Imperial College London


Faculty of EngineeringDepartment of Chemical Engineering

Senior Lecturer



+44 (0)20 7594 6633j.krishnan




C503Roderic Hill BuildingSouth Kensington Campus






BibTex format

author = {Krishnan, J and Floros, I},
doi = {10.1186/s12918-019-0703-1},
journal = {BMC Systems Biology},
title = {Adaptive information processing of network modules to dynamic and spatial stimuli},
url = {},
volume = {13},
year = {2019}

RIS format (EndNote, RefMan)

AB - BackgroundAdaptation and homeostasis are basic features of information processing in cells and seen in a broad range of contexts. Much of the current understanding of adaptation in network modules/motifs is based on their response to simple stimuli. Recently, there have also been studies of adaptation in dynamic stimuli. However a broader synthesis of how different circuits of adaptation function, and which circuits enable a broader adaptive behaviour in classes of more complex and spatial stimuli is largely missing.ResultsWe study the response of a variety of adaptive circuits to time-varying stimuli such as ramps, periodic stimuli and static and dynamic spatial stimuli. We find that a variety of responses can be seen in ramp stimuli, making this a basis for discriminating between even similar circuits. We also find that a number of circuits adapt exactly to ramp stimuli, and dissect these circuits to pinpoint what characteristics (architecture, feedback, biochemical aspects, information processing ingredients) allow for this. These circuits include incoherent feedforward motifs, inflow-outflow motifs and transcritical circuits. We find that changes in location in such circuits where a signal acts can result in non-adaptive behaviour in ramps, even though the location was associated with exact adaptation in step stimuli. We also demonstrate that certain augmentations of basic inflow-outflow motifs can alter the behaviour of the circuit from exact adaptation to non-adaptive behaviour. When subject to periodic stimuli, some circuits (inflow-outflow motifs and transcritical circuits) are able to maintain an average output independent of the characteristics of the input. We build on this to examine the response of adaptive circuits to static and dynamic spatial stimuli. We demonstrate how certain circuits can exhibit a graded response in spatial static stimuli with an exact maintenance of the spatial mean-value. Distinct features which emerge from the consideration of
AU - Krishnan,J
AU - Floros,I
DO - 10.1186/s12918-019-0703-1
PY - 2019///
SN - 1752-0509
TI - Adaptive information processing of network modules to dynamic and spatial stimuli
T2 - BMC Systems Biology
UR -
UR -
VL - 13
ER -