One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

We argue that prediction success maximization is a basic objective of cognition and cortex,
that it is compatible with but distinct from prediction error minimization, that neither objective …

Pyramidal neurons have a pivotal role in the cognitive capabilities of neocortex. Though they
have been predominantly modeled as integrate-and-fire point processors, many of them …

Abstract 'Cellular psychology'is a new field of inquiry that studies dendritic mechanisms for
adapting mental events to the current context, thus increasing their coherence, flexibility …

Deep learning (DL) has big-data processing capabilities that are as good, or even better,
than those of humans in many real-world domains, but at the cost of high energy …

The partial information decomposition (PID) framework is concerned with decomposing the
information that a set of (two or more) random variables (the sources) has about another …

Going beyond'dendritic democracy', we introduce a'democracy of local processors', termed
Cooperator. Here we compare their capabilities when used in permutation-invariant neural …

Intermuscular coupling analysis (IMC) provides important clues for understanding human
muscle motion control and serves as a valuable reference for the rehabilitation assessment …

What does it mean for a complex system to “compute” or perform “computations”? Intuitively,
we can understand complex “computation” as occurring when a system's state is a function …

Neocortical layer 5 thick-tufted pyramidal cells are prone to exhibiting burst firing on receipt
of coincident basal and apical dendritic inputs. These inputs carry different information, with …