Revealing cell assemblies at multiple levels of granularity

Revealing cell assemblies at multiple levels of granularity

BACKGROUND Current neuronal monitoring techniques, such as calcium imaging and multi-electrode arrays, enable recordings of spiking activity from hundreds of neurons simultaneously. Of primary importance in systems neuroscience is the identification of cell assemblies: groups of neurons that cooperate in some form within the recorded population. NEW METHOD We introduce a simple, integrated fr...

Reasoning About Probabilistic Actions at Multiple Levels of Granularity

Models of physical actions are abstractions of the physical world and can never represent reality precisely. There are two fundamental choices anyone modeling physical action must face: The choice of what granularity to represent actions at and the choice of how to represent the state description. These two choices are closely coupled and form a basic tradeoff. Finer grain actions require more ...

Secure mobility at multiple granularity levels over heterogeneous datacom networks

Cell assemblies at multiple time scales with arbitrary lag constellations

Hebb's idea of a cell assembly as the fundamental unit of neural information processing has dominated neuroscience like no other theoretical concept within the past 60 years. A range of different physiological phenomena, from precisely synchronized spiking to broadly simultaneous rate increases, has been subsumed under this term. Yet progress in this area is hampered by the lack of statistical ...

Integrative Levels of Granularity

In their book, Granular Computing: An Introduction, Bargiela and Pedrycz present a view that granular computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with multiple levels. Different levels involve different types of processing. The lowest level concerns numeric processing, the intermediate level concerns...