Approaching limitations of digital computing technologies have spurred research in
neuromorphic and other unconventional approaches to computing. Here we argue that if we …

Connectionist and dynamical systems approaches explain human thought, language and
behavior in terms of the emergent consequences of a large number of simple noncognitive …

Neural activity is often described in terms of population-level factors extracted from the
responses of many neurons. Factors provide a lower-dimensional description with the aim of …

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be
implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes …

The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …

We propose an original design for a neuron-inspired photonic computational primitive for a
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …

Electrophysiological recording studies in the dorsocaudal region of medial entorhinal cortex
(dMEC) of the rat reveal cells whose spatial firing fields show a remarkably regular …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

A defense of the computational explanation of cognition that relies on mechanistic
philosophy of science and advocates for explanatory pluralism. In this book, Marcin …

Most of the networks used by computer scientists and many of those studied by modelers in
neuroscience represent unit activities as continuous variables. Neurons, however …