Significant Articles

Neuroscience

• Stochastic Wilson-Cowan equations for networks of excitatory and inhibitory neurons Cowan J (slide presentation).
• Self-organized criticality in a network of interacting neurons, Cowan JD, Neuman J, van Drongelen W: Self-organized criticality in a network of interacting neurons. J. Stat. Mech. 2013, 04: P04030.
• Single neuron dynamics, Brunel N, Hakim V, Richardson MJE: Single neuron dynamics and computation. Current Opinion in Neurobiology 2014, 25:149–155.
• The Science of Neural Interface Systems, Hatsopoulos NG, Donoghue JP: The Science of Neural Interface Systems. Annu. Rev. Neurosci 2009, 32:249–66.
• Understanding Brain Development, Rubenstein, J: Understanding Brain Development as a Foundation for Understanding Brain Diseases. BBRF Webinar May 13, 2014
• Information theory of adaptation, Sharpee, T.O., Calhoun, A.J., and Chalasani, S.H., Information theory of adaptation in neurons, behavior, and mood. Current Opinion in Neurobiology 2014, 25:47–53
• Signals and signs in the nervous system, Bullock TH (1997) Signals and signs in the nervous system: The dynamic anatomy of electrical activity is probably information-rich. Proc. Natl. Acad. Sci. USA 94: 1-6

Neuroscience – Really Crucial Early Papers

• Wilson, H.R., and J.D. Cowan. 1972. Excitatory and inhibitory interactions in localized populations of model neurons. Biophysical Journal 12, 1-24. (PDF)

Free Energy and Information Theory: Neuroscience

• The free-energy principle: a unified brain theory?, Friston K: The free-energy principle: a unified brain theory? Nature Reviews Neuroscience (February 2010), 11:127-138 (published online 13 January 2010; doi:10.1038/nrn2787)
• A Free Energy Principle for Biological Systems, Friston, K: A Free Energy Principle for Biological Systems. Entropy 2012, 14, 2100-2121 (doi:10.3390/e14112100)
• Phase Transitions in the Human Brain: Spatial Mode Dynamics, ARMIN FUCHS, J.A. SCOTT KELSO, and HERMANN HAKEN: Phase Transitions in the Human Brain: Spatial Mode Dynamics. Int. J. Bifurcation Chaos 02, 917 (1992). (DOI: 10.1142/S0218127492000537)
• Modeling Phase Transitions in the Brain, Steyn-Ross, Alistair, Steyn-Ross, Moira (Eds.); Modeling Phase Transitions in the Brain Springer Series in Computational Neuroscience, Vol. 4, (2010, XXV). Read Exerpts from Modeling Phase Transitions in the Brain.

Read More: http://www.worldscientific.com/doi/abs/10.1142/S0218127492000537

Karl Friston

Carrying Capacity of the Earth, Ecological Forecasting

• Turner, Graham M. (2008). A comparison of The Limits to Growth with 30 years of reality, Global Environmental Change, 18 (2008) 397– 411.

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• GEAS Discussion Paper (2012). One Planet, How Many People? A Review of Earth’s Carrying Capacity, UNEP Global Environmental Alert Service (GEAS) (June, 2012).

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• Pimentel, David et al. (2010). Will Limited Land, Water, and Energy Control Human
  Population Numbers in the Future?, Hum Ecol DOI 10.1007/s10745-010-9346-y.

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• Los Alamos National Laboratory Early Climate Change Detection, Novel plant monitor measures climate impacts and creates early-warning system to prevent ecological collapse (old reference; taken from an internal LANL publication, no URL found as of 2014/02/21).

What’s Missing From Rio+20?

http://www.wired.com/wiredscience/2012/06/earth-tipping-point/

Technosphere, Noosphere, and Singularities

• Noosphere, good links to history of noosphere concept evolution.

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• Sharma, Rakesh (2014). A New Perspective On The Internet Of Things, Forbes (February 18, 2014).

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• Chui, Michael, Löffler, Markus, and Roberts, Roger (2010). The Internet of Things, McKinsey Quarterly (March, 2010).

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PNAS Style:
10. Neuhaus J-M, Sitcher L, Meins F, Jr, Boller T (1991) A short C-terminal sequence is necessary and sufficient for the targeting of chitinases to the plant vacuole. Proc Natl Acad Sci USA 88(22):10362-10366.