Humankind has the ability of learning new things automatically due to the capacities with
which we were born. We simply need to have experiences, read, study… live. For these …

This survey presents the most relevant neural network models of autism spectrum disorder
and schizophrenia, from the first connectionist models to recent deep neural network …

The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to
clustering problems and data exploration in industry, finance, natural sciences, and …

The Routledge Dictionary of Language and Linguistics is a unique reference work for
students and teachers of linguistics. The highly regarded second edition of the Lexikon der …

In this groundbreaking book, Manuel DeLanda analyzes different genres of simulation, from
cellular automata and generic algorithms to neural nets and multi-agent systems, as a …

This groundbreaking monograph offers a mechanistic theory of the representation and use
of semantic knowledge, integrating the strengths and overcoming many of the weaknesses …

A variety of scientific disciplines have set as their task explaining mental activities,
recognizing that in some way these activities depend upon our brain. But, until recently, the …

In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind
works, one that says that the mind is a computer-like manipulator of symbols, and another …

This review summarizes a range of theoretical approaches to language acquisition. It argues
that language representations emerge from interactions at all levels from brain to society …

Scripts encode knowledge of prototypical sequences of events. We describe a Recurrent
Neural Network model for statistical script learning using Long Short-Term Memory, an …