Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

Dynamic causal modeling (DCM) provides a framework for the analysis of effective
connectivity among neuronal subpopulations that subtend invasive (electrocorticograms and …

Visual illusions and hallucinations are hallmarks of serotonergic hallucinogen-induced
altered states of consciousness. Although the serotonergic hallucinogen psilocybin activates …

In The Mind within the Brain, David Redish brings together cutting edge research in
psychology, robotics, economics, neuroscience, and the new fields of neuroeconomics and …

The present work addresses the adoption of multiset similarity, more specifically the real-
valued Jaccard and coincidence indices, as an element underlying artificial neurons. The …

Based on the authors' groundbreaking research, Automated EEG-Based Diagnosis of
Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a …

Serotonergic hallucinogens, such as lysergic acid diethylamide (LSD), psilocybin, and N, N-
dimethyltryptamine (DMT), are famous for their capacity to temporally and profoundly alter …

Continuous attractor is a promising model for describing the encoding of continuous stimuli
in neural systems. In a continuous attractor, the stationary states of the neural system form a …

The membrane potential of an isolated biological neuron results from the concentration
difference between intracellular and extracellular ions. Any external disturbance and …

Understanding how the dynamics of a neural network is shaped by the network structure
and, consequently, how the network structure facilitates the functions implemented by the …