Biologically inspired computing which is a branch of natural computing is the field of investigation that draws upon metaphors or theoretical models of biological systems in order to design computational tools or systems for solving complex problems. Spiking neural P systems [2] (shortly called SN P systems) are parallel and distributed computing models inspired by the neurobiological behaviour...

We propose two control strategies for achieving desired firing patterns in a physiologically realistic model neuron. The techniques are powerful, efficient, and robust, and we have applied them successfully to obtain a range of targeted spiking behaviors. The methods complement each other: one involves the manipulation of only a parameter, the applied soma current, and the other involves the ma...

IT IS WELL-ESTABLISHED THAT the vast majority of information is carried through the brain by action potentials. Exactly how this information is embedded within the spike train, however, has been a topic of some debate. Potential codes fall roughly into three categories: rate, timing, and synergy. In a rate code, the only thing that matters is the number of spikes that occur in a particular inte...

We present a minimal spiking network that can polychronize, that is, exhibit reproducible time-locked but not synchronous firing patterns with millisecond precision, as in synfire braids. The network consists of cortical spiking neurons with axonal conduction delays and spike-timing-dependent plasticity (STDP); a ready-to-use MATLAB code is included. It exhibits sleeplike oscillations, gamma (4...

Cerebellar Purkinje cells produce two distinct forms of action potential output: simple and complex spikes. Simple spikes occur spontaneously or are driven by parallel fibre input, while complex spikes are activated by climbing fibre input. Previous studies indicate that both simple and complex spikes originate in the axon of Purkinje cells, but the precise location where they are initiated is ...

Spiking neural P systems with anti-spikes (shortly named ASN P systems) are a class of distributed and parallel neural-like computing systems. Besides spikes, neurons in ASN P systems can also contain a number of anti-spikes. Whenever spikes and anti-spikes meet in a neuron, they annihilate each other immediately in a maximal manner, that is, the annihilation has priority over neuron’s spiking....

PURPOSE To correlate the persistence of contralateral spikes during sleep after unilateral surgery with seizure outcome in a temporal lobe epilepsy (TLE) population and to test the existing hypotheses about the origin of the contralateral spikes in temporal lobe epilepsy. METHODS In the 19 patients selected for this study unilateral temporal lobe surgery was performed. To investigate the cour...

Cortical synaptic plasticity depends on the relative timing of preand postsynaptic spikes and also on the temporal pattern of presynaptic spikes and of postsynaptic spikes. We study the hypothesis that cortical synaptic plasticity does not associate individual spikes, but rather whole firing episodes, and depends only on when these episodes start and how long they last, but as little as possibl...