Jessica J. R. Wright

Freeman's pioneering work -- and neurodynamics in general -- has largely ignored specification of an anatomical framework within which features of coherent objects are represented, associated, deleted, and manipulated in computations. Recent theoretical work suggests such a framework can emerge during embryogenesis by selection of neuron ensembles and synaptic connections that maximize the magnitude of synchrony while approaching ultra-small-world connectivity. The emergent structures correspond to those of both columnar and non-columnar cortex. With initial connections thus organized, spatio-temporal information in sensory inputs can generate systematic and specific patterns of synchronous oscillation, with consequent synaptic storage. The theoretical assemblies of connections resemble experimentally observed 'lego sets', while facilitation and interference among synchronous patterns, particularly when executed by fast synapses under metabolic entanglement, imply powerful parallel computation.

Human social intelligence includes a remarkable power to evaluate what people know and believe, and to assess the quality of well- or ill-formed beliefs. Epistemic evaluations emerge in a great variety of contexts, from moments of deliberate private reflection on tough theoretical questions, to casual social observations about what other people know and think. We seem to be able to draw systematic lines between knowledge and mere belief, to distinguish justified and unjustified beliefs, and to recognize some beliefs as delusional or irrational. This article outlines the main types of epistemic evaluations, and examines how our capacities to perform these evaluations develop, how they function at maturity, and how they are deployed in the vital task of sorting out when to believe what others say.