Unconventional Computing
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Rescooped by Daniel Terán from Biobit: Computational Neuroscience & Biocomputation
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In Pursuit of Quantum Biology With Birgitta Whaley | Simons Foundation

In Pursuit of Quantum Biology With Birgitta Whaley | Simons Foundation | Unconventional Computing | Scoop.it
An interview with the Berkeley chemist K. Birgitta Whaley on the promise and challenge of translating quantum biology into practical quantum devices.

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Rescooped by Daniel Terán from Biobit: Computational Neuroscience & Biocomputation
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Resting brains never rest: computational insights into potential cognitive architectures


Via Nima Dehghani
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Nima Dehghani's curator insight, September 9, 2013 9:17 AM

full paper:

http://www.cell.com/trends/neurosciences/abstract/S0166-2236(13)00039-8

 

interesting story...press news from Deco's unversity:

During the normal waking state, the brain is in a constant state of internal exploration through the formation and dissolution of resting-state functional networks (RSNs).

Based on large-scale computer models of the brain, the best fit to observed data comes when the networks are at the 'edge of instability'. Such a position is a distinct advantage for the efficiency and speed of network mobilization for perception and action.

A research article, published on May 2 in the journal Trends in Neurosciences, led byGustavo Deco, an ICREA researcher at DTIC ICREA-UPF and director of the Center for Brain and Cognition and Computational Neuroscience Group at Pompeu Fabra University, in collaboration with Viktor K. Jirsa, from the INSERM Marseille (France), and Anthony R. McIntosh, from the University of Toronto (Canada), provides theoretical and empirical questions to better link resting-state networks to cognitive architectures.

Resting-state networks (RSNs), which have become a main focus in neuroimaging research, can be best simulated by large-scale cortical models in which networks teeter on the edge of instability. In this state, the functional networks are in a low firing stable state while they are continuously pulled towards multiple other configurations. Small extrinsic perturbations can shape task-related network dynamics, whereas perturbations from intrinsic noise generate excursions reflecting the range of available functional networks.

This is particularly advantageous for the efficiency and speed of network mobilization. Thus, the resting state reflects the dynamical capabilities of the brain, which emphasizes the vital interplay of time and space. In this article, we propose a new theoretical framework for RSNs that can serve as a fertile ground for empirical testing.

One of the concluding remarks of the study is as brain network properties change, be it due to intersubject variability, learning, disease, aging, or development, the critical point of the network will also change, as will its associated dynamic features, including the subspace spanned by the RSNs and optimality of information processing through the network.

If criticality is indeed a principle of functional brain organization, then homeostatic mechanisms are required to maintain the brain network at criticality, which can be explored in theoretical and empirical work 

The measurement and modelling techniques discussed in this paper are therefore relevant not only for basic neuroscience, but also for their applications in the field of biomedicine.

Rescooped by Daniel Terán from Biobit: Computational Neuroscience & Biocomputation
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The Humans With Super Human Vision | DiscoverMagazine.com

The Humans With Super Human Vision | DiscoverMagazine.com | Unconventional Computing | Scoop.it
An unknown number of women may perceive millions of colors invisible to the rest of us. One British scientist is trying to track them down and understand their extraordinary power of sight.

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Nima Dehghani's curator insight, September 4, 2013 8:35 AM

So, my red is not their red!..The color rainbow that a tetrachromat sees is out of the perception and imagination zone of most humans. I think that these are the "mutants", where the nature is testing its evolutionary tricks to see what other adjustments have to be done in their brain wiring and switches and knobs. Perhaps in some years ahead, tetrachromats will be majority. Can we speed up this evolutionary process. That is the right question.

 

and that the Mantis shrimp has 16 cones, makes it a wonderful oatmeal comic :)

http://theoatmeal.com/comics/mantis_shrimp