Cellular, synaptic and network effects of neuromodulation

By Eve Marder, Vatsala Thirumalai. 2002

288 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

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Citations in the corpus

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Neuromodulation (Marder and Thirumalai, 2002; Gu, 2002; Bailey et al., 2000) is a mechanism that mediates neural processes by means of modulatory signals.”
Evolving neuromodulatory topologies for reinforcement learning-like problems (2007, methodology): “In our experiments, we show that simulated bees autonomously evolved a modulatory network to maximise the reward in a reinforcement learning-like environment.”
Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances (2013, background): “Neuromodulation, however, involves a variety of modulatory chemicals, which are observed to regulate a spectrum of neural functions, from arousal to attention, exploration, exploitation, memory consolidation, and other (Hasselmo, 1995; Marder and Thirumalai, 2002; Aston-Jones and Cohen, 2005).”
Please Scroll down for Article Connection Science Developmental Robotics: a Survey Developmental Robotics: a Survey (2003, unknown): “One of the primary roles of neuromodulatory systems is the conﬁguration and tuning of neural network dynamics at different developmental stages (Marder and Thirumalai 2002).”
Embodiment or envatment? Reflections on the bodily basis of consciousness (2010, background): “Network activity is determined both by the intrinsic properties of the network and the modulatory environment , mainly through the modulation of synaptic behavior (Marder 1998; Marder and Thirumalai 2002).”
Spectrum-Diverse Neuroevolution With Unified Neural Models (2017, background): “It is widely known that the biological neural networks are heavily based on inhibition/excitation principles with the groups of neurons influencing how other neurons will behave and if they are going or not going to activate [26], [27].”
Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “In turn, these processes have been linked to the formation of memory, brain function and considered fundamental in learning and adaptation (Gu, 2002; Marder and Thirumalai, 2002; Jay, 2003).”
Robot coverage control by evolved neuromodulation (2013, background): “Neuromodulation has been found to be pervasive throughout the brain, and can have drastic consequences on the behavior of neurons and neuronal circuits [11], [23], [24].”
The vibration signal, modulatory communication and the organization of labor in honey bees, Apis mellifera (2004, background): “These changes, in turn, modify the strength, duration and nature of subsequent activity (Katz, 1995, 1998; Marder and Thirumalai, 2002).”
Cortical firing and sleep homeostasis. (2009, background): “, 1993a) but can affect both intrinsic and synaptic conductances (Gil et al., 1997; Marder and Thirumalai, 2002).”
Similar network activity from disparate circuit parameters (2004, background): “Unlike many preparations with relatively ill-defined outputs or connectivity, this ganglion has a small number of neurons and a stereotyped motor pattern, making it relatively easy to determine when and how network behavior is influenced by changes in synaptic strength or intrinsic membrane properti”