A regularity index for dendrites - local statistics of a neuron's input space

It is widely hypothesized that confidence reflects the computed probability that a decision is accurate; however, this hypothesis has not been fully explored. Adler et al. use several human behavioral experiments to test a variety of models that may be considered to be distinct hypotheses about the computational underpinnings of confidence.

Pina et al. propose a novel computational model of a network of oscillatory neuronal populations that captures salient attributes of working memory and binding by allowing for both stable synchronous and asynchronous activity. .

How can we capture the incredible complexity of brain circuits in quantitative models, and what can such models teach us about mechanisms underlying brain activity? To answer these questions, Arkhipov et al. set out to build extensive, bio-realistic models of brain circuitry by employing systematic datasets on brain structure and function.