50 citations · 242 across the 19 of their papers we have counts for
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Long anisotropic absolute refractory periods with rapid rise-times to reliable responsiveness
Shira Sardi, Roni Vardi, Yael Tugendhaft +3
Refractoriness is a fundamental property of excitable elements, such as neurons, indicating the probability for re-excitation in a given time-lag, and is typically linked to the ne…
Significant anisotropic neuronal refractory period plasticity
Roni Vardi, Yael Tugendhaft, Shira Sardi +1
Refractory periods are an unavoidable feature of excitable elements, resulting in necessary time-lags for re-excitation. Herein, we measure neuronal absolute refractory periods (AR…
Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms
Shira Sardi, Roni Vardi, Yuval Meir +4
Attempting to imitate the brain functionalities, researchers have bridged between neuroscience and artificial intelligence for decades; however, experimental neuroscience has not d…
Simultaneous multi-patch-clamp and extracellular-array recordings: Single neuron reflects network activity
Roni Vardi, Amir Goldental, Shira Sardi +2
The increasing number of recording electrodes enhances the capability of capturing the network's cooperative activity, however, using too many monitors might alter the properties o…
Vitality of Neural Networks under Reoccurring Catastrophic Failures
Shira Sardi, Amir Goldental, Hamutal Amir +2
Catastrophic failures are complete and sudden collapses in the activity of large networks such as economics, electrical power grids and computer networks, which typically require a…
Fast Reversible Learning based on Neurons functioning as Anisotropic Multiplex Hubs
Roni Vardi, Amir Goldental, Anton Sheinin +2
Neural networks are composed of neurons and synapses, which are responsible for learning in a slow adaptive dynamical process. Here we experimentally show that neurons act like ind…