Biological pattern generation: the cellular and computational logic of networks in motion.

By Sten Grillner. Neuron, 2006

915 citations recorded by the source corpus.

Subfields: Cell Biology, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/c070417f0513b00785df1fc796e98406d23bfe04

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Citations in the corpus

Cortical control of arm movements: a dynamical systems perspective. (2013, background): “Since then, the approach has shaped our understanding of central pattern generators (e.g., Grillner 2006, Kopell & Ermentrout 2002) and the brain stem circuitry that guides eye movements (e.g., Lisberger & Sejnowski 1992, Skavenski & Robinson 1973).”
NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail (2010, background): “This includes investigation of synchronous activity [13,14], oscillations [15–17], sensory representation [18,19], locomotion [20] and memory [21] together with”
Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms (2013, neutral): “In simple systems, neurons are often endowed with pacemaker currents, which favor rhythmic activity and resonance in specific frequency bands (Grillner 2006; Marder and Rehm, 2005).”
Self-organized adaptation of a simple neural circuit enables complex robot behaviour (2010, background): “The ci are self-adapting control signals and μ is the control strength (see equations (2)– (4) and text for details).”
Central pattern generators for locomotion control in animals and robots: A review (2008, background): “…and interesting related reviews exist on the organization of animal locomotor systems (Bizzi, Tresch, Saltiel, & d'Avella, 2000; Dickinson et al., 2000; Loeb, 2001; Grillner, 2006), and the modelling of animal locomotion (Full & Koditscheck, 1999; Holmes, Full, Koditschek, & Guckenheimer, 2006).”
Spontaneous network activity and synaptic development (2013, neutral): “Whereas early activity (before birth in rodents) synchronizes central pattern generators (CPGs) on both sides, later bursts of activity (after birth in rodents) occur antiphasically in left and right CPGs (Nakayama and others 2002).”
Basis for a neuronal version of Grover's quantum algorithm (2014, background): “Unsurprisingly, given their preeminent status as computational units (cf. Koch and Segev, 2000; Grillner, 2006), single neurons are still favored models for bioinspired smart technologies (e.g., Liu et al., 2013).”
Controlling Recurrent Neural Networks by Conceptors (2014, background): “Frequency adaptation of neural oscillators is an important theme in research on biological pattern generators (CPGs) (reviews: [40, 50]).”
Patterned control of human locomotion (2012, background): “7A represents the classic half-centre oscillator (Grillner, 2006).”