Electrophysiological mass potentials show complex spectral changes upon neuronal
activation. However, it is unknown to what extent these complex band-limited changes are …

Despite extensive research, the spatiotemporal span of neuronal activations associated with
the emergence of a conscious percept is still debated. The debate can be formulated in the …

Despite an extensive body of work, it is still not clear how short term maintenance of information
is implemented in the human brain. Most prior research has focused on “working memory…

Human brain imaging typically employs structured and controlled tasks to avoid variable
and inconsistent activation patterns. Here we expand this assumption by showing that an …

The unique profile of strong and weak cognitive traits characterizing each individual is of a
fundamental significance, yet their neurophysiological underpinnings remain elusive. Here, …

Human brain imaging typically employs structured and controlled tasks to avoid variable and
inconsistent activation patterns. Here we argue against this assumption by showing that an …

This paper introduces a novel optimization method for differential neural architecture search,
based on the theory of prediction with expert advice. Its optimization criterion is well fitted …

Automatic methods for Neural ArchitectureSearch (NAS) have been shown to produce state-of-the-art
network models, yet, their main drawback is the computational complexity of the …

Realistic use of neural networks often requires adhering to multiple constraints on latency,
energy and memory among others. A popular approach to find fitting networks is through …

Practical use of neural networks often involves requirements on latency, energy and memory
among others. A popular approach to find networks under such requirements is through …