Ландшафты мозга. Об удивительных искаженных картах нашего мозга и о том, как они ведут нас по жизни - Ребекка Шварцлоуз

(2007): 1415–27.

249

Caetano G. et al. Actor’s and Observer’s Primary Motor Cortices Stabilize Similarly After Seen or Heard Motor Actions. Proceedings of the National Academy of Sciences of the United States of America. 104 (2007): 9058–62.

250

Barrós-Loscertales A. et al. Reading Salt Activates Gustatory Brain Regions: fMRI Evidence for Semantic Grounding in a Novel Sensory Modality. Cerebral Cortex. 22 (2012): 2554–63; González J. et al. Reading cinnamon Activates Olfactory Brain Regions. Neuro-Image. 32 (2006): 906–12; Kiefer M. et al. The Sound of Concepts: Four Markers for a Link Between Auditory and Conceptual Brain Systems. Journal of Neuroscience. 28 (2008): 12224–30.

251

Lambon Ralph M.A. et al. The Neural and Computational Bases of Semantic Cognition. Nature Reviews Neuroscience. 18 (2017): 42–55.

252

Hodges J.R., Patterson K. Semantic Dementia: A Unique Clinicopathological Syndrome. Lancet Neurology. 6 (2007): 1004–14.

253

Hasson U. et al. Intersubject Synchronization of Cortical Activity During Natural Vision. Science. 303 (2004): 1634–40.

254

Huth A.G. et al. A Continuous Se-mantic Space Describes the Representation of Thousands of Object and Action Categories Across the Human Brain. Neuron. 76 (2012): 1210–24.

255

Stephens G.J. et al. Speaker-Listener Neural Coupling Underlies Successful Communication. Proceedings of the National Academy of Sciences of the United States of America. 107 (2010): 14425– 30.

256

Nguyen M. et al. Teacher-Student Neural Coupling During Teaching and Learning. bioRxiv (2020).

257

Turing J.D. The Man with the Terrible Trousers // Copeland B.J. et al. The Turing Guide. Eds. Oxford, UK: Oxford University Press, 2017.

258

Hodges A. Alan Turing: The Enigma. New York: Simon & Schuster, 1983.

259

Owen A. M. Into the Gray Zone: A Neuroscientist Explores the Border Between Life and Death. New York: Scribner, 2017.

260

Bayne T. et al. Are There Levels of Consciousness? Trends in Cognitive Sciences. 20 (2016): 405–13.

261

Owen A.M. et al. Detecting Awareness in the Vegetative State. Science. 313 (2006): 1402.

262

Monti M.M. et al. Willful Modulation of Brain Activity in Disorders of Consciousness. New England Journal of Medicine. 362 (2010): 579–89.

263

Cruse D. et al. Bedside Detection of Awareness in the Vegetative State: A Cohort Study. Lancet. 378 (2011): 2088–94.

264

Owen. Into the Gray Zone.

265

Wojciulik E. et al. Covert Visual Attention Modulates Face-Specific Activity in the Human Fusiform Gyrus: fMRI Study. Journal of Neurophysiology. 79 (1998): 1574–78.

266

Bettencourt M.T. de, et al. Closed-Loop Training of Attention with Real-Time Brain Imaging. Nature Neuroscience. 18 (2015): 470–75.

267

Lu H.D., Roe A.W. Functional Organization of Color Domains in V1 and V2 of Macaque Monkey Revealed by Optical Imaging. Cerebral Cortex. 18 (2008): 516–33.

268

Friedman R.M. et al. Modality Maps Within Primate Somatosensory Cortex. Proceedings of the National Academy of Sciences of the United States of America. 101 (2004): 12724–29.

269

Andermann M.L., Moore C.I. A Somatotopic Map of Vibrissa Motion Direction Within a Barrel Column. Nature Neuroscience. 9 (2006): 543–51.

270

Albers et al. Shared Representations; Kamitani Y., Tong F. Decoding the Visual and Subjective Contents of the Human Brain. Nature Neuroscience. 8 (2005): 679–85; Kay K.N. et al. Identifying Natural Images from Human Brain Activity. Nature. 452 (2008): 352–55; Naselaris T. et al. A Voxel-Wise Encoding Model for Early Visual Areas Decodes Mental Images of Remembered Scenes. NeuroImage. 105 (2015): 215–28; Polyn S.M. et al. Category-Specific Cortical Activity Precedes Retrieval During Memory Search. Science. 310 (2005): 1963–66.

271

Horikawa T. et al. Neural Decoding of Visual Imagery During Sleep. Science. 340 (2013): 639–42.

272

Formisano E. et al. “Who” Is Saying “What”? Brain-Based Decoding of Human Voice and Speech. Science. 322 (2008): 970–73.

273

Brodersen K.H. et al. Decoding the Perception of Pain from fMRI Using Multivariate Pattern Analysis. NeuroImage. 63 (2012): 1162– 70; Mitchell T.M. et al. Predicting Human Brain Activity Associated with the Meanings of Nouns. Science. 320 (2008): 1191–95; Vickery T.J. et al. Ubiquity and Specifiсity of Reinforcement Signals Throughout the Brain. Neuron. 72 (2011): 166–77.

274

Miyawaki Y. et al. Visual Image Reconstruction from Human Brain Activity Using a Combination of Multiscale Local Image Decoders. Neuron. 60 (2008): 915–29; Naselaris T. et al. Bayesian Reconstruction of Natural Images from Human Brain Activity. Neuron. 63 (2009): 902–15.

275

Langleben D.D., Moriarty J.C. Using Brain Imaging for Lie Detection: Where Science, Law, and Research Policy Collide. Psychology, Public Policy, and Law. 19 (2013): 222–34; Farah M.J. et al. Functional MRI-Based Lie Detection: Scientific and Societal Challenges. Nature Reviews Neuroscience. 15 (2014): 123–31; Poldrack R.A. The New Mind Readers: What Neuroimaging Can and Cannot Reveal About Our Thoughts. Princeton, NJ: Princeton University Press, 2018.

276

Ganis G. et al. Lying in the Scanner: Covert Countermeasures Disrupt Deception Detection by Functional Magnetic Resonance Imaging. NeuroImage. 55 (2011): 312–19.

277

Chang L., Tsao D.Y. The Code for Facial Identity in the Primate Brain. Cell. 169 (2017): 1013–28.

278

Nuyujukian P. et al. Cortical Control of a Tablet Computer by People with Paralysis. PLoS ONE. 13 (2018): e0204566.