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e, and the same affections which they themselves feel." Some fMRI studies lend support to this idea. In the 24 March issue of the Proceed- ings of the National Academy of Sciences, a team led by Jordan Grafman of the National Institute of Neurological Disorders and Stroke in Bethesda, Maryland, asked 40 peo- ple to evaluate
ing like a god," says experi- mental psychologist Justin Barrett of the Uni- versity of Oxford in the Unit
e, and the same affections which they themselves feel." Some fMRI studies lend support to this idea. In the 24 March issue of the Proceed- ings of the National Academy of Sciences, a team led by Jordan Grafman of the National Institute of Neurological Disorders and Stroke in Bethesda, Maryland, asked 40 peo- ple to evaluate
thing like a got says experi- mental psychologist Justin Barrett of the Uni- versity of Oxford in the Unit
, and the same affections which they themselves feel." Some fM RI studies lend support to this idea. In the 24 March issue of the Proceed- ings of the National Academy of Sciences, a team led by Jordan Grafman of the National Institute of Neurological Disorders and Stroke in Bethesda, Maryland, asked 40 peo- ple to evaluate
ing like a god," says experi- mental psychologist Justin Barrett of the Uni- versity of Oxford in the Unit
l Themes. Basic Books, 1996. Hop82. J J Hopfield. Neural networks and physical systems with emergent collective computational abil- ities. Proc. of the National Academy of Sciences, 79:2554-2558, 1982. HOT06. G. E. Hinton, S. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-155
f tran- sient neuronal assemblies in visual compared to auditory cortex. Experimental Brain Research, 143E-1106, 2007. CTS+ 98. XI. Commons, E..1. Trudeau, S. A. Stein, F. A. Richards, and S. R. Krause. Hierarchical complexity of tasks shows the existence of developmental stages. Developmental Review.
al Themas. Basic Books, 1996. Hop82. J J Hopfield. Neural networks and physical systems with emergent collective computational abil- ities. Proc. of the National Academy of Sciences, 79:2554—2558, 1982. HOTO6. G. E. Hinton, 5. Osindero, and Y. Teh. A fast learning algorithm for deep belief nets. Neural Computation, 18:1527-1554
ain Research, 1432-1106, 2007. M. Commons, E. J. Trudeau, S. A. Stein, F. A. Richards, and S. R. Krause. H
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