2014
DOI: 10.1146/annurev-neuro-071013-013958
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: Neuromodulation underlies many behavioral states and has been extensively studied in small circuits. This has allowed the systematic exploration of how neuromodulatory substances and the neurons that release them can influence circuit function. The physiological state of a network and its level of activity can have profound effects on how the modulators act, a phenomenon known as state dependence. We provide insights from experiments and computational work that show how state dependence can arise and the conse… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

6
237
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 245 publications
(243 citation statements)
references
References 98 publications
6
237
0
Order By: Relevance
“…We characterized the structure of the pyloric rhythm using aspects of LP activity over long periods of time. We restricted our analysis to the LP neuron, because this neuron has been shown to be the most sensitive to perturbations (Tang et al, 2012;Marder et al, 2014;Soofi et al, 2014). Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We characterized the structure of the pyloric rhythm using aspects of LP activity over long periods of time. We restricted our analysis to the LP neuron, because this neuron has been shown to be the most sensitive to perturbations (Tang et al, 2012;Marder et al, 2014;Soofi et al, 2014). Fig.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, structural interactions between Cav3 and Kv4 channel families are known to regulate neuronal activity through efficient transfer of calcium influx from Cav3 channels to bind onto KChIPs that modulate Kv4 channel function (Anderson et al, 2010). Finally, these channels can undergo activity-dependent plasticity and neuromodulation (Biel et al, 2009;Cantrell and Catterall, 2001;He et al, 2014;Hoffman and Johnston, 1999;Lee and Dan, 2012;Marder, 2012;Marder et al, 2014;Marder and Thirumalai, 2002;Robinson and Siegelbaum, 2003), which also could result in significant changes to their trafficking and functional properties (Sec. 3.6).…”
Section: Degeneracy In the Properties Of Channels And Receptorsmentioning
confidence: 99%
“…The third section explores the important question on the feasibility of establishing oneto-one structure-function relationships in systems that exhibit degeneracy through significant and Hacker, 2003;Bickle, 2015;Jazayeri and Afraz, 2017;Krakauer et al, 2017;Panzeri et al, 2017) to more focused debates on the specific cellular components that are involved in specific behavior (Bliss and Collingridge, 1993;Kandel et al, 2014;Kim and Linden, 2007;Martin et al, 2000;Mayford et al, 2012;Mozzachiodi and Byrne, 2010;Neves et al, 2008a;Zhang and Linden, 2003), have significantly contributed to our emerging understanding of neural systems and their links to behavior. Several studies have covered the breadth and depth of these debates (Bargmann and Marder, 2013;Bennett and Hacker, 2003;Bickle, 2015;Jazayeri and Afraz, 2017;Jonas and Kording, 2017;Kandel et al, 2014;Katz, 2016;Kim and Linden, 2007;Krakauer et al, 2017;Lazebnik, 2002;Marder, 1998Marder, , 2011Marder, , 2012Marder et al, 2014;Marder and Thirumalai, 2002;Mayford et al, 2012;Panzeri et al, 2017;Tytell et al, 2011), and will not be the focus of this review.…”
Section: Introductionmentioning
confidence: 99%
“…Truman (1978) demonstrated that molting motor programs in the hawkmoth Manduca could be triggered by eclosion hormone. Decades of research on the crustacean stomatogastric nervous system have demonstrated that different modulatory neurotransmitters select different functional circuits in the stomatogastric ganglion (STG; Marder et al, 2014).…”
Section: Chemical Coding In the Feeding Networkmentioning
confidence: 99%