Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit.

Digital circuits such as the flip-flop use feedback to achieve multistability and nonlinearity to restore signals to logical levels, for example 0 and 1. Analogue feedback circuits are generally designed to operate linearly, so that signals are over a range, and the response is unique. By contrast, the response of cortical circuits to sensory stimulation can be both multistable and graded. We propose that the neocortex combines digital selection of an active set of neurons with analogue response by dynamically varying the positive feedback inherent in its recurrent connections. Strong positive feedback causes differential instabilities that drive the selection of a set of active neurons under the constraints embedded in the synaptic weights. Once selected, the active neurons generate weaker, stable feedback that provides analogue amplification of the input. Here we present our model of cortical processing as an electronic circuit that emulates this hybrid operation, and so is able to perform computations that are similar to stimulus selection, gain modulation and spatiotemporal pattern generation in the neocortex.

Helper T cell differentiation is controlled by the cell cycle.

Helper T (Th) cell differentiation is highly regulated by cytokines but initiated by mitogens. By examining gene expression in discrete generations of dividing cells, we have delineated the relationship between proliferation and differentiation. Initial expression of IL-2 is cell cycle-independent, whereas effector cytokine expression is cell cycle-dependent. IFNgamma expression increases in frequency with successive cell cycles, while IL-4 expression requires three cell divisions. Cell cycle progression and cytokine signaling act in concert to relieve epigenetic repression and can be supplanted by agents that hyperacetylate histones and demethylate DNA. Terminally differentiated cells exhibit stable epigenetic modification and cell cycle-independent gene expression. These data reveal a novel mechanism governing Th cell fate that initially integrates proliferative and differentiative signals and subsequently maintains stability of the differentiated state.