Spiking Neural Network
A spiking neural network or SNN is a type of neural network designed to simulate the effects of spiking neurons in organic physiology. They incorporate the concept of time.
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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 understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns?
An excellent, easy-to-follow look at using neural networks to control the movement of AI vehicles (or dragons, or whatever). Includes careful break down of how neural networks work, and carries a gradual learning curve upwards.
Neural readers and neurostimulators. You will never encounter two more opposing types of brain prosthesis. It is ironic then, that these two are perhaps the most frequently confused, by the lay-person.
In neuroprosthetics, rather than guide the electrodes to neuron dendrites, why not guide neuron dendrites to the electrodes?
Japanese researchers have created the very first, incredibly crude, neural-jack interface, a distant ancestor of those seen in cyberpunk and the Matrix films, but of the same lineage all the same.
An in-depth technical look at the neural-controlled weapon in Sol Bianca. How it would actually function, and the basics of how we would go about recreating it in functional form, from technology available today.
This lengthy article, compiled from a set of slides, gives an excellent overview of neural networks, without delving into too much depth. Excellent for an intro.
Neural networks are one of the best techniques available, for modelling a mind. However, they are also processing-intensive, and somewhat uncontrollable at their current technological level. This article concentrates on using directive sets, rather than neural nets, to create realistic, task driven behaviour.
A seven-part series introducing network game programming, from the basics, through to advanced concepts. Winsock based.
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Cold Spring Harbor Laboratory neuroscientists have demonstrated that "spike timing" in cortical neurons can influence behavior even at minuscule time intervals, more precisely than previously imagined.
Texas Tech University researchers have developed a way to automatically diagnose epilepsy with an accuracy rate of 94 percent, by training a neural network to recognize the characteristic patterns in EEG data that indicate the patient is ep...
Conference Dates: August 26 ? 28, 2007
Location: Pennsylvania State University, State College, Pennsylvania, USA
This NIMH supported conference will provide an intensive dialogue among leading thinkers about the rapidl...
On the outside, everything about the one-week-old, 3.3lb Pleo Camarasaurus is very unrobotic. It walks with fluid, organic movements, its actions are spontaneous and derived from neural net software rather than straight programming. It has ...
Japanese research group led by Professor Junichi Nabekura in National Institute for Physiological Sciences, NIPS, Japan, found that, after cerebral stroke in one side of the mouse brain, another side of the brain rewires its neural circuits...