scholarly journals Dynamical Response Properties of Neocortical Neuron Ensembles: Multiplicative versus Additive Noise

2009 ◽  
Vol 29 (4) ◽  
pp. 1006-1010 ◽  
Author(s):  
C. Boucsein ◽  
T. Tetzlaff ◽  
R. Meier ◽  
A. Aertsen ◽  
B. Naundorf
Keyword(s):  
Additive Noise ◽  
Dynamical Response ◽  
Response Properties ◽  
Neocortical Neuron

Dynamical response properties of a canonical model for type-I membranes

2005 ◽  
Vol 65-66 ◽  
pp. 421-428 ◽  
Author(s):  
B. Naundorf ◽  
T. Geisel ◽  
F. Wolf
Keyword(s):  
Canonical Model ◽  
Dynamical Response ◽  
Type I ◽  
Response Properties

scholarly journals Low rattling: A predictive principle for self-organization in active collectives

Science ◽  
2020 ◽  
Vol 371 (6524) ◽  
pp. 90-95
Author(s):  
Pavel Chvykov ◽  
Thomas A. Berrueta ◽  
Akash Vardhan ◽  
William Savoie ◽  
Alexander Samland ◽  
...  
Keyword(s):  
Complex Systems ◽  
Collective Behavior ◽  
Molecular Motor ◽  
Self Organization ◽  
Active Particle ◽  
Dynamical Response ◽  
External Forcing ◽  
Response Properties ◽  
Emergent Order ◽  
And Control

Self-organization is frequently observed in active collectives as varied as ant rafts and molecular motor assemblies. General principles describing self-organization away from equilibrium have been challenging to identify. We offer a unifying framework that models the behavior of complex systems as largely random while capturing their configuration-dependent response to external forcing. This allows derivation of a Boltzmann-like principle for understanding and manipulating driven self-organization. We validate our predictions experimentally, with the use of shape-changing robotic active matter, and outline a methodology for controlling collective behavior. Our findings highlight how emergent order depends sensitively on the matching between external patterns of forcing and internal dynamical response properties, pointing toward future approaches for the design and control of active particle mixtures and metamaterials.

scholarly journals The Dynamical Response Properties of Neocortical Neurons to Temporally Modulated Noisy Inputs In Vitro

2008 ◽  
Vol 18 (9) ◽  
pp. 2086-2097 ◽  
Author(s):  
Harold Köndgen ◽  
Caroline Geisler ◽  
Stefano Fusi ◽  
Xiao-Jing Wang ◽  
Hans-Rudolf Lüscher ◽  
...  
Keyword(s):  
Dynamical Response ◽  
Response Properties ◽  
Neocortical Neurons ◽  
Noisy Inputs

scholarly journals Dynamical response properties of neocortical neurons to conductance-driven time-varying inputs

2017 ◽  
Vol 47 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Daniele Linaro ◽  
István Biró ◽  
Michele Giugliano
Keyword(s):  
Dynamical Response ◽  
Time Varying ◽  
Response Properties ◽  
Neocortical Neurons

A METHOD FOR AUTOMATIC BLIND ESTIMATION OF ADDITIVE NOISE VARIANCE IN DIGITAL IMAGES

2010 ◽  
Vol 69 (19) ◽  
pp. 1681-1702
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
A. V. Popov ◽  
P. Ye. Eltsov ◽  
Benoit Vozel ◽  
...  
Keyword(s):  
Additive Noise ◽  
Digital Images ◽  
Blind Estimation ◽  
Noise Variance
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