Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have
consisted of ODEs representing the evolution of the transmembrane voltage and the …

Autism spectrum disorders (ASD) represent complex neurodevelopmental disorders
characterized by impairments in reciprocal social interactions, abnormal development and …

We propose, implement, and discuss an abstract model of the mammalian neocortex. This
model is instantiated with a sparse recurrently connected neural network that has spiking …

A method is presented for learning the reciprocal feedforward and feedback connections
required by the predictive coding model of cortical function. When this method is used …

In the insect olfactory system the antennal lobe generates oscillatory synchronization of its
output as a framework for coincidence detection by its target, the mushroom body (MB). The …

The inferior part of the parietal lobe (IPL) is known to play a very important role in
sensorimotor integration. Neurons in this region code goal-related motor acts performed with …

In order to perform object recognition it is necessary to learn representations of the
underlying components of images. Such components correspond to objects, object-parts, or …

Dual-system theories postulate that actions are supported either by a goal-directed or by a
habit-driven response system. Neuroimaging and anatomo-functional studies have provided …

Design of artificial neural structures capable of reliable and flexible long-term spatio–
temporal memory is of paramount importance in machine intelligence. To this end, we …

Predictive state representations (PSRs) offer an expressive framework for modelling partially
observable systems. By compactly representing systems as functions of observable …