Abstract
In order to grasp the entire complexity of the human nervous system, one needs to understand its physical substrate. Down to which level should a whole brain emulation keep all the structural details of the brain in order to achieve all of the functions of the biological brain? While a computer program could easily be emulated in order to achieve the same specified function, the human brain is a special case because of its enormously complex functions. For this reason, causal relations between brain structure and function are currently being made in neuroscience. Neuroscientific research is in this sense supporting WBE and therefore AGI, by providing important data, models and simulations of brain functions. The goals of this paper are to review the challenges for gathering and assembling connectome data and to provide directions for overcoming these challenges. Finally, the implications for AGI will be discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alivisatos, P., Chun, M., Church, G.M., Greenspan, R.J., Roukes, M.L., Yuste, R.: The Brain Activity Map Project and the Challenge of Functional Connectomics. Neuron 74(6), 970–974 (2012), doi:10.1016/j.neuron.2012.06.006
Chen, X., Leischner, U., Rochefort, N.L., Nelken, I., Konnerth, A.: Functional mapping of single spines in cortical neurons in vivo. Nature 475(7357), 501–505 (2011), doi:10.1038/nature10193
Corlan, A.D.: Medline trend: automated yearly statistics of PubMed results for any query (2004), Web resource at http://dan.corlan.net/medline-trend.html , The full trend can be viewed here http://dan.corlan.net/cgi-bin/medline-trend?Q=neuro
Deca, D.: Available Tools for Whole Brain Emulation. IJMC 4(1), 67–86 (2012), doi:10.1142/S1793843012400045
Denk, W., Strickler, J.W., Webb, W.W.: Two-photon laser scanning fluorescence microscopy. Science 248(4951), 73–76 (1990), doi:10.1126/science.2321027
Du, J., et al.: J. Micromech. Microeng. 19, 075008 (2009), doi:10.1088/0960-1317/19/7/075008
Grienberger, C., Konnerth, A.: Imaging calcium in neurons. Neuron 73(5), 862–885 (2012); Review
Kodandaramaiah, S.B., Franzesi, G.T., Chow, B.Y., Boyden, E.S., Forest, C.R.: Automated whole-cell patch-clamp electrophysiology of neurons in vivo. Nature Methods 9, 585–587 (2012), doi:10.1038/nmeth.1993
Lichtman, J.W., Denk, W.: The Big and the Small: Challenges of Imaging the Brain’s Circuits. Science 334(6056), 618–623 (2011), doi:10.1126/science.1209168
Livet, J., Weissman, T.A., Kang, H., Draft, R.W., Lu, J., Bennis, R.A., Sanes, J.R., Lichtman, J.W.: Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system. Nature 450, 56–62 (2007), doi:10.1038/nature06293
Lois, J.H., Rice, C.D., Yates, B.J.: Neural circuits controlling diaphragm function in the cat revealed by transneuronal tracing. Journal of Applied Physiology 106(1), 138–152 (2009), doi:10.1152/japplphysiol.91125.2008
Lu, J., Tapia, J.C., White, O.L., Lichtman, J.W.: The Interscutularis Muscle Connectome. PLoS Biol. 7, e1000032 (2009)
Knöpfel, T., Lin, M.Z., Levskaya, A., Tian, L., Lin, J.L., Boyden, E.S.: Toward the Second Generation of Optogenetic Tools. The Journal of Neuroscience 30(45), 14998–15004 (2010), doi:10.1523/JNEUROSCI.4190-10.2010
Hirase, H., Nikolenko, V., Yuste, R.: Multiphoton stimulation of neurons and spines. Cold Spring Harb Protoc. 2012(4), 472–475 (2012), doi:10.1101/pdb.prot068569
Rogan, S.C., Roth, B.L.: Remote Control of Neuronal Signaling. Pharmacological Reviews 63(2), 291–315 (2011), doi:10.1124/pr.110.003020
Peterka, D.S., Takahashi, H., Yuste, R.: Voltage Imaging in Neurons. Neuron 69(1), 9–21 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Deca, D. (2012). 2012: The Connectome, WBE and AGI. In: Bach, J., Goertzel, B., Iklé, M. (eds) Artificial General Intelligence. AGI 2012. Lecture Notes in Computer Science(), vol 7716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35506-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-35506-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35505-9
Online ISBN: 978-3-642-35506-6
eBook Packages: Computer ScienceComputer Science (R0)