This paper investigated how the reliability of a thalamocortical relay (TCR) cell changes if it goes from a bursting to a spiking regime, using two measures: the coincidence factor and the Hunter and Milton measure.
Sensory information is often processed by populations of neurons that vary with respect to their levels of spiking activity. It appears plausible that neurons that fire more often are capable of following faster changes in the input signal than those with lower firing rates. In this study, we test this intuitive assump...
Alexander Wendt, Kolja Klett, J. Benda et al.· Biological cybernetics· 0 citations
Determining the amount of information a neuron receives per unit of time is key to understanding brain connectivity and how neural networks encode and transmit information. In particular, estimating this information flow by distinguishing between excitatory and inhibitory synaptic contributions is critical to understan...
R. M. Delicado-Moll, A. Guillamón, A. E. Teruel et al.· bioRxiv· 0 citations
This work presents a Hebbian local learning rule that models synaptic modification as a function of calcium traces tracking neuronal activity and demonstrates how spike timing and rate can be complementary in their role of shaping the connectivity of spiking neural networks.
Willian Soares Girāo, Nicoletta Risi, Caroline Geisler et al.· Neuromorphic Computing and E...· 0 citations
The previously proposed Neural Mode (J. Kanev, A. Koutsou, C. Christodoulou, K. Obermayer; 2016; Neural Computation, 28(10):2091-2128) quantifies to what extent spiking neurons use temporal integration or coincidence detection to calculate their output from their input. While the Neural Mode is easy to measure, paramet...
Jacob Kanev, C. Christodoulou, A. Koutsou et al.· Biological cybernetics· 0 citations
It is shown that recurrent connectivity does not merely permit phase-of-firing codes but actively determines which patterns the network can hold onto, and that the symmetries of the wiring determines which of those patterns the network can stably hold.
M. R. Pratyush, Collins G. Assisi· bioRxiv· 0 citations
With the development of neuromorphic computing, threshold-switching devices have been widely explored for implementing artificial neurons, but the stability of such circuits remains a critical challenge. This work systematically investigates the Hodgkin–Huxley (HH) neuron based on NbOx threshold devices from the perspe...
Hui-Ling Chen, Hao-Ran Chen, Qing-Hai Xia et al.· Journal of Applied Physics· 0 citations
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