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Neural Networks and Brain Function
Abstract
The aim of this book is to describe the types of computation that can be performed by biologically plausible neural networks, and to show how these may be implemented in different systems in the brain. The book is structured in three sections, each of which addresses a different need in the market. The first section introduces and describes the operation of several fundamental types of neural network. The second section describes real neural networks in several brain systems, and shows how it is becoming possible to construct theories about how some parts of the brain work; it also provides an indication of the different neuroscience and neurocomputation techniques that will need to be combined to ensure further rapid progress in understanding how parts of the brain work. The third section, a collection of appendices, introduces the more formal quantitative approaches to many of the networks described.
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Citations
Cites
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Cited by
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068
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Place Cells, Grid Cells, and the Brain's Spatial Representation System
Moser, E. I., Kropff, E., & Moser, M.-B. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.061307.090723 · Cited by 1,934
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The Orbitofrontal Cortex and Reward
Rolls, E. T. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.284 · Cited by 1,595
Self-citationThe functions of the orbitofrontal cortex
Rolls, E. T. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00277-x · Cited by 1,327
Self-citationA functional imaging study of cooperation in two-person reciprocal exchange
McCabe, K., Houser, D., Ryan, L., Smith, V., & Trouard, T. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211415698 · Cited by 984
Hippocampal synaptic plasticity, spatial memory and anxiety
Bannerman, D. M., Sprengel, R., Sanderson, D. J., McHugh, S. B., Rawlins, J. N. P., Monyer, H., & Seeburg, P. H. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3677 · Cited by 688
Dissociating hippocampal subregions: A double dissociation between dentate gyrus and CA1
Gilbert, P. E., Kesner, R. P., & Lee, I. (2001) · Hippocampus · doi:10.1002/hipo.1077 · Cited by 641
Bridging emotion theory and neurobiology through dynamic systems modeling
Lewis, M. D. (2005) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0500004x · Cited by 618
A computational theory of hippocampal function, and empirical tests of the theory
Rolls, E. T., & Kesner, R. P. (2006) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2006.04.005 · Cited by 608
Self-citationPlace cells and place recognition maintained by direct entorhinal-hippocampal circuitry
Brun, V. H., Otnæss, M. K., Molden, S., Steffenach, H.-A., Witter, M. P., Moser, M.-B., & Moser, E. I. (2002) · Science · doi:10.1126/science.1071089 · Cited by 606
Dense Inhibitory Connectivity in Neocortex
Fino, E., & Yuste, R. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.025 · Cited by 532
The mechanisms for pattern completion and pattern separation in the hippocampus
Rolls, E. T. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00074 · Cited by 545
Self-citationSpace in the brain: How the hippocampal formation supports spatial cognition
Hartley, T., Lever, C., Burgess, N., & O'Keefe, J. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0510 · Cited by 495
Cortical processing of odor objects.
Wilson, D. A., & Sullivan, R. M. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.027 · Cited by 468
Morris, R. G. M. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.04888.x · Cited by 398
Précis of The brain and emotion
Rolls, E. T. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00002429 · Cited by 397
Self-citationEnsemble Dynamics of Hippocampal Regions CA3 and CA1
Guzowski, J. F., Knierim, J. J., & Moser, E. I. (2004) · Neuron · doi:10.1016/j.neuron.2004.11.003 · Cited by 354
A computational theory of hippocampal function, and tests of the theory: New developments
Kesner, R. P., & Rolls, E. T. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.009 · Cited by 347
Self-citationHippocampal long-term depression: master or minion in declarative memory processes?
Kemp, A., & Manahan-Vaughan, D. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.01.002 · Cited by 336
Grid cells and cortical representation
Moser, E. I., Roudi, Y., Witter, M. P., Kentros, C., Bonhoeffer, T., & Moser, M.-B. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3766 · Cited by 335
Pattern separation, completion, and categorisation in the hippocampus and neocortex
Rolls, E. T. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.07.008 · Cited by 234
Self-citationBrain mechanisms for perceptual and reward-related decision-making
Deco, G., Rolls, E. T., Albantakis, L., & Romo, R. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.01.010 · Cited by 196
Self-citationGordon, A. M., Rissman, J., Kiani, R., & Wagner, A. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht194 · Cited by 173
Mannella, F., Gurney, K., & Baldassarre, G. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00135 · Cited by 166
A Dynamical Systems Hypothesis of Schizophrenia
Loh, M., Rolls, E. T., & Deco, G. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030228 · Cited by 164
Self-citationFace-selective and auditory neurons in the primate orbitofrontal cortex
Rolls, E. T., Critchley, H. D., Browning, A. S., & Inoue, K. (2006) · Experimental Brain Research · doi:10.1007/s00221-005-0191-y · Cited by 151
Self-citationGoldberg, J. H., Lacefield, C. O., & Yuste, R. (2004) · The Journal of Physiology · doi:10.1113/jphysiol.2004.064519 · Cited by 107
Primate amygdala neurons simulate decision processes of social partners
Grabenhorst, F., Báez-Mendoza, R., Genest, W., Deco, G., & Schultz, W. (2019) · Cell · doi:10.1016/j.cell.2019.02.042 · Cited by 103
“We suggest that the mapping from objectcentric value neurons to separate decision neurons for self and other could involve a competitive, feature-detection network (Rolls and Treves, 1998) coupled to an attractor decision-making network.”
BackgroundTsanov, M., & Manahan-Vaughan, D. (2008) · The Neuroscientist · doi:10.1177/1073858408315655 · Cited by 65
Clayton, D. F., Anreiter, I., Aristizabal, M., Frankland, P. W., Binder, E. B., & Citri, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820837116 · Cited by 56
A new mechanical approach to handle generalized Hopfield neural networks
Barra, A., Beccaria, M., & Fachechi, A. (2018) · Neural Networks · doi:10.1016/j.neunet.2018.07.010 · Cited by 53
Emotion, higher-order syntactic thoughts, and consciousness
Rolls, E. T. (2008) · Frontiers of ConsciousnessChichele Lectures · doi:10.1093/acprof:oso/9780199233151.003.0004 · Cited by 51
Self-citationRolls, E. T. (2012) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2011.06.017 · Cited by 39
Self-citation
Metadata
- Authors
- Rolls, E., & Treves, A.
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 1997-10-23
- OpenAlex
- W1546197084
- Cited by
- 887
- References
- 2
- FWCI
- 12.21
- Type
- book
- Language
- en
- Open access
- closed
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