Dynamical principles in neuroscience

By Mikhail I. Rabinovich, Pablo Varona, Allen I. Selverston, Henry D. I. Abarbanel. 2006

780 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/69c8c6da7f9c68436d1724a8e1be6faaf3047747

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Cognitive Neuroscience

Citations in the corpus

Neural syntax: cell assemblies, synapsembles and readers (2010, positive): “In summary, the available research points to the critical roles of interneurons and inhibition in the formation and segregation of cell assemblies, and in organizing their temporal evolution (c.f., Rabinovich et al., 2006).”
Collective cognition in animal groups. (2009, methodology): “This is directly analogous to multistability in neural systems, in which multiple collective states (attractors) co-exist at the same value of the system’s parameters both within neurons themselves and in neural networks [ 20 ].”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “…different dynamical regimes (oscillations, bursting,...) in neuronal networks (Freeman, 2013; Freeman and Holmes, 2005; Haken, 2013; Kelso, 1984; Rabinovich et al., 2006; Werner, 2007), etc. Life –guided by evolution– has found its way to exploit very diverse types of order: crystalline…”
The quest for a Quantum Neural Network (2014, background): “A large class of NNs uses binary McCulloch–Pitts neurons [1,2], thus reducing the complex process of signal transmission in neural cells to the two states ‘active/resting’.”
Transient Cognitive Dynamics, Metastability, and Decision Making (2008, background): “for a remarkable example in human memory systems). At all levels of network complexity, the physiological mechanisms of competition are mainly implemented through inhibitory connections. Symmetric reciprocal inhibition leads to multistability and this is not an appropriate dynamical regime for the d”
Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations (2013, background): “transient and functional neuronal assemblies at different instants of time [158].”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “A good review about dynamical modeling of brain functions is [449].”