Phase-dependent neuronal coding of objects in short-term memory

By Markus Siegel, Melissa R. Warden, Earl K. Miller. Proceedings of the National Academy of Sciences of the United States of America, 2009

586 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/aac9772515707282012cd566ab104e405975879a

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In Cognitive Neuroscience

Citations in the corpus

Noise as a Resource for Computation and Learning in Networks of Spiking Neurons (2014, unknown): “apparently also used by the brain [65], [66].”
Toward an Integration of Deep Learning and Neuroscience (2016, background): “This question is undergoing extensive study in primates (Warden and Miller, 2007, 2010; Siegel et al., 2009; Rigotti et al., 2013).”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “Gamma oscillations have been hypothesized to subserve mechanistic functions like assembly formation (Singer, 1999; Fries, 2005; Buzsáki, 2010), phase coding (Fries et al., 2007; Siegel et al., 2009; Vinck et al., 2010a), selective communication (Fries, 2005; Burchell et al.”
Prefrontal Cortex Networks Shift from External to Internal Modes during Learning (2016, result): “In contrast, we observed little evidence for a role for gamma oscillations in our data, in line with previous work suggesting gamma oscillations are less prominent in the frontal cortex (Siegel et al., 2009; Antzoulatos and Miller, 2014) than in the posterior visual cortex (Bastos et al., 2015).”
Assembly pointers for variable binding in networks of spiking neurons (2016, background): “Some data shows that the relation between spiking activity and the phases of underlying oscillatory population activity may play a role in hippocampus and for working memory [25], indicating a possible role of synchrony in the binding process.”
Discrete Capacity Limits in Visual Working Memory (2010, background): “[28] found that when monkeys performed a two-item sequential STM task, gamma oscillations over prefrontal cortex contained information about each object in separate phase orientations.”
Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks (2011, background): “It is true that, in the analysis of stationary synchronization, where the time dimension is collapsed and there is only one coherence vector per trial, a complex average would have probably increased sensitivity due to better noise cancellation (Siegel et al., 2009).”
The Theta-Gamma Neural Code (2013, unknown): “…this, experiments in monkeys have shown that persistent firing during a working memory task is phase locked to low-frequency (theta/delta) oscillations in the local field potential, both in extrastriate cortex (Lee et al., 2005; Liebe et al., 2012) and in prefrontal cortex (Siegel et al., 2009).”