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Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks

Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Daouzli, Sylvain Saighi
2007 2007 IEEE International Symposium on Circuits and Systems  
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

A Library of Analog Operators Based on the Hodgkin-Huxley Formalism for the Design of Tunable, Real-Time, Silicon Neurons

Sylvain Saighi, Yannick Bornat, Jean Tomas, Gwendal Le Masson, Sylvie Renaud
2011 IEEE Transactions on Biomedical Circuits and Systems  
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

Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits

Laure Buhry, Filippo Grassia, Audrey Giremus, Eric Grivel, Sylvie Renaud, Sylvain Saïghi
2011 Neural Computation  
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

Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons [article]

Umang Garg, Kezhou Yang, Abhronil Sengupta
2021 arXiv   pre-print
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 [10] , [14] - [16] .  ... 
arXiv:2007.00776v6 fatcat:dya5ocu6jre2feabjxu3r7oj3q

Neuromorphic microelectronics from devices to hardware systems and applications

Alexandre Schmid
2016 Nonlinear Theory and Its Applications IEICE  
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, [89] .  ... 
doi:10.1587/nolta.7.468 fatcat:2lvkjxhetnghtmbbow4mfcqqjm

Top-down control of sensory focus in bursty pyramidal cell populations

Stephen E. Clarke, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
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