The brain functions as a spatio-temporal information processing machine. Spatio-and
spectro-temporal brain data (STBD) are the most commonly collected data for measuring …

Abstract Information theory quantifies how much information a neural response carries about
the stimulus. This can be compared to the information transferred in particular models of the …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

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 …

Restoration of touch after hand amputation is a desirable feature of ideal prostheses. Here,
we show that texture discrimination can be artificially provided in human subjects by …

Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …

Most large-scale network models use neurons with static nonlinearities that produce analog
output, despite the fact that information processing in the brain is predominantly carried out …

The 'asymmetric sampling in time'(AST) hypothesis developed here provides a framework
for understanding a range of psychophysical and neuropsychological data on speech …

To a large extent, progress in neuroscience has been driven by the study of single-cell
responses averaged over several repetitions of stimuli or behaviours. However, the brain …

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 …