brains can be minds. Finally, it identifies many issues inviting explora…
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404 · see citing works
James, W. (1891) · Henry Holt and Company eBooks · doi:10.1037/11059-000 · Cited by 25,799 · see citing works
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221 · see citing works
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566 · see citing works
A logical calculus of the ideas immanent in nervous activity
McCulloch, W., & Pitts, W. (1990) · The Philosophy of Artificial Intelligence · doi:10.1007/bf02459570 · Cited by 16,928 · see citing works
THE STRUCTURE OF SCIENTIFIC REVOLUTIONS
McGuire, J. E. (1963) · Philosophical Books · doi:10.1111/j.1468-0149.1963.tb00813.x · Cited by 8,544 · see citing works
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · see citing works
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984 · see citing works
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761 · see citing works
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495 · see citing works
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472 · see citing works
Working Memory: Theories, Models, and Controversies
Baddeley, A. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100422 · Cited by 4,271 · see citing works
Connectionism and cognitive architecture: A critical analysis
Fodor, J. A., & Pylyshyn, Z. W. (1988) · Cognition · doi:10.1016/0010-0277(88)90031-5 · Cited by 4,022 · see citing works
Relevance. Communication and cognition
Stoerig, P. (1987) · Neuropsychologia · doi:10.1016/0028-3932(87)90070-4 · Cited by 3,926 · see citing works
Bienenstock, E., Cooper, L., & Munro, P. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-01-00032.1982 · Cited by 2,896 · see citing works
Rasch, B., & Born, J. (2013) · Physiological Reviews · doi:10.1152/physrev.00032.2012 · Cited by 2,783 · see citing works
Neocortical excitation/inhibition balance in information processing and social dysfunction
Yizhar, O., Fenno, L. E., Prigge, M., Schneider, F., Davidson, T. J., O’Shea, D. J., Sohal, V. S., Goshen, I., Finkelstein, J., Paz, J. T., et al. (2011) · Nature · doi:10.1038/nature10360 · Cited by 2,454 · see citing works
Clinical experience and laboratory investigations in patients with anti-NMDAR encephalitis
Dalmau, J. O., Lancaster, E., Martínez‐Hernández, E., Rosenfeld, M. R., & Balice‐Gordon, R. J. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70253-2 · Cited by 2,428 · see citing works
Neural synchrony in brain disorders: Relevance for cognitive dysfunctions and pathophysiology
Uhlhaas, P. J., & Singer, W. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.020 · Cited by 2,194 · see citing works
Abnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120 · see citing works
GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits
Tremblay, R., Lee, S., & Rudy, B. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.033 · Cited by 2,033 · see citing works
(2019) · Nature Communications · doi:10.1038/41467.2041-1723 · Cited by 1,914 · see citing works
Normalization as a canonical neural computation
Carandini, M., & Heeger, D. J. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3136 · Cited by 1,906 · see citing works
A cortical–hippocampal system for declarative memory
Eichenbaum, H. (2000) · Nature reviews. Neuroscience · doi:10.1038/35036213 · Cited by 1,725 · see citing works
Opening the Black Box of Deep Neural Networks via InformationPreprint
Shwartz-Ziv, R., & Tishby, N. (2017) · arXiv.org · doi:10.48550/arxiv.1703.00810 · Cited by 1,674 · see citing works
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600 · see citing works
Multisensory integration: current issues from the perspective of the single neuron
Stein, B. E., & Stanford, T. R. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2331 · Cited by 1,598 · see citing works
Control of sleep and wakefulness
Brown, R. E., Basheer, R., McKenna, J. T., Strecker, R. E., & McCarley, R. W. (2012) · Physiological Reviews · doi:10.1152/physrev.00032.2011 · Cited by 1,477 · see citing works
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457 · see citing works
A neural basis for social cooperation
Rilling, J. K., Gutman, D. A., Zeh, T. R., Pagnoni, G., Berns, G. S., & Kilts, C. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00755-9 · Cited by 1,451 · see citing works
Top-down modulation: bridging selective attention and working memory
Gazzaley, A., & Nobre, A. C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.014 · Cited by 1,404 · see citing works
Development itself is the key to understanding developmental disorders
Karmiloff-Smith, A. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01230-3 · Cited by 1,299 · see citing works
The neural circuit of orexin (hypocretin): maintaining sleep and wakefulness
Sakurai, T. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2092 · Cited by 1,276 · see citing works
Synaptic theory of working memory
Mongillo, G., Barak, O., & Tsodyks, M. (2008) · Science · doi:10.1126/science.1150769 · Cited by 1,253 · see citing works
Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00020 · Cited by 1,252 · see citing works
Histamine in the Nervous System
Haas, H. L., Sergeeva, O. A., & Selbach, O. (2008) · Physiological Reviews · doi:10.1152/physrev.00043.2007 · Cited by 1,227 · see citing works
The neocortical circuit: themes and variations
Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215 · see citing works
Cognition does not affect perception: Evaluating the evidence for “top-down” effects
Firestone, C., & Scholl, B. J. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000965 · Cited by 1,200 · see citing works
A new cellular mechanism for coupling inputs arriving at different cortical layers
Larkum, M. E., Zhu, J. J., & Sakmann, B. (1999) · Nature · doi:10.1038/18686 · Cited by 1,180 · see citing works
Change blindness: Past, present, and future
Simons, D. J., & Rensink, R. A. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.11.006 · Cited by 1,153 · see citing works
Changing concepts of working memory
Ma, W. J., Husain, M., & Bays, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3655 · Cited by 1,127 · see citing works
Sachs, J. L., Mueller, U. G., Wilcox, T. P., & Bull, J. J. (2004) · The Quarterly Review of Biology · doi:10.1086/383541 · Cited by 1,096 · see citing works
Egner, T., & Hirsch, J. (2005) · Nature Neuroscience · doi:10.1038/nn1594 · Cited by 1,095 · see citing works
The influence of culture: holistic versus analytic perception
Nisbett, R. E., & Miyamoto, Y. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.004 · Cited by 1,081 · see citing works
The Varieties of Religious Experience.
Coe, G. A., & James, W. H. (1903) · The Philosophical Review · doi:10.2307/2176818 · Cited by 1,055 · see citing works
Hyperpolarization-Activated Cation Channels: From Genes to Function
Biel, M., Wahl‐Schott, C., Michalakis, S., & Zong, X. (2009) · Physiological Reviews · doi:10.1152/physrev.00029.2008 · Cited by 1,005 · see citing works
On the distinction between sensory storage and short-term visual memory
Phillips, W. A. (1974) · Perception & Psychophysics · doi:10.3758/bf03203943 · Cited by 997 · see citing works
Self-citationCourchesne, E., & Pierce, K. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.03.001 · Cited by 968 · see citing works
The Neuropsychopharmacology of Fronto-Executive Function: Monoaminergic Modulation
Robbins, T. W., & Arnsten, A. F. T. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135535 · Cited by 957 · see citing works
Autism: cognitive deficit or cognitive style?
Happé, F. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01318-2 · Cited by 957 · see citing works
Kapadia, M. K., Ito, M., Gilbert, C. D., & Westheimer, G. (1995) · Neuron · doi:10.1016/0896-6273(95)90175-2 · Cited by 941 · see citing works
Brain States: Top-Down Influences in Sensory Processing
Gilbert, C. D., & Sigman, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.019 · Cited by 936 · see citing works
Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex
Reimer, J., McGinley, M. J., Liu, Y., Rodenkirch, C., Wang, Q., McCormick, D. A., & Tolias, A. S. (2016) · Nature Communications · doi:10.1038/ncomms13289 · Cited by 926 · see citing works
The Distributed Nature of Working Memory
Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.007 · Cited by 882 · see citing works
A Quantitative Map of the Circuit of Cat Primary Visual Cortex
Binzegger, T., Douglas, R. J., & Martin, K. A. C. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1400-04.2004 · Cited by 879 · see citing works
Contextual modulation in primary visual cortex
Zipser, K., Lamme, V. A. F., & Schiller, P. H. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-22-07376.1996 · Cited by 873 · see citing works
Prefrontal–hippocampal interactions in episodic memory
Eichenbaum, H. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.74 · Cited by 870 · see citing works
Consciousness without a cerebral cortex: A challenge for neuroscience and medicine
Merker, B. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07000891 · Cited by 868 · see citing works
The neural basis of cognitive development: A constructivist manifesto
Quartz, S. R., & B, T. J. S. A. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x97001581 · Cited by 856 · see citing works
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
Stokes, M. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.004 · Cited by 850 · see citing works
Autism: Explaining the enigma.
Wolff, S. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.t01-3-00211.x · Cited by 822 · see citing works
Consciousness: here, there and everywhere?
Tononi, G., & Koch, C. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0167 · Cited by 811 · see citing works
Long-range and local circuits for top-down modulation of visual cortex processing
Zhang, S., Xu, M., Kamigaki, T., Hoang Do, J. P., Chang, W.-C., Jenvay, S., Miyamichi, K., Luo, L., & Dan, Y. (2014) · Science · doi:10.1126/science.1254126 · Cited by 804 · see citing works
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801 · see citing works
Less Is More: Expectation Sharpens Representations in the Primary Visual Cortex
Kok, P., Jehee, J. F. M., & de Lange, F. P. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.034 · Cited by 798 · see citing works
Vagaries of Visual Perception in Autism
Dakin, S. C., & Frith, U. (2005) · Neuron · doi:10.1016/j.neuron.2005.10.018 · Cited by 763 · see citing works
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex
Markov, N. T., Vezoli, J., Chameau, P., Falchier, A., Quilodran, R., Huissoud, C., Lamy, C., Misery, P., Giroud, P., Ullman, S., et al. (2014) · Journal of Comparative Neurology · doi:10.1002/cne.23458 · Cited by 759 · see citing works
A disinhibitory circuit mediates motor integration in the somatosensory cortex
Lee, S., Kruglikov, I., Huang, Z. J., Fishell, G., & Rudy, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3544 · Cited by 758 · see citing works
A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex
Larkum, M. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2012.11.006 · Cited by 755 · see citing works
Stress weakens prefrontal networks: molecular insults to higher cognition
Arnsten, A. F. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4087 · Cited by 752 · see citing works
Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies
Curry, O. S., Mullins, D., & Whitehouse, H. (2019) · Current Anthropology · doi:10.1086/701478 · Cited by 743 · see citing works
Darwin on Man: A Psychological Study of Scientific Creativity
Johnson, D. M., Gruber, H. E., & Barrett, P. H. (1975) · The American Journal of Psychology · doi:10.2307/1421785 · Cited by 734 · see citing works
Sydnor, V. J., Larsen, B., Bassett, D. S., Alexander‐Bloch, A. F., Fair, D. A., Liston, C. M., Mackey, A. P., Milham, M. P., Pines, A. R., Roalf, D. R., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.016 · Cited by 725 · see citing works
Dendritic Excitability and Synaptic Plasticity
Sjöström, P. J., Rancz, E. A., Roth, A., & Häusser, M. (2008) · Physiological Reviews · doi:10.1152/physrev.00016.2007 · Cited by 721 · see citing works
The neuronal basis for consciousness
The American Association for Research into Nervous and Mental Diseases, Llinás, R., Ribary, U., Contreras, D., & Pedroarena, C. M. (1998) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1998.0336 · Cited by 710 · see citing works
A neural circuit for spatial summation in visual cortex
Adesnik, H., Bruns, W., Taniguchi, H., Huang, Z. J., & Scanziani, M. (2012) · Nature · doi:10.1038/nature11526 · Cited by 702 · see citing works
Mather, M., Clewett, D., Sakaki, M., & Harley, C. W. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000667 · Cited by 695 · see citing works
The thalamic matrix and thalamocortical synchrony
Jones, E. G. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01922-6 · Cited by 688 · see citing works
Synaptic integration in tuft dendrites of layer 5 pyramidal neurons: a new unifying principle
Larkum, M. E., Nevian, T., Sandler, M., Polsky, A., & Schiller, J. (2009) · Science · doi:10.1126/science.1171958 · Cited by 677 · see citing works
Sarter, M., Hasselmo, M. E., Bruno, J. P., & Givens, B. (2005) · Brain Research Reviews · doi:10.1016/j.brainresrev.2004.08.006 · Cited by 667 · see citing works
Unconscious influences on decision making: A critical review
Newell, B. R., & Shanks, D. R. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003214 · Cited by 652 · see citing works
Somatic EPSP amplitude is independent of synapse location in hippocampal pyramidal neurons
Magee, J. C., & Cook, E. P. (2000) · Nature Neuroscience · doi:10.1038/78800 · Cited by 646 · see citing works
Dendritic but not somatic GABAergic inhibition is decreased in experimental epilepsy
Cossart, R., Dinocourt, C., Hirsch, J. C., Merchán-Pérez, Á., DeFelipe, J., Ben‐Ari, Y., Esclapez, M., & Bernard, C. (2001) · Nature Neuroscience · doi:10.1038/82900 · Cited by 597 · see citing works
Dynamic hidden states underlying working-memory-guided behavior
Wolff, M. J., Jochim, J., Akyürek, E. G., & Stokes, M. G. (2017) · Nature Neuroscience · doi:10.1038/nn.4546 · Cited by 585 · see citing works
Reactivation of latent working memories with transcranial magnetic stimulation
Rose, N. S., LaRocque, J. J., Riggall, A. C., Gosseries, O., Starrett, M. J., Meyering, E. E., & Postle, B. R. (2016) · Science · doi:10.1126/science.aah7011 · Cited by 574 · see citing works
Dendritic action potentials and computation in human layer 2/3 cortical neurons
Gidon, A., Zolnik, T. A., Fidzinski, P., Bolduan, F., Papoutsi, A., Poirazi, P., Holtkamp, M., Vida, I., & Larkum, M. E. (2020) · Science · doi:10.1126/science.aax6239 · Cited by 572 · see citing works
Self-organizing neural network that discovers surfaces in random-dot stereograms
Becker, S., & Hinton, G. E. (1992) · Nature · doi:10.1038/355161a0 · Cited by 559 · see citing works
Nonlinear dendritic integration of sensory and motor input during an active sensing task
Xu, N.-L., Harnett, M. T., Williams, S. R., Huber, D., O’Connor, D. H., Svoboda, K., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11601 · Cited by 548 · see citing works
A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation.
Kovács, I., & Julesz, B. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.16.7495 · Cited by 541 · see citing works
Arnsten, A. F. T., Wang, M. J., & Paspalas, C. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.038 · Cited by 538 · see citing works
Architectonic Mapping of the Human Brain beyond Brodmann
Amunts, K., & Zilles, K. (2015) · Neuron · doi:10.1016/j.neuron.2015.12.001 · Cited by 534 · see citing works
The origin and evolution of synapses
Ryan, T. J., & Grant, S. G. N. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2717 · Cited by 527 · see citing works
The Evolution of the Brain, the Human Nature of Cortical Circuits, and Intellectual Creativity
DeFelipe, J. (2011) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2011.00029 · Cited by 527 · see citing works
A Network Model of the Emotional Brain
Pessoa, L. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.002 · Cited by 526 · see citing works
Borgdorff, A. J., Poulet, J. F. A., & Petersen, C. C. H. (1938) · Nature · doi:10.1038/141599c0 · Cited by 522 · see citing works
Life's solution: inevitable humans in a lonely universe
Morris, C. (2004) · Choice Reviews Online · doi:10.5860/choice.41-5285 · Cited by 522 · see citing works
James, W. (1904) · The Journal of Philosophy, Psychology and Scientific Methods · doi:10.2307/2011942 · Cited by 519 · see citing works
Color realism and color science
Byrne, A., & Hilbert, D. R. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000013 · Cited by 518 · see citing works
Thalamic functions in distributed cognitive control
Halassa, M. M., & Kästner, S. (2017) · Nature Neuroscience · doi:10.1038/s41593-017-0020-1 · Cited by 513 · see citing works
Closed-Loop Control of Epilepsy by Transcranial Electrical Stimulation
Berényi, A., Belluscio, M., Mao, D., & Buzsáki, G. (2012) · Science · doi:10.1126/science.1223154 · Cited by 478 · see citing works
Serotonin modulation of cortical neurons and networks
Celada, P., Puig, M. V., & Artigas, F. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00025 · Cited by 462 · see citing works
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningPreprint
Mohamed, S., & Rezende, D. J. (2015) · Neural Information Processing Systems · doi:10.48550/arxiv.1509.08731 · Cited by 460 · see citing works
Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia
Phillips, W. A., & Silverstein, S. M. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000025 · Cited by 445 · see citing works
Self-citationActive properties of neocortical pyramidal neuron dendrites
Major, G., Larkum, M. E., & Schiller, J. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150343 · Cited by 443 · see citing works
Benchmarks for models of short-term and working memory.
Oberauer, K., Lewandowsky, S., Awh, E., Brown, G. D. A., Conway, A. R. A., Cowan, N., Donkin, C., Farrell, S., Hitch, G. J., Hurlstone, M. J., et al. (2018) · Psychological Bulletin · doi:10.1037/bul0000153 · Cited by 441 · see citing works
Principles of Neuropsychopharmacology
Feldman, R. S., Meyer, J. S., & Quenzer, L. F. (1997) · Cited by 437 · see citing works
Crutchfield, J. P. (2011) · Nature Physics · doi:10.1038/nphys2190 · Cited by 435 · see citing works
Sjöström, P. J., & Häusser, M. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.017 · Cited by 433 · see citing works
Attention reverses the effect of prediction in silencing sensory signals
Kok, P., Rahnev, D., Jehee, J. F. M., Lau, H. C., & de Lange, F. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr310 · Cited by 430 · see citing works
Contextual Feedback to Superficial Layers of V1
Muckli, L., De Martino, F., Vizioli, L., Petro, L. S., Smith, F. W., Ugurbil, K., Goebel, R., & Yacoub, E. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.057 · Cited by 423 · see citing works
Top-down predictions in the cognitive brain
Kveraga, K., Ghuman, A. S., & Bar, M. (2007) · Brain and Cognition · doi:10.1016/j.bandc.2007.06.007 · Cited by 423 · see citing works
Larkum, M. E., Zhu, J., & Sakmann, B. J. (2001) · The Journal of Physiology · doi:10.1111/j.1469-7793.2001.0447a.x · Cited by 419 · see citing works
Active cortical dendrites modulate perception
Takahashi, N., Oertner, T. G., Hegemann, P., & Larkum, M. E. (2016) · Science · doi:10.1126/science.aah6066 · Cited by 419 · see citing works
Working memory of numerals in chimpanzees
Inoue, S., & Matsuzawa, T. (2007) · Current Biology · doi:10.1016/j.cub.2007.10.027 · Cited by 418 · see citing works
Sound-Driven Synaptic Inhibition in Primary Visual Cortex
Iurilli, G., Ghezzi, D., Olcese, U., Lassi, G., Nazzaro, C., Tonini, R., Tucci, V., Benfenati, F., & Medini, P. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.026 · Cited by 408 · see citing works
Wang, X.-J., Tegner, J. N., Constantinidis, C., & Goldman‐Rakic, P. S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305337101 · Cited by 405 · see citing works
Disinhibition, a Circuit Mechanism for Associative Learning and Memory
Letzkus, J. J., Wolff, S. B. E., & Lüthi, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.024 · Cited by 401 · see citing works
Surfing uncertainty: prediction, action and the embodied mind
Bruineberg, J. P., & Froese, T. (2016) · International Journal of Performance Arts and Digital Media · doi:10.1080/14794713.2016.1257478 · Cited by 400 · see citing works
The astonishing hypothesis: the scientific search for the soul
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5724 · Cited by 399 · see citing works
Abdallah, C., Averill, L., Krystal, J., Southwick, S., & Arnsten, A. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15001727 · Cited by 397 · see citing works
Kim, Y., Yang, G. R., Pradhan, K., Venkataraju, K. U., Bota, M., García del Molino, L. C., Fitzgerald, G., Ram, K., He, M., Levine, J. M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.020 · Cited by 389 · see citing works
Motivational activation: a unifying hypothesis of orexin/hypocretin function
Mahler, S. V., Moorman, D. E., Smith, R. J., James, M. H., & Aston‐Jones, G. (2014) · Nature Neuroscience · doi:10.1038/nn.3810 · Cited by 385 · see citing works
Dependence of EPSP Efficacy on Synapse Location in Neocortical Pyramidal Neurons
Williams, S. R., & Stuart, G. J. (2002) · Science · doi:10.1126/science.1067903 · Cited by 378 · see citing works
Pulvinar-Cortex Interactions in Vision and Attention
Zhou, H., Schafer, R. J., & Desimone, R. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.034 · Cited by 370 · see citing works
Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons
Larkum, M. E. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh065 · Cited by 366 · see citing works
Foetal Alcohol Spectrum Disorders and Alterations in Brain and Behaviour
Guerri, C., Bazinet, A. D., & Riley, E. P. (2009) · Alcohol and Alcoholism · doi:10.1093/alcalc/agn105 · Cited by 365 · see citing works
Thalamic nuclei convey diverse contextual information to layer 1 of visual cortex
Roth, M., Dahmen, J. C., Muir, D. R., Imhof, F., Martini, F. J., & Hofer, S. B. (2015) · Nature Neuroscience · doi:10.1038/nn.4197 · Cited by 356 · see citing works
Recurrent neuronal circuits in the neocortex
Douglas, R. J., & Martin, K. A. C. (2007) · Current Biology · doi:10.1016/j.cub.2007.04.024 · Cited by 354 · see citing works
Constraints on cortical and thalamic projections: the no-strong-loops hypothesis
Crick, F., & Koch, C. (1998) · Nature · doi:10.1038/34584 · Cited by 353 · see citing works
Emerging rules for the distributions of active dendritic conductances
Migliore, M., & Shepherd, G. M. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn810 · Cited by 351 · see citing works
Parallel processing by cortical inhibition enables context-dependent behavior
Kuchibhotla, K. V., Gill, J. V., Lindsay, G. W., Papadoyannis, E. S., Field, R. E., Sten, T. H., Miller, K. D., & Froemke, R. C. (2016) · Nature Neuroscience · doi:10.1038/nn.4436 · Cited by 350 · see citing works
Thinking through other minds: A variational approach to cognition and culture
Veissière, S. P. L., Constant, A., Ramstead, M. J. D., Friston, K. J., & Kirmayer, L. J. (2020) · Behavioral and Brain Sciences · doi:10.1017/s0140525x19001213 · Cited by 348 · see citing works
General anesthesia decouples cortical pyramidal neurons
Suzuki, M., & Larkum, M. E. (2020) · Cell · doi:10.1016/j.cell.2020.01.024 · Cited by 348 · see citing works
Liu, R.-J., & Aghajanian, G. K. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706679105 · Cited by 346 · see citing works
In search of common foundations for cortical computation
Phillips, W. A., & Singer, W. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9700160x · Cited by 338 · see citing works
Self-citationThe organization of two new cortical interneuronal circuits
Jiang, X., Wang, G., Lee, A. J., Stornetta, R. L., & Zhu, J. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3305 · Cited by 338 · see citing works
Fave, A. D., Brdar, I., Wissing, M. P., de Araújo, U. F., Solano, A. C., Freire, T., Pozo, M. D. R. H., Jose, P. E., Martos, T., Nafstad, H. E., et al. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00030 · Cited by 336 · see citing works
Global processing takes time: A meta-analysis on local–global visual processing in ASD.
der Hallen, R. V., Evers, K., Brewaeys, K., Noortgate, W. V. D., & Wagemans, J. P. (2014) · Psychological Bulletin · doi:10.1037/bul0000004 · Cited by 333 · see citing works
Separating cognitive capacity from knowledge: a new hypothesis
Halford, G. S., Cowan, N., & Andrews, G. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.001 · Cited by 324 · see citing works
Global Forebrain Dynamics Predict Rat Behavioral States and Their Transitions
Gervasoni, D., Lin, S., Ribeiro, S. T. G., Soares, E. S., Pantoja, J., & Nicolelis, M. A. L. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.3524-04.2004 · Cited by 323 · see citing works
Decoding sound and imagery content in early visual cortex
Vetter, P., Smith, F. W., & Muckli, L. (2014) · Current Biology · doi:10.1016/j.cub.2014.04.020 · Cited by 323 · see citing works
Thalamocortical Circuit Motifs: A General Framework
Halassa, M. M., & Sherman, S. M. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.005 · Cited by 322 · see citing works
Cellular Mechanisms of Conscious Processing
Aru, J., Suzuki, M., & Larkum, M. E. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.07.006 · Cited by 321 · see citing works
NMDA spikes enhance action potential generation during sensory input
Palmer, L. M., Shai, A. S., Reeve, J. E., Anderson, H. L., Paulsen, O., & Larkum, M. E. (2014) · Nature Neuroscience · doi:10.1038/nn.3646 · Cited by 321 · see citing works
Altered neural connectivity in excitatory and inhibitory cortical circuits in autism
Zikopoulos, B., & Barbas, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00609 · Cited by 313 · see citing works
Input normalization by global feedforward inhibition expands cortical dynamic range
Pouille, F., Marin-Burgin, A., Adesnik, H., Atallah, B. V., & Scanziani, M. (2009) · Nature Neuroscience · doi:10.1038/nn.2441 · Cited by 306 · see citing works
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 303 · see citing works
Jarsky, T., Roxin, A., Kath, W. L., & Spruston, N. (2005) · Nature Neuroscience · doi:10.1038/nn1599 · Cited by 301 · see citing works
Enhanced Dendritic Compartmentalization in Human Cortical Neurons
Beaulieu-Laroche, L., Toloza, E. H. S., van der Goes, M.-S., Lafourcade, M., Barnagian, D., Williams, Z. M., Eskandar, E. N., Frosch, M. P., Cash, S. S., & Harnett, M. T. (2018) · Cell · doi:10.1016/j.cell.2018.08.045 · Cited by 296 · see citing works
Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type
Boldog, E., Bakken, T. E., Hodge, R. D., Novotny, M., Aevermann, B. D., Baka, J., Bordé, S., Close, J. L., Diez-Fuertes, F., Ding, S.-L., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0205-2 · Cited by 291 · see citing works
Connectionism and cognitive architecture: A critical analysis
(1988) · The MIT Press eBooks · doi:10.7551/mitpress/2103.003.0002 · Cited by 291 · see citing works
Bastos, A. M., Loonis, R., Kornblith, S., Lundqvist, M., & Miller, E. K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710323115 · Cited by 290 · see citing works
Ibrahim, L. A., Mesik, L., Ji, X., Fang, Q., Li, H.-F., Li, Y.-T., Zingg, B., Zhang, L. I., & Tao, H. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.027 · Cited by 287 · see citing works
Contour Saliency in Primary Visual Cortex
Li, W., Piëch, V., & Gilbert, C. D. (2006) · Neuron · doi:10.1016/j.neuron.2006.04.035 · Cited by 285 · see citing works
Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not
Lundqvist, M., Herman, P. A., & Miller, E. K. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2485-17.2018 · Cited by 284 · see citing works
van Kerkoerle, T., Self, M. W., & Roelfsema, P. R. (2017) · Nature Communications · doi:10.1038/ncomms13804 · Cited by 281 · see citing works
Alcohol and cognitive control: Implications for regulation of behavior during response conflict.
Curtin, J. J., & Fairchild, B. A. (2003) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.112.3.424 · Cited by 281 · see citing works
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network
Linsker, R. (1992) · Neural Computation · doi:10.1162/neco.1992.4.5.691 · Cited by 280 · see citing works
Persistent Spiking Activity Underlies Working Memory
Constantinidis, C., Funahashi, S., Lee, D., Murray, J. D., Qi, X.-L., Wang, M., & Arnsten, A. F. T. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2486-17.2018 · Cited by 274 · see citing works
Dendritic spikes in apical dendrites of neocortical layer 2/3 pyramidal neurons
Larkum, M. E., Waters, J., Sakmann, B., & Helmchen, F. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.1717-07.2007 · Cited by 274 · see citing works
Higher-Order Thalamocortical Inputs Gate Synaptic Long-Term Potentiation via Disinhibition
Williams, L. E., & Holtmaat, A. J. D. G. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.049 · Cited by 270 · see citing works
Short-term memory and long-term memory are still different.
Norris, D. G. (2017) · Psychological Bulletin · doi:10.1037/bul0000108 · Cited by 266 · see citing works
Reevaluating the Sensory Account of Visual Working Memory Storage
Xu, Y. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.06.013 · Cited by 264 · see citing works
Enhanced pure-tone pitch discrimination among persons with autism but not Asperger syndrome
Bonnel, A., McAdams, S., Smith, B., Berthiaume, C., Bertone, A., Ciocca, V., Burack, J. A., & Mottron, L. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.04.020 · Cited by 262 · see citing works
Arousal systems and attention.
Robbins, T. W., & Everitt, B. J. (1995) · Cited by 257 · see citing works
Nash Unsworth, A., & Robison, M. K. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1220-5 · Cited by 255 · see citing works
Untangling the cortico-thalamo-cortical loop: cellular pieces of a knotty circuit puzzle
Shepherd, G. M., & Yamawaki, N. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00459-3 · Cited by 255 · see citing works
Single cortical neurons as deep artificial neural networks
Beniaguev, D., Segev, I., & London, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.002 · Cited by 254 · see citing works
Synaptic physiology of horizontal afferents to layer I in slices of rat SI neocortex
Cauller, L., & Connors, B. W. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-02-00751.1994 · Cited by 252 · see citing works
Distinct Roles of the Cortical Layers of Area V1 in Figure-Ground Segregation
Self, M. W., van Kerkoerle, T., Supèr, H., & Roelfsema, P. R. (2013) · Current Biology · doi:10.1016/j.cub.2013.09.013 · Cited by 249 · see citing works
Control of synaptic plasticity in deep cortical networks
Roelfsema, P. R., & Holtmaat, A. J. D. G. (2018) · Nature reviews. Neuroscience · doi:10.1038/nrn.2018.6 · Cited by 245 · see citing works
A connectomic study of a petascale fragment of human cerebral cortex
Shapson-Coe, A., Januszewski, M., Berger, D. R., Pope, A., Wu, Y., Blakely, T., Schalek, R. L., Li, P. H., Wang, S., Maitin-Shepard, J., et al. (2021) · doi:10.1101/2021.05.29.446289 · Cited by 243 · see citing works
The neural basis of one's own conscious and unconscious emotional states
Smith, R. S., & Lane, R. D. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.003 · Cited by 240 · see citing works
Predictive coding as a model of biased competition in visual attention
Spratling, M. (2008) · Vision Research · doi:10.1016/j.visres.2008.03.009 · Cited by 240 · see citing works
Gating and control of primary visual cortex by pulvinar
Purushothaman, G., Marion, R., Li, K., & Casagrande, V. A. (2012) · Nature Neuroscience · doi:10.1038/nn.3106 · Cited by 236 · see citing works
Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics
Shine, J. M., Müller, E. J., Munn, B., Cabral, J., Moran, R., & Breakspear, M. J. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00824-6 · Cited by 236 · see citing works
Thalamic control of functional cortical connectivity
Nakajima, M., & Halassa, M. M. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.04.001 · Cited by 232 · see citing works
Interference with Visualization
Phillips, W. A., & Christie, D. (1977) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640747708400638 · Cited by 232 · see citing works
Self-citationReciprocal Circuits Linking the Prefrontal Cortex with Dorsal and Ventral Thalamic Nuclei
Collins, D. P., Anastasiades, P. G., Marlin, J. J., & Carter, A. G. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.024 · Cited by 231 · see citing works
Grammatical Man: Information, Entropy, Language and Life
Campbell, J. P. (1982) · Americanae (AECID Library) · Cited by 231 · see citing works
Active dendritic currents gate descending cortical outputs in perception
Takahashi, N., Ebner, C., Sigl-Glöckner, J., Moberg, S., Nierwetberg, S., & Larkum, M. E. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0677-8 · Cited by 231 · see citing works
Freese, J. L., & Amaral, D. G. (2005) · The Journal of Comparative Neurology · doi:10.1002/cne.20520 · Cited by 228 · see citing works
Dendritic channelopathies contribute to neocortical and sensory hyperexcitability in Fmr1−/y mice
Zhang, Y., Bonnan, A., Bony, G., Férézou, I., Pietropaolo, S., Ginger, M. R., Sans, N., Rossier, J., Oostra, B. A., LeMasson, G., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3864 · Cited by 227 · see citing works
Requirement of dendritic calcium spikes for induction of spike‐timing‐dependent synaptic plasticity
Kampa, B. M., Letzkus, J. J., & Stuart, G. J. (2006) · The Journal of Physiology · doi:10.1113/jphysiol.2006.111062 · Cited by 226 · see citing works
Working memory, attention, and salience in active inference
Parr, T., & Friston, K. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-15249-0 · Cited by 226 · see citing works
Responses of pulvinar neurons reflect a subject's confidence in visual categorization
Komura, Y., Nikkuni, A., Hirashima, N., Uetake, T., & Miyamoto, A. (2013) · Nature Neuroscience · doi:10.1038/nn.3393 · Cited by 226 · see citing works
Layer I of primary sensory neocortex: where top-down converges upon bottom-up
Cauller, L. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(95)00032-1 · Cited by 225 · see citing works
Numbers of neurons as biological correlates of cognitive capability
Herculano-Houzel, S. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.02.004 · Cited by 224 · see citing works
A Bivariate Measure of Redundant Information
Harder, M., Salge, C., & Polani, D. (2012) · Physical review. E, Statistical, nonlinear, and soft matter physics · doi:10.1103/physreve.87.012130 · Cited by 216 · see citing works
Feedback generates a second receptive field in neurons of the visual cortex
Keller, A. J., Roth, M., & Scanziani, M. (2020) · Nature · doi:10.1038/s41586-020-2319-4 · Cited by 206 · see citing works
The importance of being hierarchical
Markov, N. T., & Kennedy, H. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.008 · Cited by 204 · see citing works
Kalmbach, B. E., Buchin, A., Long, B., Close, J., Nandi, A., Miller, J. A., Bakken, T. E., Hodge, R. D., Chong, P., de Frates, R., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.012 · Cited by 203 · see citing works
Specific basal forebrain-cortical cholinergic circuits coordinate cognitive operations
Záborszky, L., Gombkoto, P., Varsanyi, P., Gielow, M. R., Poe, G., Role, L. W., Ananth, M., Rajebhosale, P., Talmage, D. A., Hasselmo, M. E., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1676-18.2018 · Cited by 202 · see citing works
Virtual reality and consciousness inference in dreaming
Hobson, J. A., Hong, C. C.-H., & Friston, K. J. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01133 · Cited by 197 · see citing works
The elephant in the room: What matters cognitively in cumulative technological culture
Osiurak, F., & Reynaud, E. (2019) · Behavioral and Brain Sciences · doi:10.1017/s0140525x19003236 · Cited by 194 · see citing works
Stimulus configuration and context effects in perceptual organization in schizophrenia
Silverstein, S. M., Knight, R. A., Schwarzkopf, S. B., West, L. L., Osborn, L. M., & Kamin, D. (1996) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.105.3.410 · Cited by 191 · see citing works
Meredith, R. M., Holmgren, C. D., Weidum, M., Burnashev, N., & Mansvelder, H. D. (2007) · Neuron · doi:10.1016/j.neuron.2007.04.028 · Cited by 190 · see citing works
A blanket of inhibition: functional inferences from dense inhibitory connectivity
Karnani, M. M., Agetsuma, M., & Yuste, R. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.12.015 · Cited by 188 · see citing works
Cerebral cortex : principles of operation
Rolls, E. T. (2016) · doi:10.82444/warw.33712699 · Cited by 187 · see citing works
Selective synaptic remodeling of amygdalocortical connections associated with fear memory
Yang, Y., Liu, D., Huang, W., Deng, J., Sun, Y.-G., Zuo, Y., & Poo, M. (2016) · Nature Neuroscience · doi:10.1038/nn.4370 · Cited by 187 · see citing works
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An integrative, multiscale view on neural theories of consciousness
Storm, J. F., Klink, P. C., Aru, J., Senn, W., Goebel, R., Pigorini, A., Avanzini, P., Vanduffel, W., Roelfsema, P. R., Massimini, M., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.02.004 · Cited by 114 · see citing works
Graham, B. P., Kay, J., & Phillips, W. A. (2025) · Neural Computation · doi:10.1162/neco_a_01739 · Cited by 7 · see citing works
Self-citationPastorelli, E., Yegenoglu, A., Kolodziej, N., Wybo, W. A. M., Simula, F., Diaz-Pier, S., Storm, J. F., & Paolucci, P. S. (2025) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2025.1566196 · Cited by 4 · see citing works
A model of thalamo-cortical interaction for incremental binding in mental contour-tracing
Schmid, D., & Heiko Neumann, B. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012835 · Cited by 7 · see citing works
Semantization of memories in a hippocampal–cortical spiking neural network
D’Alba, F., Kushawaha, N., Fruzzetti, L., Paolucci, P. S., & Falotico, E. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.130323 · Cited by 4 · see citing works
Context-sensitive conscious interpretation and layer-5 pyramidal neurons in multistable perception
Bachmann, T. (2025) · Brain and Behavior · doi:10.1002/brb3.70393 · Cited by 3 · see citing works
Thalamo-Cortical Interaction for Incremental Binding in Mental Contour-TracingPreprint
Schmid, D., & Heiko Neumann, B. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.20.572705 · Cited by 3 · see citing works
Defects of Cortical Microcircuits Following Early Exposure to Alcohol
Granato, A. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-81908-7_1 · Cited by 1 · see citing works
Geloso, M. C., Sante, G. D., & Granato, A. (2026) · Cells · doi:10.3390/cells15100869 · Cited by 1 · see citing works
Control of two-pathway signal integration in a model neocortical pyramidal cellPreprint
Graham, B. P., Kay, J., & Phillips, W. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.21.649759
Self-citationWybo, W. A. M., Ewert, L., Linssen, C., Babu, P. N., Pastorelli, E., Paolucci, P. S., & Morrison, A. (2026) · Communications Biology · doi:10.1101/2025.06.30.662287
Cellular mechanisms of serotonergic psychedelics - apical hypercontextualisation
Kaup, K., Jiménez, J. H., & Aru, J. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106876
Local processors: Active dendrites and artificial intelligence
Hu, Y., Glatz, N. S., & Palmer, L. M. (2026) · Current Research in Neurobiology · doi:10.1016/j.crneur.2026.100169
- Authors
- Phillips, W. A.
- Affiliations
- University of Stirling (GB)
- Corresponding author
- Phillips, William A.
- ORCID
- Phillips, William A.
- Publisher
- Oxford University PressOxford
- Published
- 2023-04-20
- OpenAlex
- W4377022295
- Cited by
- 13
- References
- 428
- Citations by year
- 2026: 4 · 2025: 8 · 2023: 1
- FWCI
- 3.83
- Type
- book
- Language
- en
- Open access
- closed
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- neocortex, information amplification, information theory, perception, selective attention, working memory, imagery, cognitive control, learning, philosophy of mind, systems neuroscience
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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