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Such systems are an alternative to completely digital solutions for the simulation of spiking neurons or neural networks. ... This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). ... COMPUTATION OF SPIKING NEURAL NETWORKS A. Analog or Digital spiking neural networks? ...doi:10.1109/iscas.2007.378286 dblp:conf/iscas/RenaudTBDS07 fatcat:akxbcmtur5gtflchxqcftoux7i
We also compare the features of an application-specific integrated circuit built with this library with results obtained from software simulations. ... In this paper, we present a library of analog operators used for the analog real-time computation of the Hodgkin-Huxley formalism. ... Chen (National Tsing-Hwa University -Taiwan) for his helpful questions, and his encouragement to write this paper. ...doi:10.1109/tbcas.2010.2078816 pmid:23850974 fatcat:mrizhahjvjawnebbkmmwps3jea
The final goal of this tuning is to interconnect neuromimetic chips as neural networks, with specific cellular properties, for future theoretical studies in neuroscience. ... This method is an alternative technique to the classical estimation methods associated with voltage clamp measurements. ... spiking neural network. ...doi:10.1162/neco_a_00170 pmid:21671785 fatcat:hru2qxut6vcypfphvqnurl6m7m
We also present the design of a coupled neuron-synapse-astrocyte network enabled by compact neuromimetic devices by combining the concepts of local spike-timing dependent plasticity and astrocyte induced ... neural phase synchrony. ... For instance, analog CMOS circuits capturing the neural-glial transmitter behaviour have been demonstrated  ,  -  . ...arXiv:2007.00776v6 fatcat:dya5ocu6jre2feabjxu3r7oj3q
The IC contains 13.6 M transistors for 64 PNs. ... The "SpiNNaker" system has been developed with the goal of benefiting from massive parallel computation to simulate large-scale spiking neural networks in biological real-time,  . ...doi:10.1587/nolta.7.468 fatcat:2lvkjxhetnghtmbbow4mfcqqjm
Through a series of original research articles, this thesis describes the role of neural network feedback in top-down control of bursty ON and OFF type electrosensory neurons while processing motion toward ... with cancellation of the distraction; this supports the circuit's role as a robust 'sensory searchlight' mechanism for spatial attention. ... of cognitive neural networks. ...doi:10.20381/ruor-21098 fatcat:kunjmwm6hjawrajqp2vm2uj3je