LEADER 01212nam0-22003971i-450- 001 990005511100203316 005 20030801120000.0 035 $a000551110 035 $aUSA01000551110 035 $a(ALEPH)000551110USA01 035 $a000551110 100 $a20030507d1995-------|0enac50------ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aCurrency and coercion$ethe political economy of international monetary power$fJonathan Kirshner 210 $aPrinceton$cPrinceton University Press$d1995 215 $a289 p.$d24 cm 606 $aRelazioni economiche internazionali$2FI 606 $aMoneta$2FI 606 $aPolitica monetaria$2FI 620 $dPrinceton, New Jersey 676 $a332.4$cMoneta$v21 700 1$aKIRSHNER,$bJonathan$0614158 712 $aPrinceton University Press 801 $aIT$bSOL$c20120104 912 $a990005511100203316 950 $aDIP.TO SCIENZE ECONOMICHE - (SA)$dDS 300 332.4 KIR$e11201 DISES 951 $a300 332.4 KIR$b11201 DISES 959 $aBK 969 $aDISES 979 $c20121027$lUSA01$h1532 979 $c20121027$lUSA01$h1613 996 $aCurrency and coercion$91129628 997 $aUNISA NUM $aUSA12082 LEADER 03794nam 2200421z- 450 001 9910261137403321 005 20210212 035 $a(CKB)4100000002484718 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/59185 035 $a(oapen)doab59185 035 $a(EXLCZ)994100000002484718 100 $a20202102d2017 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSelf-Organization in the Nervous System 210 $cFrontiers Media SA$d2017 215 $a1 online resource (135 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88945-340-5 330 $aThis special issue reviews state-of-the-art approaches to the biophysical roots of cognition. These approaches appeal to the notion that cognitive capacities serve to optimize responses to changing external conditions. Crucially, this optimisation rests on the ability to predict changes in the environment, thus allowing organisms to respond pre-emptively to changes before their onset. The biophysical mechanisms that underwrite these cognitive capacities remain largely unknown; although a number of hypotheses has been advanced in systems neuroscience, biophysics and other disciplines. These hypotheses converge on the intersection of thermodynamic and information-theoretic formulations of self-organization in the brain. The latter perspective emerged when Shannon's theory of message transmission in communication systems was used to characterise message passing between neurons. In its subsequent incarnations, the information theory approach has been integrated into computational neuroscience and the Bayesian brain framework. The thermodynamic formulation rests on a view of the brain as an aggregation of stochastic microprocessors (neurons), with subsequent appeal to the constructs of statistical mechanics and thermodynamics. In particular, the use of ensemble dynamics to elucidate the relationship between micro-scale parameters and those of the macro-scale aggregation (the brain). In general, the thermodynamic approach treats the brain as a dissipative system and seeks to represent the development and functioning of cognitive mechanisms as collective capacities that emerge in the course of self-organization. Its explicanda include energy efficiency; enabling progressively more complex cognitive operations such as long-term prediction and anticipatory planning. A cardinal example of the Bayesian brain approach is the free energy principle that explains self-organizing dynamics in the brain in terms of its predictive capabilities - and selective sampling of sensory inputs that optimise variational free energy as a proxy for Bayesian model evidence. An example of thermodynamically grounded proposals, in this issue, associates self-organization with phase transitions in neuronal state-spaces; resulting in the formation of bounded neuronal assemblies (neuronal packets). This special issue seeks a discourse between thermodynamic and informational formulations of the self-organising and self-evidencing brain. For example, could minimization of thermodynamic free energy during the formation of neuronal packets underlie minimization of variational free energy? 606 $aNeurosciences$2bicssc 610 $aBayesian brain 610 $aconsciousness 610 $aHebbian assembly 610 $aMarkov blanket 610 $aneuronal packet 610 $aunderstanding 615 7$aNeurosciences 700 $aYan M. Yufik$4auth$01328847 702 $aBiswa Sengupta$4auth 702 $aKarl Friston$4auth 906 $aBOOK 912 $a9910261137403321 996 $aSelf-Organization in the Nervous System$93039025 997 $aUNINA