Spike encoding of sound consists in converting a sound waveform into spikes. It is of interest
in many domains, including the development of audio-based spiking neural network …

Negative correlations in the sequential evolution of interspike intervals (ISIs) are a signature
of memory in neuronal spike-trains. They provide coding benefits including firing-rate …

Neurons encode information in the form of spike times. It is argued that the timing between
spikes (ie, spike-timing) encodes the stimulus input. Spike threshold adaptation is …

Dans les systèmes neuromorphiques, les signaux variant dans le temps doivent être
encodés en trains de décharges. Il existe plusieurs techniques pour faire cela. L'étape de …

In this paper, an optimization-based approach to construct spiking networks for the purposes
of decoding and control is presented. Specifically, we postulate a simple objective function …

In the brain, networks of neurons produce activity that is decoded into perceptions and
actions. How the dynamics of neural networks support this decoding is a major scientific …

Negative correlations in the sequential evolution of interspike intervals (ISIs) are a signature
of memory in neuronal spike-trains. They provide coding benefits including firing-rate …

The sense of touch provides an intimate connection to our surroundings and is a critical
component for navigating the environment and manipulating objects. To better capture and …

Abstract Information transfer in neurons takes place through action potentials (spikes) which
are metabolically expensive. A neural coding approach was developed by Johnson et …

In the brain, neurons (brain cells) produce electrical impulses, or spikes, that are thought to
be the substrate of information processing and computation. Through enigmatic processes …